To Mask or Not to Mask?

Author:

Alharbi Rawan1,Tolba Mariam1,Petito Lucia C.1,Hester Josiah1,Alshurafa Nabil1

Affiliation:

1. Northwestern University

Abstract

Activity-oriented cameras are increasingly being used to provide visual confirmation of specific hand-related activities in real-world settings. However, recent studies have shown that bystander privacy concerns limit participant willingness to wear a camera. Researchers have investigated different image obfuscation methods as an approach to enhance bystander privacy; however, these methods may have varying effects on the visual confirmation utility of the image, which we define as the ability of a human viewer to interpret the activity of the wearer in the image. Visual confirmation utility is needed to annotate and validate hand-related activities for several behavioral-based applications, particularly in cases where a human in the loop method is needed to label (e.g., annotating gestures that cannot be automatically detected yet). We propose a new type of obfuscation, activity-oriented partial obfuscation, as a methodological contribution to researchers interested in obtaining visual confirmation of hand-related activities in the wild. We tested the effects of this approach by collecting ten diverse and realistic video scenarios that involved the wearer performing hand-related activities while bystanders performed activities that could be of concern if recorded. Then we conducted an online experiment with 367 participants to evaluate the effect of varying degrees of obfuscation on bystander privacy and visual confirmation utility. Our results show that activity-oriented partial obfuscation (1) maintains visual confirmation of the wearer's hand-related activity, especially when an object is present in the hand, and even when extreme filters are applied, while (2) significantly reducing bystander concerns and enhancing bystander privacy. Informed by our analysis, we further discuss the impact of the filter method used in activity-oriented partial obfuscation on bystander privacy and concerns.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Detecting Eating, and Social Presence with All Day Wearable RGB-T;Proceedings of the 8th ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies;2023-06-21

2. VoiceCloak;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2023-06-12

3. Modeling the Trade-off of Privacy Preservation and Activity Recognition on Low-Resolution Images;Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

4. Is cartoonized life-vlogging the key to increasing adoption of activity-oriented wearable camera systems?;Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

5. Privacy-Enhancing Technology and Everyday Augmented Reality;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2022-12-21

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