Can Privacy Be Satisfying? On Improving Viewer Satisfaction for Privacy-Enhanced Photos Using Aesthetic Transforms

AI Ethics, Fairness & AccountabilityPrivacy by Design & User ControlUI/UX DesignersPrivacy Policy Makers

Pervasive photo sharing in online social media platforms can cause unintended privacy violations when elements of an image reveal sensitive information. Prior studies have identified image obfuscation methods (e.g., blurring) to enhance privacy, but many of these methods adversely affect viewers' satisfaction with the photo, which may cause people to avoid using them. In this paper, we study the novel hypothesis that it may be possible to restore viewers' satisfaction by 'boosting' or enhancing the aesthetics of an obscured image, thereby compensating for the negative effects of a privacy transform. Using a between-subjects online experiment, we studied the effects of three artistic transformations on images that had objects obscured using three popular obfuscation methods validated by prior research. Our findings suggest that using artistic transformations can mitigate some negative effects of obfuscation methods, but more exploration is needed to retain viewer satisfaction.

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https://hci.top/en/papers/chi/7308/2019

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Source
CHI
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Year
2019
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7 authors
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Subtopics
AI Ethics, Fairness & Accountability, Privacy by Design & User Control
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Professions
UI/UX Designers, Privacy Policy Makers
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Abstract only
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