User Research Quotes

In short, physicians are getting more and more data, which requires more sophisticated interpretation and which takes more time. AI is the solution, enhancing every stage of patient care from research and discovery to diagnosis and therapy selection. As a result, clinical practice will become more efficient, convenient, personalized, and effective.

If you think user research is expensive, you should look at the cost of building the wrong thing.

Immature product teams make the same mistake: They want users to understand their products but refuse to understand their users.

If you think user research is expensive, you should look at the cost of building the wrong thing.

When you design a product or service 
 You can guess or you can user research

Many people make their way to user experience by crossing over from an adjacent field. These crossovers are the people who are carrying UX forward, taking it to new levels and new organizations.

Never go into user research to prove a point, and never create goals that seek to justify a position or reinforce a perspective. The process should aim to uncover what people really want and how they really are, not whether an opinion (whether yours or a stakeholder’s) is correct

Yet the flip side of the coin was all the positive literature about radium. As early as 1914, specialists knew that radium could deposit in the bones of radium users and that it caused changes in their blood. These blood changes, however, were interpreted as a good thing—the radium appeared to stimulate the bone marrow to produce extra red blood cells. Deposited inside the body, radium was the gift that kept on giving. But if you looked a little closer at all those positive publications, there was a common denominator: the researchers, on the whole, worked for radium firms. As radium was such a rare and mysterious element, its commercial exploiters in fact controlled, to an almost monopolizing extent, its image and most of the knowledge about it. Many firms had their own radium-themed journals, which were distributed free to doctors, all full of optimistic research. The firms that profited from radium medicine were the primary producers and publishers of the positive literature.

As the Berkeley researcher Nick Weaver had warned, and as cryptocurrency users around the world were finally learning, “The blockchain is forever.

Research is formalized curiosity. It is poking and prying with a purpose.

It’s hard to convince people that the design, UX, and brand are the cake, but technology is the oven. Electricity is expensive.

originated at the California research institute SRI International and was purchased by Apple in 2010, listened to what iPhone users were saying to it, tried to identify what they wanted,

This raises the interesting, if seemingly outlandish, question of why car drivers, virtually alone among users of wheeled transport, do not wear helmets. Yes, cars do provide a nice metal cocoon with inflatable cushions. But in Australia, for example, head injuries among car occupants, according to research by the Federal Office of Road Safety, make up half the country’s traffic-injury costs. Helmets, cheaper and more reliable than side-impact air bags, would reduce injuries and cut fatalities by some 25 percent.95 A crazy idea, perhaps, but so were air bags once.

The name UNIX began as a pun: because early versions of the operating system supported only one user—Ken Thompson—Peter Neumann, a security researcher at Stanford Research International, joked that it was an “emasculated Multics,” or “UNICS.” The spelling was eventually changed to UNIX.

I consider it an error in scientific communication that, most of the time, merely the polished and flawless results of natural research are displayed, as in an art show. And exhibit of the finished product alone has many drawbacks and dangers for both its creator and its users. The creator of the product will be only too ready to demonstrate perfection and flawlessness while concealing gaps, uncertainties and discordant contradictions of his insight into nature. He thus belittles the meaning of the real process of natural research. The user of the product will not appreciate the rigorous demands made on the natural scientist when the latter has to reveal and describe the secrets of nature in a practical way. He will never learn to think for himself and to cope by himself. Very few drivers have an accurate idea of the sum of human efforts, of the complicated thought processes and operations needed for manufacturing an automobile. Our world would be better off is the beneficiaries of work knew more about the process of work and the existence of the workers, if they did not pluck so thoughtlessly the fruits of labor performed by others.

In particular, a great deal of recent research suggests that the more that people’s reward systems are tuned to forming social connections with others, the more likely they are to be both more physically healthy and more psychologically well balanced. This is what makes internet pornography addiction so troubling. It represents a tuning of the reward system from a very healthy type of reward, that of forming a genuine and intimate connection with another, into a type of reward that removes the user from social contact, and often leaves them feeling lonely and ashamed rather than connected and supported.

Wherever forest can develop in a species-appropriate manner, they offer particularly beneficial functions that are legally placed above lumber production in many forest laws. I am talking about respite and recovery. Current discussions between environmental groups and forest users, together with the first encouraging results-such as the forest in Konigsdorf-give hope that in the future forests will continue to live out their hidden lives, and our descendants will still have the opportunity to walk through the trees in wonder. This what this ecosystem achieves: the fullness of life with tens of thousands of species interwoven and interdependent. And just how important this interconnected global network of forests is to other areas of Nature is made clear by this little story from Japan. Katsuhiko Matsunaga, a marine chemist at the Hokkaido University, discovered that leaves falling into streams and rivers leach acids into the ocean that stimulate growth of plankton, the first and most important building block in the food chain. More fish because of the forest? The researcher encouraged the planting of more trees in coastal areas, which did, in fact, lead to higher yields for fisheries and oyster growers.

Companies say they value great design. But they assume that to do great design they need a rock star designer. But great design doesn’t live inside designers. It lives inside your users’ heads. You get inside your users heads by doing good UX research: research that provides actionable and testable insights into users’ needs.

Marijuana users generally start smoking between 14 and 19; first-time psychotic breaks most often occur from 19 to 24 for men, 21 to 27 for women. In other words, almost no one develops a permanent psychotic illness the first time he uses marijuana—or even after a few months. The gap between when people start smoking and when they break averages six years, according to a 2016 paper in the Australian & New Zealand Journal of Psychiatry that examined previous research. The Finnish paper showing that almost half of cannabis psychosis diagnoses convert to schizophrenia within eight years is more evidence of the time lag. A problem that seems temporary becomes permanent.

We saw a blatant example of this abuse in mid-2014 when a study published by researchers at Facebook and Cornell University revealed that social networks can manipulate the emotions of their users simply by algorithmically altering what they see in the news feed. In a study published by the National Academy of Sciences, Facebook changed the update feeds of 700,000 of its users to show them either more sad or more happy news. The result? Users seeing more negative news felt worse and posted more negative things, the converse being true for those seeing the more happy news. The study’s conclusion: “Emotional states can be transferred to others via emotional contagion, leading people to experience the same emotions without their awareness.

The latest research on substance use disorder from Harvard Medical School shows it takes the typical opioid-addicted user eight years—and four to five treatment attempts—to achieve remission for just a single year. And yet only about 10 percent of the addicted population manages to get access to care and treatment for a disease that has roughly the same incidence rate as diabetes.

Whatever the evolutionary precursors of drug use are, a permanently “drug-free” human culture has yet to be discovered. Like music, language, art, and tool use, the pursuit of altered states of consciousness is a human universal. With access to few alternatives, Siberian shamans imbibe reindeer and human urine to maximize the psychedelic yield of Amanita muscaria mushrooms (the metabolite that is excreted may be stronger than the substance initially ingested); on nearly the opposite side of the world, New Zealanders party with untested “research chemicals” synthesized by Chinese chemists. Drug use spans time and culture. It is a rare human who has never taken a drug to alter her mood; statistically, it is non-users who are abnormal. Indeed, today, around two thirds of Americans over 12 have had at least one drink in the last year, and 1 in 5 are current smokers. (In the 1940s and ’50s, a whopping 67% of men smoked.) Among people ages 21 to 25, 60% have taken an illegal drug at least once—overwhelmingly marijuana—and 20% have taken one in the past month. Moreover, around half of us could suffer from physical withdrawal symptoms if denied our daily coffee. While Americans are relatively prodigious drug users—topping the charts in the use of many substances—we are far from alone in our psychoactive predilections.

