Yanzi Veronica Lin, Vivianna Lieu, Cheng Zhang, Weiqian Zhang, Wenchao Hu, Lorrie Faith Cranor, and Sarah Scheffler, Carnegie Mellon University
Governments have enacted age assurance regulations to prevent minors from accessing age-restricted content online, potentially creating barriers for adult users. This preliminary study empirically examines how different age assurance methods and accompanying data handling disclosures influence user behavior. We conducted a deceptive online experiment, framed as a usability test for a simulated gambling website, followed by a survey. Participants (n=99) were randomly assigned to one of six verification conditions, ranging from simple checkbox self-declaration to more complex methods involving government-issued IDs and AI-based facial analysis. The Checkbox method had the highest completion rate and user-reported comfort, while methods involving government-issued ID verification resulted in lower completion rates and comfort. Data handling disclosures produced mixed effects on verification decisions, but this should be explored further with a larger sample. Privacy concerns were particularly pronounced for methods requiring personal identification documents, with many participants expressing reluctance to share sensitive information with unfamiliar entities.
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