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

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.

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.

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.

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.

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.

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

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

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

One simple thing that we might do in the research process is a simple renaming of the user as a reader or interpreter, which emphasizes the interpretive nature of design interactions.

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.

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.

Our algorithms exploit the human brain’s attraction to divisiveness,” the researchers warned in a 2018 presentation later leaked to the Wall Street Journal. In fact, the presentation continued, Facebook’s systems were designed in a way that delivered users “more and more divisive content in an effort to gain user attention & increase time on the platform.

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.

Facebook was long aware that its research, models, and programs sought to optimize user engagement at all costs. Facebook employed a series of “addictive by design” features specifically targeted and tailored to exploiting the vulnerabilities of young users, while hiding the risky and harmful nature of such features. Forcing every lever to drive engagement and drive that addiction.

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.

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)

This isn’t the first time I’ve been told that meth is worse than most other drugs. To learn why, I continue my research, traveling to meet with more researchers who study meth. They explain that drug users often binge and increase their dosages in an attempt to recreate the initial high, but for meth addicts, with the depletion of as much as 90 percent of the brain’s dopamine, it’s no longer possible. As with many drugs, the dopamine deficiency causes depression and anxiety, but it’s often far more severe with meth. This compels the user to take more of the drug, causing more nerve damage, which increases the compulsion to use—a cycle that leads to both addiction and relapse.

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.

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?

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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.

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4. Field Studies This is actually a number of techniques under a broad heading. It’s all about going out and observing users ‘in the wild’ so that we can measure behavior in the context where users actually use a product. Field studies include ethnographic research, interviews, observations, and contextual enquiry.

There are many accepted forms of conducting pre-ship research, but essentially the research will consist of these tasks: Identifying potential users of your app Asking the potential users questions Recording their responses Analyzing these responses

Researchers have found that heavy social media use increases depression risk by 27 percent, and heavy smartphone and tablet users are 35 percent more likely to have suicidal ideation. Far from providing late-night monologue material, our relationship to our devices has life-and-death stakes.

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A still more sobering social media example of a different kind, one so important that it could well have influenced the presidential election of 2016, was the cooperation between Cambridge Analytica and Facebook. Cambridge Analytica, a political data firm, was largely the creation of Steve Bannon and his billionaire sponsor, Robert Mercer. One former co-executive referred to Cambridge Analytica as “Bannon’s arsenal of weaponry to wage a culture war on America using military strategies.” Cambridge Analytica combined a particularly vicious version of traditional “dirty tricks” with cutting-edge social media savvy. The dirty tricks, according to its former CEO, Alexander Nix, included bribery, sting operations, the use of prostitutes, and “honey traps” (usually involving sexual behavior, sometimes even initiated for the purposes of obtaining compromising photographs) to discredit politicians on whom it conducted opposition research. The social media savvy included advanced methods developed by the Psychometrics Centre of Cambridge University. Aleksandr Kogan, a young Russian American psychologist working there, created an app that enabled him to gain access to elaborate private information on more than fifty million Facebook users, information specifically identifying personality traits that influenced behavior. Kogan had strong links to Facebook, which failed to block his harvesting of that massive data; he then passed the data along to Cambridge Analytica. Kogan also taught at the Saint Petersburg State University in Russia; and given the links between Cambridge Analytica and Russian groups, the material was undoubtedly made available to Russian intelligence. So extensive was Cambridge Analytica’s collection of data that Nix could boast, “Today in the United States we have somewhere close to 4 or 5 thousand data points on every individual…. So we model the personality of every adult across the United States, some 230 million people.” Whatever his exaggeration, he was describing a new means of milieu control that was invisible and potentially manipulable in the extreme. Beyond Cambridge Analytica or Kogan, Russian penetration of American social media has come to be recognized as a vast enterprise involving extensive falsification and across-the-board anti-Clinton messages, with special attention given to African American men in order to discourage them from voting. The Russians apparently reached millions of people and surely had a considerable influence on the outcome of the election. More generally, one can say that social media platforms can now create a totality of their own, and can make themselves available to would-be owners of reality by means of massive deception, distortion, and promulgation of falsehoods. The technology itself promotes mystification and becomes central to creating and sustaining cultism. Trump is the first president to have available to him these developments in social media. His stance toward the wild conspiracism I have mentioned is to stop short of total allegiance to them, but at the same time to facilitate them and call them forth in his tweets and harbor their followers at his rallies. All of this suggests not only that Trump and the new social media are made for each other, but also that the problem will long outlive Trump’s brief, but all too long, moment on the historical stage.

