Most people are unaware of this moment. Twenty minutes after opening an app, perhaps just to check the time, you’re still there, having made a purchase, liked fourteen posts, or unintentionally subscribed to a newsletter. You were not coerced. No one even inquired. That’s the idea.
Persuasive technology is not self-announced. When you can’t feel it working, it functions best. It uses behavioral science, psychology, and decades of quiet academic research to nudge, prompt, and coax users toward particular actions. It is built into the architecture of the apps and websites that now shape vast portions of daily life. The checkout button is perfectly positioned. The alert was sent at the exact moment. The social media feed is designed to seem intimate, but it is not.
Unbeknownst to most, all of this has its intellectual origins in a single Stanford University lab. The term “captology” refers to the study of computers as persuasive technologies, and BJ Fogg, a psychologist who began researching computers and persuasion in the 1990s, created the Stanford Persuasive Tech Lab in 1998. At first, his concepts were clinical and nearly academic. He outlined a functional triad in which technology could act as a social actor, a tool, or a medium, each of which had the potential to change human behavior. It read like a researcher’s framework. It turned into an industry playbook.
When discussing how things came to be, his 2007 “Facebook class” is still brought up. 75 pupils. A single semester. Building and launching actual Facebook apps quickly was the aim. Before graduating, some students earned substantial sums of money. Among them was one of Instagram’s co-founders. When Fogg thought back on that year, he said that “you could walk in and collect gold.” It’s difficult to determine whether he completely foresaw the eventual nature of the gold rush.
What came next wasn’t just evil—that would be an overly tidy narrative. In fact, persuasive technology has created tools that support mental health management, platforms that promote energy conservation, and health apps that assist individuals in quitting smoking. On the other hand, the same design logic that ensnares you in a shopping loop can encourage someone to take their medication. The technology is immoral in and of itself. The complexity lies in the intent behind it.
In this field, the distinction between manipulation and persuasion has always been hazy, and it appears to get fuzzier every year. In the conventional sense, persuasion entails making arguments and letting the other person make the final decision. Manipulation entails subtly influencing the decision-making environment so that the individual is unaware that their choice has already been made. App notification systems, social media news feeds, and Amazon’s one-click checkout all fall somewhere in between those two definitions, and it seems that the companies creating them would rather keep the definitions vague.
For his part, Fogg has long maintained that he raised ethical concerns at an early stage. In 2006, ten years before it made headlines, he recorded a video alerting the FTC about persuasion profiles, organized academic panels, and published the first peer-reviewed paper on persuasive technology ethics. It’s important to recognize that. However, when the issue being warned about also generates billions of dollars, warnings given in academic conference rooms don’t always go far.
Observing this develop over time, it’s amazing how commonplace everything has become. boot camps for behavior design. consulting on persuasion. Create frameworks that are specifically designed to initiate particular actions. These are industries, not peripheral pursuits. Additionally, the systems they create are becoming more accurate, using more data, operating on faster hardware, and learning individual patterns at a scale that was beyond the scope of Fogg’s initial research.
Regulation, redesign, or something else entirely may be the solution, but this is still up for debate. It is evident that the technology is no longer merely persuasive. It’s fluid in timing, human frailty, and the unique loneliness of staring at a screen. And it’s improving in every way.
