Deakin University

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Biometric mirror: Exploring values and attitudes towards facial analysis and automated decision-making

conference contribution
posted on 2019-01-01, 00:00 authored by Niels Wouters, Ryan Kelly, Eduardo Velloso, Katrin Wolf, Hasan Ferdous, Joshua Newn, Zaher Joukhadar, Frank Vetere
Facial analysis applications are increasingly being applied to inform decision-making processes. However, as global reports of unfairness emerge, governments, academia and industry have recognized the ethical limitations and societal implications of this technology. Alongside initiatives that aim to formulate ethical frameworks, we believe that the public should be invited to participate in the debate. In this paper, we discuss Biometric Mirror, a case study that explored opinions about the ethics of an emerging technology. The interactive application distinguished demographic and psychometric information from people's facial photos and presented speculative scenarios with potential consequences based on their results. We analyzed the interactions with Biometric Mirror and media reports covering the study. Our findings demonstrate the nature of public opinion about the technology's possibilities, reliability, and privacy implications. Our study indicates an opportunity for case study-based digital ethics research, and we provide practical guidelines for designing future studies.



San Diego, California

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Publication classification

E1.1 Full written paper - refereed

Copyright notice

2019, ACM

Title of proceedings

DIS 2019 : Proceedings of the ACM International Conference on Designing Interactive Systems


DIS 2019 ACM Designing Interactive Systems. International Conference (2019 : San Diego, California)


Association for Computing Machinery (ACM)

Place of publication

New York, N.Y.


ACM International Conference Series : Contesting Borders and Intersections