From designing meaningful interfaces, to processing your own UX research, information visualization is an indispensable tool in your UX design

The addictive nature of smartphones is further enhanced by a form of behavioral conditioning called intermittent reinforcement and the power of this conditioning was revealed by the research of the 20th century psychologist B.F Skinner. Skinner discovered that if a behavior is rewarded on a variable and unpredictable schedule, the reward is felt as more pleasurable and the conditioned behavior is more resistant to extinction in comparison with a behavior that is rewarded all the time. Mobile app developers use this behavioural conditioning to promote the use of their applications. Rather than exposing their users to stimulating novel content each time they open the app, users are rewarded only some of the time. This type of behavioral conditioning heightens the feelings of pleasure associated with using these apps and renders users prone to addiction.

A recent experiment nicely demonstrates the power of random first moves to generate cascades.6 Researchers worked with a website that aggregates advice on restaurants and other services. Users post comments, and other users add an up- or down-vote. In their experiment, the website randomly chose a small fraction of comments and gave them one artificial up-vote as soon as they were posted. They also randomly chose another small batch to get a down-vote. The positive up-vote significantly increased the probability that the next user also gave an up-vote, by 32 percent. After five months, the comments that had received one single artificial up-vote at the beginning were much more likely to get a top grade than those that got a single down-vote. The influence of that original nudge persisted and grew, despite the fact that the posts had been viewed a million times.

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This is how scientists investigate sensitisation in the lab. They condition porn users’ sexual arousal and dopamine activation to items that are not normally arousing. Such research helps explain why turning on your device or hearing your parents leave the house can give you ants in your pants. One of these studies also found that porn addicts habituated faster to sexual images. Their reward systems lit up less for familiar porn. To prevent habituation, the porn addict needs to seek out a constant supply of novel porn, perhaps conditioning himself to new genres along the way.

Chemically induced joy comes at a cost. That cost can be high. Very, very high. So high that you’re going to think twice after reading what science has to say about drug use. One study found that adolescents who smoke just a couple of joints of marijuana show changes in their brains. That’s not a couple of years of smoking or the decades that some adults rack up. It’s just two joints. A research team led by Dr. Gabriella Gobbi, a professor and psychiatrist at the McGill University Health Center in Montreal, discovered that teenagers using cannabis had a nearly 40% greater risk of depression and a 50% greater risk of suicidal ideation in adulthood. Dr. Gobbi stated that “given the large number of adolescents who smoke cannabis, the risk in the population becomes very big. About 7% of depression is probably linked to the use of cannabis in adolescence, which translates into more than 400,000 cases.” The research that revealed these startling numbers was not just a single study of adolescent marijuana use. It was a meta-analysis and review of 11 studies with a total of 23,317 teenage subjects followed through young adulthood. Further, Gobbi’s team only reviewed studies that provided information on depression in the subjects prior to their cannabis use. “We considered only studies that controlled for [preexisting] depression,” said Dr. Gobbi. “They were not depressed before using marijuana, so they probably weren’t using it to self-medicate.” Marijuana use preceded depression. The specific findings of Gobbi’s research include: The risk of depression associated with marijuana use in teens below age 18 is 1.4 times higher than among nonusers. The risk of suicidal thoughts is 1.5 times higher. The likelihood that teen marijuana users will attempt suicide is 3.46 times greater. In adults with prolonged marijuana use, the wiring of the brain degrades. Areas affected include the hippocampus (learning and memory), insula (compassion), and prefrontal cortex (executive functions). The authors of one study stated that “regular cannabis use is associated with gray matter volume reduction in the medial temporal cortex, temporal pole, parahippocampal gyrus, insula, and orbitofrontal cortex; these regions are rich in cannabinoid CB1 receptors and functionally associated with motivational, emotional, and affective processing. Furthermore, these changes correlate with the frequency of cannabis use . . . [while the] . . . age of onset of drug use also influences the magnitude of these changes.” A large number of studies show that cannabis use both increases anxiety and depression and leads to worse health. Key parts of your brain shrink more, based on how early you began smoking weed, and how often you smoke it. That’s a “high” price to pay.

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.

Internal research done in 2019 found that a little over 3 percent of American users were suffering from “serious problems with sleep, work, or relationships that they attribute to Facebook” and felt anxiety about their relationship with the product. The research suggested that roughly 10 million Americans suffered from “problematic use” of the main Facebook platform alone. “Though Facebook use may not meet clinical standards for addiction, we want to fix the underlying design issues that lead to this concern,” the researchers wrote.

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.