Humans are supposedly able to get at the “content” of utterances, being genuine language-users, while apes are not. But ape-language research clearly shows that there is some kind of in-between world, where a certain degree of content can be retrieved by a being with reduced mental capacity. If mental capacity is equated with potential processing depth, then it is obvious why it makes no sense to draw an arbitrary boundary line between the form and the content of a sentence. Form blurs into content as processing depth increases.

It caused my opposition to any ideologies—Marxist, Fascist, National Socialist, what you will—because they were incompatible with science in the rational sense of critical analysis. I again refer back to Max Weber as the great thinker who brought that problem to my attention; and I still maintain today that nobody who is an ideologist can be a competent social scientist." It is extremely difficult to engage in a critical discussion of National Socialist ideas, as I found out when I gave my semester course on “Hitler and the Germans” in 1964 in Munich, because in National Socialist and related documents we are still further below the level on which rational argument is possible than in the case of Hegel and Marx. In order to deal with rhetoric of this type, one must first develop a philosophy of language, going into the problems of symbolization on the basis of the philosophers’ experience of humanity and of the perversion of such symbols on the vulgarian level by people who are utterly unable to read a philosopher’s work. A person on this level—which I characterize as the vulgarian and, so far as it becomes socially relevant, as the ochlocratic level—again, is not admissible to the position of a partner in discussion but can only be an object of scientific research. Because of this attitude I have been called every conceivable name by partisans of this or that ideology. I have in my files documents labeling me a Communist, a Fascist, a National Socialist, an old liberal, a new liberal, a Jew, a Catholic, a Protestant, a Platonist, a neo-Augustinian, a Thomist, and of course a Hegelian—not to forget that I was supposedly strongly influenced by Huey Long. This list I consider of some importance, because the various characterizations of course always name the pet bête noire of the respective critic and give, therefore, a very good picture of the intellectual destruction and corruption that characterize the contemporary academic world. Understandably, I have never answered such criticisms; critics of this type can become objects of inquiry, but they cannot be partners in a discussion. Anybody with an informed and reflective mind who lives in the twentieth century since the end of the First World War, as I did, finds himself hemmed in, if not oppressed, from all sides by a flood of ideological language—meaning thereby language symbols that pretend to be concepts but in fact are unanalyzed topoi or topics. Moreover, anybody who is exposed to this dominant climate of opinion has to cope with the problem that language is a social phenomenon. He cannot deal with the users of ideological language as partners in a discussion, but he has to make them the object of investigation. There is no community of language with the representatives of the dominant ideologies.

Three researchers at Stanford University noticed the same thing about the undergraduates they were teaching, and they decided to study it. First, they noticed that while all the students seemed to use digital devices incessantly, not all students did. True to stereotype, some kids were zombified, hyperdigital users. But some kids used their devices in a low-key fashion: not all the time, and not with two dozen windows open simultaneously. The researchers called the first category of students Heavy Media Multitaskers. Their less frantic colleagues were called Light Media Multitaskers. If you asked heavy users to concentrate on a problem while simultaneously giving them lots of distractions, the researchers wondered, how good was their ability to maintain focus? The hypothesis: Compared to light users, the heavy users would be faster and more accurate at switching from one task to another, because they were already so used to switching between browser windows and projects and media inputs. The hypothesis was wrong. In every attentional test the researchers threw at these students, the heavy users did consistently worse than the light users. Sometimes dramatically worse. They weren’t as good at filtering out irrelevant information. They couldn’t organize their memories as well. And they did worse on every task-switching experiment. Psychologist Eyal Ophir, an author of the study, said of the heavy users: “They couldn’t help thinking about the task they weren’t doing. The high multitaskers are always drawing from all the information in front of them. They can’t keep things separate in their minds.” This is just the latest illustration of the fact that the brain cannot multitask. Even if you are a Stanford student in the heart of Silicon Valley.

the data we see in this chapter shows racism isn’t a problem of outliers. It is pervasive. We’ve seen the same patterns repeated on three different sites, with different users and different experiences: men, women, free, subscription-only, casual, serious, “urban” demographics, and more “mainstream.” All told, the research set represents a large chunk of the young adults in this country, and the data uniformly shows non-blacks discount African American profiles. It’s not a problem caused by a small cluster of “ugly” black users or by a small group of unreformed racists throwing off an otherwise regular pattern.

0.1 second: This is the limit for perception of cause-and-effect between events. If software waits longer than 0.1 second to show a response to your action, cause-and-effect is broken: the software’s reaction will not seem to be a result of your action. Therefore, on-screen buttons have 0.1 second to show they’ve been clicked; otherwise users will click again. If an object the user is “dragging” lags more than 0.1 second behind the cursor, users will have trouble placing it. This 0.1-second deadline is what HCI researcher Stuart Card calls the perceptual “moment.” It is also close to the limit for perception of smooth animation: 0.063 second/frame (16 frames/second)

An amusing, if somewhat apocryphal, example of this comes from comic books: in an attempt to give Superman fans what they wanted, a focus group of comics consumers (10- to 12-year-old boys) was asked what kinds of figures they admired. Their replies were interpreted literally, and for a while in the 1960s, Superman did whatever the focus groups decided, leading to a string of surreal stories of the Man of Steel working as a police chief, dressing up as an Indian, or meeting George Washington (and to Jimmy Olsen, a meek supporting character, turning into a giant space turtle). It led to a kind of creative bankruptcy and an impossibly convoluted storyline that had to be eventually scrapped entirely, the comic starting over as if none of those stories had happened.

For many, Facebook is less about looking up friends than it is about looking at friends. Research tells us that, on average, Facebook users spend more time examining others’ pages than adding content to their own. The site’s most frequent visitors—most often females who post and share photos and who receive status updates—use the site for “social surveillance.” These social investigators usually aren’t getting in touch or staying in touch with friends as much as they are checking up on them. And my clients are right: Judging and evaluating are involved. In one study, nearly four hundred participants examined mock-up Facebook pages and rated web-page owners for attractiveness, only to decide that the best-looking owners were the ones with the best-looking friends.

With drug use related harms, explanatory models are often presented as predictive tools, even though they ‘are [rarely if ever] predictive of consequent behavior’ or outcomes. Hence, we feel confident in asserting at outset, that prohibition based approaches in drug policy lack a sound basis in empirical research (despite sounding logical, i.e. remove drugs or the means of their production and less drugs will be available to users, thus minimising or eliminating harm), and are not animated by well-defined goals, goals that are not only consistent with the ethical and humanitarian aims of public health policy in general, but also with the fundamental principles of democracy) such as empowering or enabling those best placed to act, but by beliefs, assumptions, hypotheses and expectations.

studies show that having phones even nearby and face down on silent mode is still distracting. The title of one recent paper by researchers at the University of Texas and UC San Diego said it all: “The Mere Presence of One’s Own Smartphone Reduces Available Cognitive Capacity.” Their study of nearly 800 smartphone users found that those who were told to place their phones in another room performed better on a test of attention than did those allowed to keep the phones by their side. When I spoke with my teenage son about the study mentioned above, he wasn’t surprised by the findings. He said, “Pops, its FOMO” (fear of missing out). Even when not directly holding a phone or gazing at the screen, there is a fear of missing out, so the siren call from the phone still tugs at one’s attention.

