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Tangible Privacy: Towards User-Centric Sensor Designs for Bystander Privacy

Authors:

Adam J. LeeAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 4, Issue CSCW2

Article No.: 116, Pages 1 - 28

https://doi.org/10.1145/3415187

Published: 15 October 2020 Publication History

Abstract

Sensor-enabled computers in the form of 'IoT' devices such as home security cameras and voice assistants are increasingly becoming pervasive in our environment. With the embedded cameras and microphones in these devices, this 'invasion' of our everyday spaces can pose significant threats to the privacy of bystanders. Because of their complex functionality, even when people attempt privacy measures (such as asking the owner to "turn the camera off"), these devices may still record information because of the lack of a 'real' off button. With the ambiguities of current designs, a bystander's perceived privacy can diverge from their actual privacy. Indeed, being able to assess one's actual privacy is a key aspect in managing one's privacy according to Altman's theory of boundary regulation, and current designs fall short in assuring people of their privacy. To understand how people as bystanders manage their privacy with IoT devices, we conducted an interview study about people's perceptions of and behaviors around current IoT devices. We find that although participants' behaviors line up with Altman's theory of boundary regulation, in the face of uncertainty about their privacy, they desire or engage in various 'tangible' workarounds. Based on our findings, we identify and introduce the concept of 'tangible privacy' as being essential to boundary regulation with IoT devices. We argue that IoT devices should be designed in a way that clearly and unambiguously conveys sensor states to people around them and make actionable design recommendations to provide strong privacy assurances to bystanders.

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Cited By

Sun LYang BKindt EChu J(2024)Privacy Barriers in Health Monitoring: Scoping ReviewJMIR Nursing10.2196/535927(e53592)Online publication date: 9-May-2024
https://doi.org/10.2196/53592
Pattnaik NLi SNurse J(2024)Security and Privacy Perspectives of People Living in Shared Home EnvironmentsProceedings of the ACM on Human-Computer Interaction10.1145/36869078:CSCW2(1-39)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686907
Shalawadi SEchtler FRaptis D(2024)Dr. Convenience Love or: How I Learned to Stop Worrying and Love my Voice Assistant✱Proceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685364(1-14)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3679318.3685364
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Index Terms

Tangible Privacy: Towards User-Centric Sensor Designs for Bystander Privacy
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Empirical studies in ubiquitous and mobile computing
2. Security and privacy
  1. Human and societal aspects of security and privacy
    1. Usability in security and privacy

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 4, Issue CSCW2

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October 2020

2310 pages

EISSN:2573-0142

DOI:10.1145/3430143

Editor:
Jeff Nichols
Apple Inc.

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Published: 15 October 2020

Published in PACMHCI Volume 4, Issue CSCW2

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Cited By

Sun LYang BKindt EChu J(2024)Privacy Barriers in Health Monitoring: Scoping ReviewJMIR Nursing10.2196/535927(e53592)Online publication date: 9-May-2024
https://doi.org/10.2196/53592
Pattnaik NLi SNurse J(2024)Security and Privacy Perspectives of People Living in Shared Home EnvironmentsProceedings of the ACM on Human-Computer Interaction10.1145/36869078:CSCW2(1-39)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686907
Shalawadi SEchtler FRaptis D(2024)Dr. Convenience Love or: How I Learned to Stop Worrying and Love my Voice Assistant✱Proceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685364(1-14)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3679318.3685364
Hahn SAl-Amrani NAllagah SHuang HKircher ERehs CVogt JMarky KGerber N(2024)How to Respect Bystanders' Privacy in Smart Homes - A Co-Creation StudyProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685340(1-19)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3679318.3685340
Windl MSchlegel MMayer S(2024)Exploring Users' Mental Models and Privacy Concerns During Interconnected InteractionsProceedings of the ACM on Human-Computer Interaction10.1145/36765048:MHCI(1-23)Online publication date: 24-Sep-2024
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Xu ZXu HLu ZZhao YZhu RWang YDong MChang YLv QDick RYang FLu TGu NShang L(2024)Can Large Language Models Be Good Companions?Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596008:2(1-41)Online publication date: 15-May-2024
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Kumar PZimmer MVitak J(2024)A Roadmap for Applying the Contextual Integrity Framework in Qualitative Privacy ResearchProceedings of the ACM on Human-Computer Interaction10.1145/36537108:CSCW1(1-29)Online publication date: 26-Apr-2024
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Xu ABiehl JLee A(2024)Getting it Just Right: Towards Balanced Utility, Privacy, and Equity in Shared Space SensingACM Transactions on Internet of Things10.1145/36484795:2(1-26)Online publication date: 29-Feb-2024
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Shalawadi SGetschmann Cvan Berkel NEchtler F(2024)Manual, Hybrid, and Automatic Privacy Covers for Smart Home CamerasProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661569(3453-3470)Online publication date: 1-Jul-2024
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Windl MFeger S(2024)Designing Interactive Privacy Labels for Advanced Smart Home Device Configuration OptionsProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661527(3372-3388)Online publication date: 1-Jul-2024
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