The First Amendment was meant to protect society. And ad targeting that prioritized clicks and salacious content and data mining of users was antithetical to the ideals of a healthy society. The dangers present in Facebook’s algorithms were “being co-opted and twisted by politicians and pundits howling about censorship and miscasting content moderation as the demise of free speech online,” in the words of Renée DiResta, a disinformation researcher at Stanford’s Internet Observatory. “There is no right to algorithmic amplification. In fact, that’s the very problem that needs fixing.

Problem-based user research is generative research, meaning that its purpose is to find the problem you want to solve.

Daniel X. Freedman, a pioneer of psychedelic research on LSD, wrote that LSD enables “portentousness” of the mind, so that it can perceive more than it can tell, experience more than it can explicate, and experience boundlessness and “boundaryless” events. Intense psychedelic experiences often induce what is called “ego dissolution”—where the user is no longer able to distinguish between the self and the outside world.

The entirety of Facebook’s staff working on integrity and societal issues was now literally reporting to Marketing, and the effects weren’t subtle. Social scientists had to seek approval not just to conduct research that touched on politics, climate change, bias, health, or user well-being, but even to propose studying those subjects or summarizing their past work.

Research shows that when communication partners pause for ten to forty-five seconds, AAC users are more likely to respond using their devices.18 Giving a longer wait time cues the learner that it is their turn to talk. It also gives them more time to process what is happening then choose what to do next.

Today, ReWalk has been approved for sale in Europe and in the United States. There are roughly four hundred users around the globe, including a number of US military veterans and law enforcement officials. The company is publicly traded on the New York Stock Exchange, which has provided Goffer with millions of dollars for research and investment.37 Over the next few years, the Israeli inventor hopes more people like Lomas will be able to use the device. The market’s

the proliferation of user-developed spreadsheets and databases inevitably leads to multiple versions of key indicators within an organization. Furthermore, research has shown that between 20% and 40% of spreadsheets contain errors; the more spreadsheets floating around a company, therefore, the more fecund the breeding ground for mistakes. Analytics competitors, by contrast, field centralized groups to ensure that critical data and other resources are well managed and that different parts of the organization can share data easily, without the impediments of inconsistent formats, definitions, and standards.

How to get my business on top of google search? Let’s begin with an explanation of why being on top of Google is important. To be precise, what does this mean? What are the advantages and disadvantages of being here? And who should care about it in any case? Being on top of google search means that when users make the search query - the site appears before its competitors. Not only in the row of results, but also among them in the first place. The more often you are there, the better. Being on top of Google search has a significant impact on traffic growth for your business. This is due to two reasons: 1) 80% of people do not click beyond page 1 in search engine results 2) When someone goes down to pages 2-3 they do not stay there, so it's a lost cause When it comes to SEO, there are no secrets or magic formulas that work 100% all the time. There is only a set of rules that helps you determine which actions yield a better result based on research made within a certain period of time. It may not be 100%, but you need to know at least some basics in order to have an idea about why your site doesn't have high rankings yet and what needs to be done to achieve them! Based on our experience with improving the search engine position of numerous fantasy app development websites, we compiled this list of the most important factors that influence Google rankings: 1. The code of your website and its structure (technical part) 2. The relevance of content on your site - how to make it unique and relevant at the same time (on-page factors) 3. Relevance and popularity of backlinks pointing to your site (off-page factors) 4. Quality of traffic coming from search engines to your website (on-page and off-page factors) 5. The overall authority, popularity, and trustworthiness of a domain name as well as quantity and quality of backlinks you have pointing to it (backlink profile). 6. Compatibility with the type and model of used CMS platform, user-friendliness, and a number of bugs or errors that may be present 7. Terms and conditions mentioned on your website as well as its structure, design, and user-friendliness (UX)

The real connection between drugs and violent crime lies in the profits to be made in the drug trade. The stereotype is that crack typically causes crime by turning people into violent predators. But evidence from research shattered this misconception. A key study examined all the homicides in New York City in 1988, a year when 76 percent of arrestees tested positive for cocaine. Nearly two thousand killings were studied.4 Nearly half of these homicides were not related to drugs at all. Of the rest, only 2 percent involved addicts killing people while seeking to buy crack cocaine and just 1 percent of murders involved people who had recently used the drug. Keep in mind that this study was conducted in a year when the media was filled with stories warning about “crack-crazed” addicts. Thirty-nine percent of New York City’s murders that year did involve the drug trade, however, and most of these were related to crack selling. But these killings were primarily disputes over sales territories or robberies of dealers by other dealers. In other words, they were as “crack-related” as the shoot-outs between gangsters during Prohibition were “alcohol-related.” The idea that crack cocaine turns previously nonviolent users into maniacal murderers is simply not supported by the data. When it comes to drugs, most people have beliefs that have no foundation in evidence.