Entrepreneurship itself is an emergent system, where companies create the conditions for experimentation and learning to occur, often symbiotically with customers. In 1978, Eric von Hippel (my PhD advisor at MIT) pioneered the notion of user-driven innovation.10, 11 Back then, the conventional wisdom was that innovation only came from corporate, government, and university research-and-development labs. While some still believe this today, Eric's insight proved to be prescient in many areas, especially in the information age, as the widespread adoption of open-source software and Lean Startup methodologies have demonstrated.12 Twitter is a tangible example since three of the platform's most popular features—the @ reply, the # hashtag indexing, and retweet sharing—were all generated bottom-up by users.

Metrics, and especially averages, encourage you to focus on the middle of a market, but innovation happens at the extremes. You are more likely to come up with a good idea focusing on one outlier than on ten average users. We were discussing this recently in a meeting when a round of sandwiches arrived. ‘This proves my point exactly,’ I said, pointing at the food. The sandwich was not invented by an average eater. The Earl of Sandwich was an obsessive gambler, and demanded food in a form that would not require him to leave the card table while he ate. Weird consumers drive more innovation than normal ones. By contrast, it is perfectly possible that conventional market research has, over the past fifty years, killed more good ideas than it has spawned, by obsessing with a false idea of representativeness.

There are two main types of devices: those that deliver whole-body vibration (WBV) and those that deliver low-force or low-intensity vibration (LIV). Two companies make the low-intensity vibration machines: Juvent and Marodyne. Both products are based on Dr. Clinton Rubin’s research. The LIV Tablet and the Juvent both impart what feels like a comfortable hum when you stand on them. By contrast, most WBV machines subject the user to an intense shaking. I worked with a master trainer using one such machine, the Powerplate. There was no question that my muscle tone built up quickly, but I never felt right about the intensity. My concern is that over time older adults could end up with conditions such as detached retinas, eye floaters, or even joint damage. For now I would steer clear of the WBV devices. I own a Juvent.

We like to think of ourselves as immune from influence or our cognitive biases, because we want to feel like we are in control, but industries like alcohol, tobacco, fast food, and gaming all know we are creatures that are subject to cognitive and emotional vulnerabilities. And tech has caught on to this with its research into “user experience,” “gamification,” “growth hacking,” and “engagement” by activating ludic loops and reinforcement schedules in the same way slot machines do. So far, this gamification has been contained to social media and digital platforms, but what will happen as we further integrate our lives with networked information architectures designed to exploit evolutionary flaws in our cognition? Do we really want to live in a “gamified” environment that engineers our obsessions and plays with our lives as if we are inside its game?

As World War II was ending, the great engineer and public official Vannevar Bush argued that America’s innovation engine would require a three-way partnership of government, business, and academia. He was uniquely qualified to envision that triangle, because he had a foot in all three camps. He had been dean of engineering at MIT, a founder of Raytheon, and the chief government science administrator overseeing, among other projects, the building of the atom bomb.4 Bush’s recommendation was that government should not build big research labs of its own, as it had done with the atomic bomb project, but instead should fund research at universities and corporate labs. This government-business-university partnership produced the great innovations that propelled the U.S. economy in the postwar period, including transistors, microchips, computers, graphical user interfaces, GPS, lasers, the internet, and search engines.

Most computer users by the end of the century made regular use of the Internet, a vast web of worldwide computer networks born in the late 1960s in the work done by the U.S. Department of Defense’s Advanced Research Projects Agency (DARPA) and universities it commissioned. Its founders had needed to share information with researchers working on government contracts at various universities. Once computer users at these well-funded institutions realized the possibilities of an electronic network connecting them with colleagues worldwide, word of the wonder spread and the Internet blossomed. By the late 1980s, anyone with a computer equipped with a modem hooked up to a regular telephone line could send an “E-mail” message or any other electronic document to anyone similarly equipped anywhere in the world - instantaneously. By 1994, the number of people connected to the World Wide Web of computer networks had swelled to an estimated 15 million.

The Xerox Corporation’s Palo Alto Research Center, known as Xerox PARC, had been established in 1970 to create a spawning ground for digital ideas. It was safely located, for better and for worse, three thousand miles from the commercial pressures of Xerox corporate headquarters in Connecticut. Among its visionaries was the scientist Alan Kay, who had two great maxims that Jobs embraced: “The best way to predict the future is to invent it” and “People who are serious about software should make their own hardware.” Kay pushed the vision of a small personal computer, dubbed the “Dynabook,” that would be easy enough for children to use. So Xerox PARC’s engineers began to develop user-friendly graphics that could replace all of the command lines and DOS prompts that made computer screens intimidating. The metaphor they came up with was that of a desktop. The screen could have many documents and folders on it, and you could use a mouse to point and click on the one you wanted to use.

Success comes with an inevitable problem: market saturation. New products initially grow just by adding more customers—to grow a network, add more nodes. Eventually this stops working because nearly everyone in the target market has joined the network, and there are not enough potential customers left. From here, the focus has to shift from adding new customers to layering on more services and revenue opportunities with existing ones. eBay had this problem in its early years, and had to figure its way out. My colleague at a16z, Jeff Jordan, experienced this himself, and would often write and speak about his first month as the general manager of eBay’s US business. It was in 2000, and for the first time ever, eBay’s US business failed to grow on a month-over-month basis. This was critical for eBay because nearly all the revenue and profit for the company came from the US unit—without growth in the United States, the entire business would stagnate. Something had to be done quickly. It’s tempting to just optimize the core business. After all, increasing a big revenue base even a little bit often looks more appealing than starting at zero. Bolder bets are risky. Yet because of the dynamics of market saturation, a product’s growth tends to slow down and not speed up. There’s no way around maintaining a high growth rate besides continuing to innovate. Jeff shared what the team did to find the next phase of growth for the company: eBay.com at the time enabled the community to buy and sell solely through online auctions. But auctions intimidated many prospective users who expressed preference for the ease and simplicity of fixed price formats. Interestingly, our research suggested that our online auction users were biased towards men, who relished the competitive aspect of the auction. So the first major innovation we pursued was to implement the (revolutionary!) concept of offering items for a fixed price on ebay.com, which we termed “buy-it-now.” Buy-it-now was surprisingly controversial to many in both the eBay community and in eBay headquarters. But we swallowed hard, took the risk and launched the feature . . . and it paid off big. These days, the buy-it-now format represents over $40 billion of annual Gross Merchandise Volume for eBay, 62% of their total.65

According to research done by Cimigo, on average internet users in Vietnam spend about 2 hours online everyday.

Even though everyone on the team is presumably working toward the same goal, often how to accomplish that goal can become a battlefield of differing opinions, each informed by the professional experience and expertise of their owners.

