Florian Lachner
I am a passionate mixed-methods UX researcher with over 12 years of experience in the field of Human-Computer Interaction (HCI). My earlier research focused on the intersection of human psychology, culturally sensitive design, and machine learning. In recent years, I have led research programs dedicated to usable security and privacy. My interdisciplinary background and educational training enable me to highly value cross-functional collaborations with UX designers, product managers, and engineers.
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User Attitudes Towards Controls for Ad Interests Estimated On-device by the Browser
Yuan Chen
Theodore Olsauskas-Warren
Symposium on Usable Security and Privacy (USEC) (2023)
Preview abstract
Online behavioral advertising is a double-edged sword. While relevant display ads are generally considered useful, opaque tracking based on third-party cookies has reached unfettered sprawl and is deemed to be privacy-intrusive. However, existing ways to preserve privacy do not sufficiently balance the needs of both users and the ecosystem. In this work, we evaluate alternative browser controls. We leverage the idea of inferring interests on users’ devices and designed novel browser controls to manage these interests. Through a mixed method approach, we studied how users feel about this approach. First, we conducted pilot interviews with 9 participants to test two design directions. Second, we ran a survey with 2,552 respondents to measure how our final design compares with current cookie settings. Respondents reported a significantly higher level of perceived privacy and feeling of control when introduced to the concept of locally inferred interests with an option for removal.
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