In the chapter on marijuana, I have already suggested that word-of-mouth advertising about such sexual effects has played a large role in the weed’s skyrocketing popularity over the past decades, long before orthodox scientists were daring to suggest that this criminalized herb was indeed of sexual and general psychological benefit to many of its users. I am also inclined to suspect that similar word-of-mouth advertising has played a large role in keeping the LSD snowball moving, in spite of horror stories about suicide and insanity raining upon us from the highest and most authoritative sources. As psychologist William McGlothlin has sardonically noted, the “experts” are forbidden to do research in this area, while those who have done the research are criminals and, hence, regarded as untrustworthy – yet they must know things that the experts do not, since they have had the experience.

Anti-Network Effects Hit the Google+ Launch A charismatic executive from one of the most powerful technology companies in the world introduces a new product at a conference. This time, it’s June 2011 at the Web 2.0 Summit, where Google vice president Vic Gundotra describes the future of social networking and launches Google+. This was Google’s ambitious strategy to counteract Facebook, which was nearing their IPO. To give their new networked product a leg up, as many companies do, it led with aggressive upsells from their core product. The Google.com homepage linked to Google+, and they also integrated it widely within YouTube, Photos, and the rest of the product ecosystem. This generated huge initial numbers—within months, the company announced it had signed up more than 90 million users. While this might superficially look like a large user base, it actually consisted of many weak networks that weren’t engaged, because most new users showed up and tried out the product as they read about it in the press, rather than hearing from their friends. The high churn in the product was covered up by the incredible fire hose of traffic that the rest of Google’s network generated. Even though it wasn’t working, the numbers kept going up. When unengaged users interact with a networked product that hasn’t yet gelled into a stable, atomic network, then they don’t end up pulling other users into the product. In a Wall Street Journal article by Amir Efrati, Google+ was described as a ghost town even while the executives touted large top-line numbers: To hear Google Inc. Chief Executive Larry Page tell it, Google+ has become a robust competitor in the social networking space, with 90 million users registering since its June launch. But those numbers mask what’s really going on at Google+. It turns out Google+ is a virtual ghost town compared with the site of rival Facebook Inc., which is preparing for a massive initial public offering. New data from research firm comScore Inc. shows that Google+ users are signing up—but then not doing much there. Visitors using personal computers spent an average of about three minutes a month on Google+ between September and January, versus six to seven hours on Facebook each month over the same period, according to comScore, which didn’t have data on mobile usage.86 The fate of Google+ was sealed in their go-to-market strategy. By launching big rather than focusing on small, atomic networks that could grow on their own, the teams fell victim to big vanity metrics. At its peak, Google+ claimed to have 300 million active users—by the top-line metrics, it was on its way to success. But network effects rely on the quality of the growth and not just its quantity

Six key themes The real reset has gone much deeper and encompasses six key themes, all of which are linked: 1) The shift from a push system, based on producer dominance, oligopolistic competition, limited supply and restricted access, to a pull system driven by consumer dominance, near-perfect competition, perfect knowledge and ubiquitous access to goods. 2) The change from mass marketing, based on a few research and segmentation studies, to personalized marketing, based on individual customer data. 3) The realization that the e-commerce revolution and the communications revolution (social media, user reviews, influencers, etc.) has broken the traditional supply chain, with its multiple players – manufacturers, branded wholesalers and retailers – all supping from the margin cup and adding their mark-ups to prices, and replaced it with a shorter and more direct route to market. 5) The realization that the stores channel was not the only, or even best, way of moving goods from factories to consumers. Indeed, that it was inferior to the e-commerce channel in many respects as a pure goods-transmission mechanism. 6) That putting the consumer at the heart of the business model required seeing the different channels as the consumer saw them – not competing, but complementary to each other. 7) That based on this, the traditional model of the store, as a ‘warehouse’ piled high with stock and with just a narrow fringe of branding and customer service on top, was obsolete and that only a ruthless attention to the remaining added value of physical stores could ensure their continued relevance and survival.

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.

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.

However, when practicing industrial or interactive designers refer to design research, they typically mean research that is integral to the design work itself—inquiries that are part of designing, not about design. This research focuses largely on understanding the people for whom we’re designing, often referred to by the dehumanizing but instrumental term end users. Research is a core part of user-centered design.