Chinese and American companies have already kick-started this process, leaping out to massive leads over the rest of the world. Canada, the United Kingdom, France, and a few other countries play host to top-notch talent and research labs, but they often lack the other ingredients needed to become true AI superpowers: a large base of users and a vibrant entrepreneurial and venture-capital ecosystem. Other than London’s DeepMind, we have yet to see groundbreaking AI companies emerge from these countries. All of the seven AI giants and an overwhelming portion of the best AI engineers are already concentrated in the United States and China. They are building huge stores of data that are feeding into a variety of different product verticals, such as self-driving cars, language translation, autonomous drones, facial recognition, natural-language processing, and much more. The more data these companies accumulate, the harder it will be for companies in any other countries to ever compete.

An important milestone in the history of web design has been the birth of MySpace and Facebook and the advent of social networks, at the beginning of the 21st century. The websites began to adapt to this new level of interactivity, and companies finally understood the importance of placing their users at the centre of the web experience. If, up until that moment, designers and coders used to create aesthetically pleasing interfaces based merely on their clients’ requests, they then started moving to a more user-centric approach. Web research began to focus more and more on the study of websites usability, navigation fluidity and on the easiness of interaction.

Free” has an incredible power that no other pricing does. The Duke behavioral economist Dan Ariely wrote about the power of free in his excellent book Predictably Irrational, describing an experiment in which he offered research subjects the choice of a Lindt chocolate truffle for 15 cents or a Hershey’s Kiss for a mere penny. Nearly three-fourths of the subjects chose the premium truffle rather than the humble Kiss. But when Ariely changed the pricing so that the truffle cost 14 cents and the Kiss was free—the same price differential—more than two-thirds of the subjects chose the inferior (but free) Kisses. The incredible power of free makes it a valuable tool for distribution and virality. It also plays an important role in jump-starting network effects by helping a product achieve the critical mass of users that is required for those effects to kick in. At LinkedIn, we knew that our basic accounts had to be free if we wanted to get to the million users we theorized represented critical mass. Sometimes you can offer a product for free and still be profitable; in the advertising-driven business model, a large enough mass of free users can be valuable even if they never pay for your service. Facebook, for example, doesn’t charge its users a dime, but it is able to generate large amounts of high-gross-margin revenue by selling targeted advertising. But sometimes a product doesn’t lend itself to the advertising model, as is the case with many services used by students and educators. Without third-party revenue, the problem with offering your product to users for free is that you can’t offset your lack of sales by “making it up in volume.

The first two things are to understand the user needs and the business goals. The third is to have a process which helps you in planning, researching, designing and developing the product.

In June 2011, this message appeared on the Interaction Designers Association (IXDA) discussion list: I am at a point in my life where I know I want to do UX design after doing Web design for so long and then reading about usability testing, etc., 6 years ago. But my issue is I’m tired of working for orgs who say they care about their customer but don’t do testing to even know what their customers want from them... I’m kind of fed up with working for people who don’t get it.

super stimulants to numb the NAC for different people, recovery times will also vary from person to person.  According to my research, it can be anywhere from two weeks to two years. I chose 40 days for a NAC reset experiment because a two year recovery was for long term drug users, and most sources said six to eight weeks will give time for ample recovery of the NAC’s dopamine receptors.

VR is not as new as it seems: It germinated inside Alan Kay’s research lab at Atari. The lab collapsed when Atari did, scattering Kay’s people across the Valley, but a young, dreadlocked, programming prodigy, Jaron Lanier, continued the research on his own dime. His original goal was to revive an old dream. Like Doug Engelbart and Alan Kay, Lanier wanted to create a computing environment that was immersive, flexible, and empowering. The difference was the interface. Engelbart invented the mouse. Alan Kay added the desktop metaphor. And in Lanier’s iteration, one donned goggles and gloves and stepped into virtual reality. Lanier actually coined the phrase. And the whole point of this new, all-enveloping interface was to be able to program the computer from the inside. There was just one problem: Once people got inside the computer, virtually no one wanted to code. There was a whole world in there, a cyberdelic Disneyland just waiting to be explored. Lanier thought he was building a next-generation programming language with the corresponding next-generation graphical user interface, but what people experienced was something a lot more fun. VR was The Well’s cyberspace made real. Taking advantage of the ensuing limelight, Lanier swiftly assumed a more Jobs-like role and marketed the heck out of his virtual reality machine, but in the end, the cost of an E ticket was just too high.

six degrees of the mathematician Paul Erdös, himself a pioneer of network theory, as we have seen.13 Recent research suggests the number is now closer to five than six, which suggests that technological change since the 1970s has perhaps been less transformative than is commonly supposed.14 For the directors of Fortune 1000 companies, however, it is 4.6.15 For Facebook users it was 3.74 in 2012,16 and just 3.57 in 2016.

We are home to a very proactive and energetic team who strives to solve user queries as soon as possible. They will also help you to know about latest market trends and practices. Visit more - Research Beam

UX designers have to constantly learn about human psychology, interaction design, information architecture and user research techniques, just to name a few, in order to create the right solutions to a user’s problems.

editor and edited my first book in a wonderful way. For this book, however, time devoted to bringing up the children made a renewed editorial collaboration impossible. I hope the reader will not suffer unduly as a consequence! My children Christiana Dagmar and Eric James have watched me work on the book—indeed they could not avoid it as I often write at home. I hope they have been drawing the lesson that academic research can be really fun. Certainly, that is the lesson I drew from my father, Arthur von Hippel. He wrote his books in his study upstairs when I was a child and would often come down to the kitchen for a cup of coffee. In transit, he would throw up his hands and say, to no one in particular, “Why do I choose to work on such difficult problems?” And then he would look deeply happy. Dad, I noticed the smile! Finally my warmest thanks to my MIT colleagues and students and also to MIT as an institution. MIT is a really inspiring place to work and learn from others. We all understand the requirements for good research and learning, and we all strive to contribute to a very supportive academic environment. And, of course, new people are always showing up with new and interesting ideas, so fun and learning are always being renewed! Democratizing Innovation 1  Introduction and Overview When I say that innovation is being democratized, I mean that users of products and services—both firms and individual consumers—are increasingly able to innovate for themselves. User-centered innovation processes offer great advantages over the manufacturer-centric innovation development systems that have been the mainstay of commerce for hundreds of years. Users that innovate can develop exactly what they want, rather than relying on manufacturers to act as their (often very imperfect) agents. Moreover, individual

Then there is Roman engineering: the Roman roads, aqueducts, the Colosseum. Warfare, alas, has always been beneficial to engineering. Yet there are unmistakeable trends in the engineering of the gamgster states. In a healthy society, engineering design gets smarter and smarter; in gangster states, it gets bigger and bigger. In World War II, the democracies produced radar and split the atom; German basic research was far behind in these fields and devoted its efforts to projects like lenses so bog they could burn Britain, and bells so big that their sound would be lethal. (The lenses never got off the drawing board, and the bells, by the end of the war, would kill mice in a bath tub.) Roman engineering, too, was void of all subtlety. Roman roads ran absolutely straight; when they came to a mountain, they ran over the top of the mountain as pigheadedly as one of Stalin's frontal assaults. Greek soldiers used to adapt their camps to the terrain; but the Roman army, at the end of a days' march, would invariably set up exactly the same camp, no matter whether in the Alps or in Egypt. If the terrain did not correspond to the one and only model decreed by the military bureaucracy, so much the worse for the terrain; it was dug up until it fitted inti the Roman Empire. The Roman aqueducts were bigger than those that had been used centuries earlier in the ancient world; but they were administered with extremely poor knowledge of hydraulics. Long after Heron of Alexandria (1st Century A.D.) had designed water clocks, water turbines and two-cylinder water pumps, and had written works on these subjects, the Romans were still describing the performance of their aqueducts in terms of the quinaria, a measure of the cross-section of the flow, as if the volume of the flow did not also depend on its velocity. The same unit was used in charging users of large pipes tapping the aqueduct; the Roman engineers failed to realize that doubling the cross-section would more than double the flow of water. Heron could never have blundered like this.

