research-article

I Can't Be Myself: Effects of Wearable Cameras on the Capture of Authentic Behavior in the Wild

Authors:

Nilofar Vafaie,

Angela Pfammatter,

Nabil AlshurafaAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 2, Issue 3

Article No.: 90, Pages 1 - 40

https://doi.org/10.1145/3264900

Published: 18 September 2018 Publication History

Abstract

Wearable sensors can provide reliable, automated measures of health behaviors in free-living populations. However, validation of these measures is impossible without observable confirmation of behaviors. Participants have expressed discomfort during the use of ego-centric wearable cameras with first-person view. We argue that mounting the camera on different body locations with a different lens orientation, gives a device recording affordance that has the effect of reducing surveillance and social discomfort compared to ego-centric cameras. We call these types of cameras "activity-oriented" because they are designed to capture a particular activity, rather than the field of view of the wearer. We conducted an experiment of three camera designs with 24 participants, collecting qualitative data on participants' experience while wearing these devices in the wild. We provide a model explaining factors that lead to an increase in social presence and social stigma, which, therefore, create social and surveillance discomfort for the wearer. Wearers' attempts to reduce this discomfort by modifying their behavior or abandoning the device threatens the validity of observations of authentic behaviors. We discuss design implications and provide recommendations to help reduce social presence and stigma in order to improve the validity of observations with cameras in the wild.

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Cited By

Zhang LStangl ASharma TTseng YXu IGurari DWang YFindlater L(2024)Designing Accessible Obfuscation Support for Blind Individuals’ Visual Privacy ManagementProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642713(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642713
Moore JMcMeekin PParkes TWalker RMorris RStuart SHetherington VGodfrey A(2024)Contextualizing remote fall risk: Video data capture and implementing ethical AInpj Digital Medicine10.1038/s41746-024-01050-77:1Online publication date: 6-Mar-2024
https://doi.org/10.1038/s41746-024-01050-7
Nolasco HVargo ABohley NBrinkhaus CKise K(2023)Examining Participant Adherence with Wearables in an In-the-Wild SettingSensors10.3390/s2314647923:14(6479)Online publication date: 18-Jul-2023
https://doi.org/10.3390/s23146479
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Index Terms

I Can't Be Myself: Effects of Wearable Cameras on the Capture of Authentic Behavior in the Wild
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Empirical studies in ubiquitous and mobile computing
    2. Ubiquitous and mobile computing theory, concepts and paradigms
2. Security and privacy
  1. Human and societal aspects of security and privacy
    1. Social aspects of security and privacy

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 2, Issue 3

September 2018

1536 pages

EISSN:2474-9567

DOI:10.1145/3279953

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Publication History

Published: 18 September 2018

Accepted: 01 September 2018

Revised: 01 May 2018

Received: 01 February 2018

Published in IMWUT Volume 2, Issue 3

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Zhang LStangl ASharma TTseng YXu IGurari DWang YFindlater L(2024)Designing Accessible Obfuscation Support for Blind Individuals’ Visual Privacy ManagementProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642713(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642713
Moore JMcMeekin PParkes TWalker RMorris RStuart SHetherington VGodfrey A(2024)Contextualizing remote fall risk: Video data capture and implementing ethical AInpj Digital Medicine10.1038/s41746-024-01050-77:1Online publication date: 6-Mar-2024
https://doi.org/10.1038/s41746-024-01050-7
Nolasco HVargo ABohley NBrinkhaus CKise K(2023)Examining Participant Adherence with Wearables in an In-the-Wild SettingSensors10.3390/s2314647923:14(6479)Online publication date: 18-Jul-2023
https://doi.org/10.3390/s23146479
King ZYu HVaessen TMyin-Germeys ISano A(2023)Towards the Understanding of Receptivity and Affect in EMAs using Physiological based Machine Learning Method: Analysis of Receptivity and Affect (Preprint)JMIR mHealth and uHealth10.2196/46347Online publication date: 8-Feb-2023
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Alshurafa NStump TRomano CF. Pfammatter ALin AHester JHedeker DForman ESpring B(2023)Rationale and design of the SenseWhy project: A passive sensing and ecological momentary assessment study on characteristics of overeating episodesDIGITAL HEALTH10.1177/205520762311583149(205520762311583)Online publication date: 27-Apr-2023
https://doi.org/10.1177/20552076231158314
Shahi SSen SPedram MAlharbi RGao YKatsaggelos AHester JAlshurafa NMao SWang SFang HGao WZhou G(2023)Detecting Eating, and Social Presence with All Day Wearable RGB-TProceedings of the 8th ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies10.1145/3580252.3586974(68-79)Online publication date: 21-Jun-2023
https://dl.acm.org/doi/10.1145/3580252.3586974
Alharbi RShahi SCruz SLi LSen SPedram MRomano CHester JKatsaggelos AAlshurafa N(2023)SmokeMonProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35694606:4(1-25)Online publication date: 11-Jan-2023
https://dl.acm.org/doi/10.1145/3569460
Fernandes GZhu HPedram MSchauer JShahi SRomano CGergle DAlshurafa N(2023)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 Systems10.1145/3544549.3585812(1-8)Online publication date: 19-Apr-2023
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Pedram MFernandes GRomano CWei BSen SHester JAlshurafa N(2023)Experience: Barriers and Opportunities of Wearables for Eating ResearchExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3573841(1-8)Online publication date: 19-Apr-2023
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Zhang SLi YZhang SShahabi FXia SDeng YAlshurafa N(2022)Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on AdvancesSensors10.3390/s2204147622:4(1476)Online publication date: 14-Feb-2022
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