Controlled study examines persuasive strategies to improve user recognition of manipulative designs, suggesting effectiveness of social influence.
The rise of e-commerce, gaming, and social networking sites has exposed the use of manipulative designs (MDs), or ”dark patterns,” which exploit users’ cognitive biases to benefit companies at the users’ expense. While previous research has classified MDs and explored their impact, there has been limited focus on how to warn and educate users to recognize and resist these tactics. To address this gap, we conducted a controlled study with 135 participants, using a Protection Motivation Theory (PMT) survey to understand what motivates people to learn about manipulative designs (MDs). We also tested two persuasive strategies, based on Cialdini’s principles of social influence and authority, to gauge their effectiveness in raising awareness about MDs. For this, we created a simulated application in a mobile app distribution platform modeled like Google Play Store, containing a visual signal, a warning based on one of the two strategies, and simulated reviews from other users. The results indicate that two of the five PMT constructs - a higher Perceived Severity of MDs and a lower Perceived Response Cost of learning about MDs - have the most significant influence on the Intention to learn more about MDs. The participants in the experimental group, exposed to the two persuasive strategies exhibited a larger increase in their intention to seek information about MDs than the participants in the control group. We also collected and analyzed the time spent on viewing and working with the simulation by participants. Our analysis revealed that the social influence version was relatively more effective than the authority version in capturing participants’ attention. Our study highlights the potential of persuasive interventions in improving user protection against manipulative designs (MDs) on mobile app distribution platforms. Implementing such strategies can increase accountability, transparency, and MD awareness among users, helping them avoid exploitation.
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Babaei et al. (2025) studied this question.
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