Addiction is a human problem that resides in people, not in the drug or in the drug’s capacity to produce physical effects,” writes Lance Dodes, a psychiatrist at the Harvard Medical School Division on Addictions. It is true that some people will become hooked on substances after only a few times of using, with potentially tragic consequences, but to understand why, we have to know what about those individuals makes them vulnerable to addiction. Mere exposure to a stimulant or narcotic or to any other mood-altering chemical does not make a person susceptible. If she becomes an addict, it’s because she’s already at risk. Heroin is considered to be a highly addictive drug — and it is, but only for a small minority of people, as the following example illustrates. It’s well known that many American soldiers serving in the Vietnam War in the late 1960s and early 1970s were regular users. Along with heroin, most of these soldier addicts also used barbiturates or amphetamines or both. According to a study published in the Archives of General Psychiatry in 1975, 20 per cent of the returning enlisted men met the criteria for the diagnosis of addiction while they were in Southeast Asia, whereas before they were shipped overseas fewer than 1 per cent had been opiate addicts. The researchers were astonished to find that “after Vietnam, use of particular drugs and combinations of drugs decreased to near or even below preservice levels.” The remission rate was 95 per cent, “unheard of among narcotics addicts treated in the U.S.” “The high rates of narcotic use and addiction there were truly unlike anything prior in the American experience,” the researchers concluded. “Equally dramatic was the surprisingly high remission rate after return to the United States.” These results suggested that the addiction did not arise from the heroin itself but from the needs of the men who used the drug. Otherwise, most of them would have remained addicts. As with opiates so, too, with the other commonly abused drugs. Most people who try them, even repeatedly, will not become addicted. According to a U.S. national survey, the highest rate of dependence after any use is for tobacco: 32 per cent of people who used nicotine even once went on to long-term habitual use. For alcohol, marijuana and cocaine the rate is about 15 per cent and for heroin the rate is 23 per cent. Taken together, American and Canadian population surveys indicate that merely having used cocaine a number of times is associated with an addiction risk of less than 10 per cent. This doesn’t prove, of course, that nicotine is “more” addictive than, say, cocaine. We cannot know, since tobacco — unlike cocaine — is legally available, commercially promoted and remains, more or less, a socially tolerated object of addiction. What such statistics do show is that whatever a drug’s physical effects and powers, they cannot be the sole cause of addiction.

He wrote a book, Libraries of the Future, in which he described a world where library resources would be available to remote users through a single database. This was radical thinking in 1960 yet is almost taken for granted today by the billions of people who have the library of the Internet at their fingertips twenty-four hours a day. Computers

Research shows that increased taxes on cigarettes and alcohol minimally influences moderate users, but not heavy drinkers and smokers (the ones who ostensibly need help). Heavy

Usability plays a much wider role in our lives than most people realize. It’s not just about using a website, a piece of software, or the latest technology. Usability is about setting up a tent, relighting a furnace to heat a home, trying to figure out a tax form, or driving an unfamiliar rental car. Usability impacts everyone, every day. It cuts across cultures, age, gender, and economic class.

User research was often outsourced to design agencies who did project-based research.

And while the details of how it is implemented vary somewhat from company to company, the core elements of the method are: the creation of a cross-functional team, or a set of teams that break down the traditional silos of marketing and product development and combine talents; the use of qualitative research and quantitative data analysis to gain deep insights into user behavior and preferences; and the rapid generation and testing of ideas, and the use of rigorous metrics to evaluate—and then act on—those results.

The Gausebeck-Levchin test became the first commercial application of a Completely Automated Public Turing Test to Tell Computers and Humans Apart—or CAPTCHA. Today, CAPTCHA tests are common on the internet—to be online is to be subjected to a search for a specific image—a fire hydrant or bicycle or boat—from a lineup. But at the time, PayPal was the first company to force users to prove their humanity in this fashion. Gausebeck and Levchin didn’t invent the CAPTCHA—Carnegie Mellon researchers devised something similar in 1999—but the PayPal version was the first to scale, and among the first to solve the centuries-old challenge of separating human from machine.

Product management is a career, not just a role you play on a team. The product manager deeply understands both the business and the customer to identify the right opportunities to produce value. They are responsible for synthesizing multiple pieces of data, including user analytics, customer feedback, market research, and stakeholder opinions, and then determining in which direction the team should move. They keep the team focused on the why — why are we building this product, and what outcome will it produce?

Users almost always prefer a simple product with fewer features executed extremely well over a feature-bloated product with a lot of capabilities that are executed only marginally well.

Steve Krug Don’t Make Me Think Steven Portigal Interviewing Users Laura Klein UX for Lean Startups: Faster, Smarter User Experience Research and Design Don Norman Design of Everyday Things Erika Hall Just Enough Research

Leah Buley The User Experience Team of One: A Research and Design Survival Guide William Albert and Thomas Tullis Measuring the User Experience: Collecting, Analyzing, and Presenting Usability Metrics Braden Kowitz, et.al. Sprint: How to Solve Big Problems and Test New Ideas in Just Five Days Dana Chisnell and Jeffrey Rubin Handbook of Usability Testing: How to Plan, Design and Conduct Effective Test

the truth is that getting rid of the generic masculine would only be half the battle: male bias is so firmly embedded in our psyche that even genuinely gender-neutral words are read as male. A 2015 study identified the top five words used to refer to people in human-computer interaction papers published in 2014 and found that they are all apparently gender neutral: user, participant, person, designer and researcher.39 Well done, human-computer interaction academics! But there is (of course) a catch. When study participants were instructed to think about one of these words for ten seconds and then draw an image of it, it turned out that these apparently gender-neutral words were not perceived as equally likely to be male or female. For male participants, only ‘designer’ was interpreted as male less than 80% of the time (it was still almost 70% male). A researcher was more likely to be depicted as of no gender than as a female. Women were slightly less gender-biased, but on the whole were still more likely to read gender-neutral words as male, with only ‘person’ and ‘participant’ (both read by about 80% of male participants as male) being about 50/50.

While the exact ratio does depend on which machine you use and how you use it (whether you work out or just stand on the plate), forty years of research and the devotion of thousands of professional athletes and elite users, including Shaquille O’Neil, Jane Fonda, Madonna, the Denver Broncos, and the Tennessee Titans, attest to WBV’s effectiveness.