Design targets are not marketing targets. Stamp that on every persona document you create. Market segments do not translate into archetypes. And the user type with the highest value to your business may not be the one with the most value to the design process. Maybe existing Fantastic Science Center members with post-graduate science degrees generate the most revenue through gift shop sales and special event attendance, but they know too much. Their existing level of knowledge and engagement is likely to be very high. Design for the users with less expertise and you can meet the needs of those with more

In design, “intuitive” is a synonym for “matches the user’s mental model.

Kennon Smith in their delineating of critical issues in education through the studio. Central to their investigation is a connection with other fields of design and bringing common essential characteristics to the field of instructional design. Design and narrative meet in two chapters. In the first, Katherine Cennamo relates her experiences in pairing two design forms in a multidisciplinary design studio. Not all design work is alike and different cultures exist in different disciplines. At the same time, there are lessons to be learned through this innovative studio environment. Subsequently, Wayne Nelson and David Palumbo present the crossover of an interactive design firm to engagement with instructional design. Blending processes and ideas from product design and user-experience design informs their work, beginning from their entertainment-oriented experience and moving toward an educational product. How people design—whether they are instructional designers, architects, or end users—is a valuable base for practice and education. Chapters by Lisa Yamagata-Lynch and Craig Howard examine the design process using different methods of inquiry, but both help us in our quest for understanding. While Yamagata-Lynch uses Cultural Historical Activity Theory to examine design from an end-user point of view, Howard builds on an extensive use of the case study method to examine our own practices of instructional design. As we have seen in these chapters, instructional design is a diverse field and, while the specific subject matter is important, it is but one component of education. Wayne Nelson outlines the possible scope of research and practice and finds ways to integrate the field beyond traditional educational research. The qualitative and subjective aspects of instructional design must also be addressed. The specific elements of message design, judgment, and ethics are presented in chapters by M.J. Bishop, Nilufer Korkmaz and Elizabeth Boling, and Stephanie Moore. Each is critical in a holistic understanding of the field of instructional design, touching on such questions as how we convey meaning and information, our judgment of quality in our work, and our responsibilities as designers. We began the symposium with the idea of the value of design thinking, and Gordon Rowland, in his chapter, presents a method for improving the use of design in learning and thinking. Design is “a unique and essential form of inquiry,” and Rowland’s method can advance the use of design as a full-fledged educational component. Examining design and education encourages us to address larger, more systemic issues. Marcia Ashbaugh and Anthony Piña examine leadership thinking and how it could infuse and direct instructional design. How to improve the practice of design inquiry extends to the full field of education and to leadership in higher education. Paul Zenke’s chapter examines the role of university leadership as designers. Challenges abound in the modern age for higher education, and the application of design thinking and transformation is sorely needed. Our story, the chapters of this book, began with detailed views of the work of instructional design

[...] The hope is that research can find ways to improve a faulty social brain. There is already evidence that practice can help people overcome at least some of the motor deficits I've just described. Remember Temple Grandin, the autistic woman who learned how to approach people properly, without bowling them over, by walking through a supermarket's automatic doors over and over until she got the steps down? She overcame a social problem that was really a motor problem. [...]

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.

So can we arrive at a general principle as to why e-books have flopped in developed markets while audio and video streaming have triumphed? The technology commentator and best-selling author Edward Tenner argues that there are several reasons people are sometimes reluctant to abandon an old technology in favor of a new one. The first involves the potential vulnerabilities of the new thing. For instance, the fax machine is now a museum piece, but for a while people continued to prefer it over emailing scanned documents out of security concerns. Another potential reason involves aesthetics and nostalgia. Although dwarfed by music CDs and streaming, vinyl record sales continue to grow within the niche market of music aficionados. And despite improvements in automatic transmissions, certain car lovers prefer stick shifts. Perhaps the key to understanding format resilience is that technologies rise and fall as part of ecosystems, rarely on their own or by themselves. Those ecosystems need to evolve quickly, through open innovation, in order to appeal to new generations of users, transforming the landscape in the process. E-book platforms have remained fundamentally closed to external innovators, especially on the software side. As a result, the functionality of e-books remains limited. Moreover, research indicates that reading a physical book enables the reader to absorb information more efficiently than reading the same book on an e-reader or a tablet. “The implicit feel of where you are in a physical book turns out to be more important than we realized,” argues Abigail Sellen, a scientist and engineer at Microsoft Research Cambridge in England. “Only when you get an e-book do you start to miss it. I don’t think e-book manufacturers have thought enough about how you might visualize where you are in a book.

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.