The ideas behind Bitcoin and blockchain technology give us a new starting point from which to address this problem. That’s because the question of who controls our data should stem first from a more fundamental question about who or what institutions we must trust in order to engage in commerce, obtain services, or participate in modern society. We see compelling arguments for a complete restructuring of the world’s data security paradigm. And it starts with thinking about how Internet users can start to directly trust each other, so as to avoid having to pour so much information into the centralized hubs that currently sit in the middle of their online relationships. Solving data security may first require a deliberate move from what we call the centralized trust model to one of decentralized trust. In an age when technology is supposed to be lowering the cost of entry, the outdated centralized trust-management system has proven expensive and restrictive (think about the 2 billion people in the world who are unbanked). It has also failed—spectacularly. Even though the world spent an estimated $75 billion on cybersecurity in 2015, according to estimates by Gartner, total annual losses from online fraud theft were running at $400 billion that year, said Inga Beale, CEO of British insurance market Lloyd’s of London. If you’re alarmed by that figure—and you ought to be—try this one on for size: $2.1 trillion. That’s the estimated fraud loss Juniper Research came up with after extrapolating from current trends into the even more digitally interconnected world projected for 2019. To put that figure in perspective, at current economic growth rates, it would represent more than 2.5 percent of total world GDP.

Social Media Advertising - Different Options & Their Benefits How To Use Social Media Paid Ads Ideally? What is the most effective way to make use of social media ads? Choosing which social media platform to advertise on depends on your target audience. You need to understand which platforms are being used, the type of campaigns that can run on each platform, and what investment you’ll be required to make. Pew Research Center’s report helps give us an idea of the most preferred platform for various demographics. For example, if your product caters to the teenage group, consider advertising on Instagram, TikTok, or Snapchat. If you’re catering to a more B2B client, you can consider LinkedIn. Once you understand where your audience spends the most time, you can narrow down the platforms. However, we’d still advise on A/B testing various platforms. You’d be surprised by how many B2B clients you can find on TikTok! What Are The Most Popular Social Media Ads? Here is a brief rundown of the various social media ad options available. 1. Facebook Ads Facebook Ads are the most successful form of social media advertising. Statistics show that Facebook paid ads have an average conversion rate of 9.21%. They’re easy to set up and track, and allow you to measure campaign performance easily, giving insights into how well your ads are performing. They also offer a wide range of targeting options that help you reach people who might be interested in what you’re selling, which is why they’re so effective at generating sales leads. Facebook Ads are also highly targeted. You can target specific demographics or audiences based on gender, age range, location, and other details such as interests and behaviors or job titles. This helps ensure that only people who are interested in what you’re offering, see your ad on Facebook. 2. Twitter Ads Twitter ads are a great way to reach your target audience, especially if your company already has a presence on the platform. They’re easy to set up and manage so you can focus on other aspects of your business. As of 2022, they have an average conversion rate of 0.77%. Twitter ads also offer simple targeting options that let you get more followers, increase engagement with existing customers and gain new followers interested in what you have to offer. There are multiple ad options to choose from for accomplishing various advertising goals, including promoted ads, follower ads, amplify ads, and takeover ads. Promoted and follower ads have a much wider average cost range than their takeover counterparts. 3. LinkedIn Ads LinkedIn is a professional networking site, so it’s not as casual as other social media platforms like Instagram and Facebook. As a result, users are more likely to be interested in what you are promoting on the platform because they’re looking for something related to their professional lives. LinkedIn has an average click-through rate of 0.65%. In addition, the conversion rate for LinkedIn ads is also fairly decent (2.35%). They can have high or low conversion rates depending on factors like interests and demographics. But if your ad is effectively targeted, it will have more chances of enjoying a higher conversion rate. 4. Instagram Ads As a younger demographic, Instagram users make up a great target audience for social media advertising. They are highly engaged in the platform and are more likely to respond to call-to-action than other demographics. 5. YouTube Ads YouTube ads are excellent for marketers with video content to promote their business. Furthermore, the advertising options offered by this platform ensure that you needn't bother with YouTuber fame or even a large number of subscribers on your channel to spread the word on this platform.

By using User in the Loop, where you as the User literally become part of the programming yourself, you never really know where the edges of the entities are. You cannot tell where the script ends, and the recombi-natorials begin.

After studying all the hidden data - the stuff that Facebook doesn't release to the public - the company's scientists reached a definite conclusion. They wrote: 'Our algorithms exploit the human brain's attraction to divisiveness,' and 'if left unchecked,' the site would continue to pump its users with 'more and more divisive content in an effort to gain user attention and increase time on the platform.' A separate internal Facebook team ...independently reached the same conclusions. They found that 64 percent of all the people joining extremist groups were finding their way to them because Facebook's algorithms were directly recommending them. This meant that across the world, people were seeing in their Facebook feeds racist, fascist and even Nazi groups next to the words: 'Groups You Should Join.' They warned that in Germany one-third of all the political groups on the site were extremist. Facebook's own team was blunt, concluding: 'Our recommendation systems grow the problem.' After carefully analysing all the options, Facebook's scientists concluded there was one solution: they said Facebook would have to abandon its current business model. Because their growth was so tied up with toxic outcomes, the company should abandon attempts at growth. The only way out was for the company to adopt a strategy that was 'anti-growth' - deliberately shrink, and choose to be a less wealthy company that wasn't wrecking the world. Once Facebook was shown - in plain language, by their own people - what they were doing, how did the company's executives respond? According to the Journal's in-depth reporting, they mocked the research, calling it an 'Eat Your Veggies' approach. They introduced some minor tweaks, but dismissed most of the recommendations.

Among them was a 2019 presentation by user experience researchers finding that, while causality was hard to establish, Instagram’s aesthetic of casual perfection could trigger negative thinking among some users. The researchers’ best understanding was summarized this way: “We make body image issues worse for one in three teen girls.

In 2020, Instagram’s Well-Being team had run a study of massive scope, surveying 100,000 users in nine countries about negative social comparison on Instagram. The researchers then paired the answers with individualized data on how each user who took the survey had behaved on Instagram, including how and what they posted. They found that, for a sizable minority of users, especially those in Western countries, Instagram was a rough place. Ten percent reported that they “often or always” felt worse about themselves after using the platform, and a quarter believed Instagram made negative comparison worse.

While pulling clean drafts together took thousands of hours of work, the stories had all but revealed themselves. Facebook had allowed human trafficking to take place in the Persian Gulf on its platform as long as it occurred through brick-and-mortar businesses. In trying to improve the platform and boost user numbers, it had actually made the site, and the people who used it, angrier. Mental health researchers had concluded “we make body issues worse” and that Instagram was a toxic place for many teen girls, in particular. We divided up the stories among ourselves. Georgia Wells began interviewing young women who had developed eating disorders or body image issues of the sort that Instagram’s researchers worried their product might aggravate. The story she led would cite company documents that found “comparisons on Instagram can change how young women view and describe themselves,” citing research that found 32 percent of teen girls said that “when they felt bad about their bodies, Instagram made them feel worse.

Teens said—and researchers appeared to accept—that certain features of Instagram could aggravate mental health issues in ways beyond its social media peers. Snapchat had a focus on silly filters and communication with friends, while TikTok was devoted to performance. Instagram, though? It revolved around bodies and lifestyle. The company disowned these findings after they were made public, calling the researchers’ apparent conclusion that Instagram could harm users with preexisting insecurities unreliable.

Affordable SEO Tools: Maximizing Value Ubersuggest: Unleashing Keyword Potential In the realm of affordable SEO tools, Ubersuggest stands out as a powerhouse for keyword research. Its intuitive interface and robust functionality empower users to identify high-performing keywords, assess competition, and refine their content strategy.

We must validate our ideas on real users and customers. One of the most common traps in product is to believe that we can anticipate our customer's actual response to our products. We might be basing that on actual customer research or on our own experiences, but in any case, we know today that we must validate our actual ideas on real users and customers. We need to do this before we spend the time and expense to build an actual product, and not after.

MMO users became so great in number that in 2008, the CIA, the NSA, and DARPA launched a covert data-mining effort, called Project Reynard, to track World of Warcraft subscribers and discern how they exist and interact in virtual worlds. To do so, CIA analysts created their own avatars and entered the virtual world of World of Warcraft.

Researchers in California used the social norms approach to try to get people to reduce their use of electricity. They took readings from the electricity meters at 290 houses twice within a two-week period, in order to get a baseline measure of how much electricity each house was consuming. Then they left a flyer on the doorknob of each house that showed how much electricity that household had been using and the average amount of electricity that their neighbors were using. Think about what this would be like: you come home one day and see the flyer on your doorknob, and read that you are using more electricity than your neighbors. “Whoa,” you might think. “I guess I’m more of an energy hog than I thought.” This probably makes you feel a little embarrassed, and so you stop leaving lights on when you leave a room and maybe even use your air conditioning a little less. This is just what the researchers found: people who discovered that they were above-average electricity users decreased their use of electricity over the next few weeks. But what about the people who found out that they were using less electricity than their neighbors? The feedback had the opposite effect, leading to an increase in power use. “Why should I skimp on the air conditioning,” these folks seemed to say, “when the Joneses and the Smiths are pumping out a lot more cool air than I am?” Thus we see the danger of social norms campaigns: they can backfire among people who find out that they are doing better than average. Perceived norms are a powerful thing. If we think we’re conserving more energy than others, we slack off on our electricity use; if we find out we are drinking less than others, we might down a few more beers at the next party.

American political science research and is meant to cater to basic American positions and stances on the issue. Most users of the language that surrounds the two-state solution as the ideal settlement are probably sincere when employing it. This language has helped Western diplomats and politicians remain ineffective—either out of will or necessity—in the face of continuing Israeli oppression. Expressions and phrases like “a land for two people,” “the peace process,” “the Israel-Palestine conflict,” “the need to stop the violence on both sides,” “negotiations,” or “the two-state solution” come straight out of a contemporary version of Orwell’s 1984.

A study by the National Bureau of Economic Research later found that in the last three months of the election, users shared false content on Facebook thirty-eight million times.

Angela Liberatore, a digital marketing expert, advises that by doing careful keyword research, businesses can find out which words are most important and popular with potential customers. This allows them to write content that matches what users are interested in. Overall, knowing how to use keywords well is crucial for improving online visibility, bringing in more visitors, and reaching marketing goals in today’s competitive online world.

Previously, until a few years ago, it was customary for the Norwegian to be born with skis on his feet. But one of the improvements that has been made is that this is no longer the case*. Modern research has revealed, in fact, that this could be very uncomfortable and, to some extent, dangerous to the mother. *It still happens that the birth takes place with skis on the feet, but now it is most often the mother who has the skis on during the birth.

The worst way to know if people would pay to use a product or if they would use it repeatedly is ask them directly. Humans are very bad at predicting their future behavior. In

One of the goals of a Lean software development process should be the end-to-end integration of the value stream, from user research and strategic planning to data center operations and product support. Or as the Poppendiecks say, “from concept to cash.

Modification of firms' innovation processes to systematically search for and further develop innovations created by lead users can provide manufacturers with a better interface to the innovation process as it actually works, and so provide better performance. A natural experiment conducted at 3M illustrates this possibility. Annual sales of lead user product ideas generated by the average lead user project at 3M were conservatively forecast by management to be more than 8 times the sales forecast for new products developed in the traditional manner-$146 million versus $18 million per year. In addition, lead user projects were found to generate ideas for new product lines, while traditional market-research methods were found to produce ideas for incremental improvements to existing

usually does not present much of a problem. Some analysts use t-tests with ordinal rather than continuous data for the testing variable. This approach is theoretically controversial because the distances among ordinal categories are undefined. This situation is avoided easily by using nonparametric alternatives (discussed later in this chapter). Also, when the grouping variable is not dichotomous, analysts need to make it so in order to perform a t-test. Many statistical software packages allow dichotomous variables to be created from other types of variables, such as by grouping or recoding ordinal or continuous variables. The second assumption is that the variances of the two distributions are equal. This is called homogeneity of variances. The use of pooled variances in the earlier formula is justified only when the variances of the two groups are equal. When variances are unequal (called heterogeneity of variances), revised formulas are used to calculate t-test test statistics and degrees of freedom.7 The difference between homogeneity and heterogeneity is shown graphically in Figure 12.2. Although we needn’t be concerned with the precise differences in these calculation methods, all t-tests first test whether variances are equal in order to know which t-test test statistic is to be used for subsequent hypothesis testing. Thus, every t-test involves a (somewhat tricky) two-step procedure. A common test for the equality of variances is the Levene’s test. The null hypothesis of this test is that variances are equal. Many statistical software programs provide the Levene’s test along with the t-test, so that users know which t-test to use—the t-test for equal variances or that for unequal variances. The Levene’s test is performed first, so that the correct t-test can be chosen. Figure 12.2 Equal and Unequal Variances The term robust is used, generally, to describe the extent to which test conclusions are unaffected by departures from test assumptions. T-tests are relatively robust for (hence, unaffected by) departures from assumptions of homogeneity and normality (see below) when groups are of approximately equal size. When groups are of about equal size, test conclusions about any difference between their means will be unaffected by heterogeneity. The third assumption is that observations are independent. (Quasi-) experimental research designs violate this assumption, as discussed in Chapter 11. The formula for the t-test test statistic, then, is modified to test whether the difference between before and after measurements is zero. This is called a paired t-test, which is discussed later in this chapter. The fourth assumption is that the distributions are normally distributed. Although normality is an important test assumption, a key reason for the popularity of the t-test is that t-test conclusions often are robust against considerable violations of normality assumptions that are not caused by highly skewed distributions. We provide some detail about tests for normality and how to address departures thereof. Remember, when nonnormality cannot be resolved adequately, analysts consider nonparametric alternatives to the t-test, discussed at the end of this chapter. Box 12.1 provides a bit more discussion about the reason for this assumption. A combination of visual inspection and statistical tests is always used to determine the normality of variables. Two tests of normality are the Kolmogorov-Smirnov test (also known as the K-S test) for samples with more than 50 observations and the Shapiro-Wilk test for samples with up to 50 observations. The null hypothesis of

that can also benefit from them. If user innovations are not diffused, multiple users with very similar needs will have to invest to (re)develop very similar innovations, which would be a poor use of resources from the social welfare point of view. Empirical research

The observers — members of Microsoft’s User Research Group — diligently note each click, key press, and hesitation, hoping they’ll learn the answer to the industry’s big secret: why do so many people find computers difficult to use?

In fact, one of the only things harder than building an intuitive, delightful, innovative, easy-to-use product is hiring a designer to do it for you.

The empirical finding that users often freely reveal their innovations has been a major surprise to innovation researchers.

To be a user experience designer means to practice a set of methods and techniques for researching what users want and need, and to design products and services for them. Through good UX, you are trying to reduce the friction between the task someone wants to accomplish and the tool that they are using to complete that task.

Just a simple premise, back in San Diego DUI Lawyer arrested for drunk Style, this time in the direction of DUI and DWI generally unwanted, then little effect of alcohol is considered a leading progressive life. Americans in the second half of the US states, the sin just because the rules and stricter drunk driving laws more quickly hold. In addition, the results of all DUI lawyers in reality very difficult drive under the influence towards an unattainable production, to begin in San Diego that idea. The crime of DUI evaluation Provide always stops short of energy, but in reality because of traffic law enforcement to detect beautiful website, or you attack affects themselves can take to throw noted "checkpoints drinking water.” In some cases, the federal government said, but if you can do it in your own direction. Perhaps many car hit the rear part of the food as a result, the impact is recorded, your visit to show you the direction of your wine. Sometimes, someone reported an unstable support. Testing and observation around the federal government s decision in the same direction, it is not possible because most almost certainly to predict a jump back in their element. One or suspected poisoning at an affordable price set is designed to bring cases, their own rules and objectives, and with violation of traffic rules and the management style of the design more I can do for others the problem of selection that. They probably own the actual direction of their own drug, think about the purpose of the implementation of a user, then the friendly and with respect to speed, self-revealed the reason behind the purple party, appreciate it is also possible to DUI . San Diego right outcome for prison several internal unique opportunity, California expert is passed on to its customers and the code of .08% blood only a small car in California 23 152 (B) to answer good article Content (BAC) Assumption. Some of the inspiration for a special person for a month was necessary direction behind a person s mood, depends on you in the direction 23 § 152, may continue to be withheld because (). But in general, if not more, the sales people and just keep moving to stay DUI by police and they are removed direction or enough I began to feel, "personal involvement" is more than if under strict bail. Own all presentation of their work is to show. It s just maybe you just conditions, it is deposited in jail until eventually show itself may not be able to move allows. Expenses and income are affected by lead you affects costs, which child to leave behind, if not more than 0.08 per cent BAC does. Orientation, under the influence of the value of his research, the car broke into the possibility that some 23 152 have been found still proof (s). This is a normal move, and then the authority to suspend the system 6 is due to the fact that - 10 weeks, including perceived importance. Speaking of the court will have to apply for leave to the invention apparently drunk over in his address. Need him inside, a number of situations, the judge called a good time without alcohol can be. It is a matter, as long as the direction before the costly DUI do not experience a period of several weeks is legal. Worse, if there is only a repeat show that only a lawyer in San Diego drunk orientation. Too many of the legal rights of citizens under such guidelines as privatization and arms, vote. You own run for the benefit of all to make the removal of the time, which likely cost drivers behind the repeat drink. It is strong enough to get to San Diego recommends a good DUI is for that reason that the domestic legal experts. Obviously, the motivation many cases immediately, in simplest terms, is not swallowed. Self re direction is not the same thing, so you really recommended maximum future problem is to apply to yourself. This is a perfect example of the court had been found.

Enterprises that use design thinking and user experience (UX) design strategically to delight customers at each step of their interaction with the organization have thrived: research shows companies which apply UX design in this way experience faster growth and higher revenues.2

Library users tell survey researchers that they want access to more ebooks and they want libraries to offer more technologically up-to-date services.

Research provides a firm grounding for these empirical findings. The two defining characteristics of lead users and the likelihood that they will develop new or modified products have been found to be highly correlated (Morrison et al. 2004). In addition, it has been found that the higher the intensity of lead user characteristics displayed by an innovator, the greater the commercial attractiveness of the innovation that

how is it that almost all research is conducted in the test environment? It would seem to me that we would have some interest in the user environment, especially if there is a substantial difference in the assessment under the two perspectives. We don’t, after all, sell to the world’s testers but to users. It is they who dictate a brand’s success or failure. Actually, I like using both the tester and the user environment when assessing a brand’s potential. I generally prefer to use testers in the upstream research and, as I get closer to market, I use the user perspective. I have found that very few companies use the latter when assessing a brand’s potential. Why? I think that few companies realize that two perspectives exist. Among those who do, many don’t use the users because few field services offer both options, and it is perceived to be difficult and expensive

marketed to what users said they wanted, but market research can’t tell you about solving problems that customers can’t conceive are solvable.

What is happening in “the last mile” (the access networks) caused by the end user’s behavior will have a big impact on the debate of data center sustainability. Research conducted by Bell Labs and the University of Melbourne (CEET 2013) show that by 2015 wireless cloud (Wi-Fi and cellular technology) will consume between 32 TWh (low scenario) and 43 TWh (high scenario) compared to only 9.2 TWh in 2012. An increase between 248% and 367%. The take-up of wireless devices is shown by the fact that global mobile data traffic overall is currently increasing at 78% per annum and mobile cloud traffic specifically is increasing at 95% per annum. Wireless cloud traffic is about 20% of mobile traffic and approximately 35% of data center traffic. The result of this is that wireless access network technologies account for 90% of total wireless cloud energy consumption. Data centers account for only about 9%. The energy consumption of wireless user devices is negligible.

Why It Works: Artificial Advancement Drives Effort Researchers at the USC Marshall School of Business describe the ‘endowed progress effect,’ whereby individuals put greater effort into completing a task they think they have already begun, even if that process is constructed artificially. Through a series of studies, Nunes and Dreze found that the illusion of progress was a powerful motivator – as users felt they’d already started a task, they gained momentum towards completing it.

Nir elaborates in this post: TriggerThe trigger is the actuator of a behavior — the spark plug in the engine. Triggers come in two types: external and internal. Habit-forming technologies start by alerting users with external triggers like an email, a link on a web site, or the app icon on a phone. ActionAfter the trigger comes the intended action. Here, companies leverage two pulleys of human behavior – motivation and ability. This phase of the Hook draws upon the art and science of usability design to ensure that the user acts the way the designer intends. Variable RewardVariable schedules of reward are one of the most powerful tools that companies use to hook users. Research shows that levels of dopamine surge when the brain is expecting a reward. Introducing variability multiplies the effect, creating a frenzied hunting state, activating the parts associated with wanting and desire. Although classic examples include slot machines and lotteries, variable rewards are prevalent in habit-forming technologies as well. InvestmentThe last phase of the Hook is where the user is asked to do bit of work. The investment implies an action that improves the service for the next go-around. Inviting friends, stating preferences, building virtual assets, and learning to use new features are all commitments that improve the service for the user. These investments can be leveraged to make the trigger more engaging, the action easier, and the reward more exciting with every pass through the Hook. We’ve found this model (and the accompanying book) to be a great starting point for a customer acquisition and retention strategy.