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Sensing is Believing: What People Think Biosensors Can Reveal About Thoughts and Feelings

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Coye CheshireAuthors Info & Claims

DIS '19: Proceedings of the 2019 on Designing Interactive Systems Conference

Pages 413 - 420

https://doi.org/10.1145/3322276.3322286

Published: 18 June 2019 Publication History

Abstract

Biosensors-devices that sense the human body-are increasingly ubiquitous. However, it is unclear how people evaluate the risks associated with their use, in part because it is not well-understood what people believe these sensors can reveal. In this study, participants ranked biosensors by how likely they are to reveal what a person is thinking and feeling. We report quantitative and qualitative results of two survey-based studies, one on Mechanical Turk workers (n=100), and one on participants in a longitudinal self-tracking study (n=100). Our findings imply that, in the absence of information about particular sensing technologies, people rely on existing beliefs about the body to explain what they might reveal. Highlighting mismatches between perceived and actual technical capabilities, we contribute recommendations for designers and users.

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Cited By

Stepanova EHaynes ATurmo Vidal LChiossi FEl Ali AQuintero LLuft YCampo Woytuk NMayer S(2024)Envisioning Ubiquitous Biosignal Interaction with MultimediaProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701609(495-500)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1145/3701571.3701609
Yan DBourgeois JKortuem G(2024)Say You, Say Me: Investigating the Personal insights Generated from One's Own data and Other's dataProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685345(1-14)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3679318.3685345
Persky S(2024)Psychological Underpinnings of Trust and Privacy Perception in the Medical MetaverseJournal of Medical Extended Reality10.1089/jmxr.2023.00101:1(186-190)Online publication date: 1-Mar-2024
https://doi.org/10.1089/jmxr.2023.0010
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Index Terms

Sensing is Believing: What People Think Biosensors Can Reveal About Thoughts and Feelings
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI

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Published In

cover image ACM Conferences

DIS '19: Proceedings of the 2019 on Designing Interactive Systems Conference

June 2019

1628 pages

ISBN:9781450358507

DOI:10.1145/3322276

General Chairs:
Steve Harrison
Virginia Tech, USA
,
Shaowen Bardzell
Indiana University, USA
,
Program Chairs:
Carman Neustaedter
Simon Fraser University, Canada
,
Deborah Tatar
Virginia Tech, USA

Copyright © 2019 Owner/Author.

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives International 4.0 License.

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 June 2019

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William and Flora Hewlett Foundation

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DIS '19

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SIGCHI

DIS '19: Designing Interactive Systems Conference 2019

June 23 - 28, 2019

CA, San Diego, USA

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DIS '19 Paper Acceptance Rate 105 of 415 submissions, 25%;

Overall Acceptance Rate 1,158 of 4,684 submissions, 25%

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Cited By

Stepanova EHaynes ATurmo Vidal LChiossi FEl Ali AQuintero LLuft YCampo Woytuk NMayer S(2024)Envisioning Ubiquitous Biosignal Interaction with MultimediaProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701609(495-500)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1145/3701571.3701609
Yan DBourgeois JKortuem G(2024)Say You, Say Me: Investigating the Personal insights Generated from One's Own data and Other's dataProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685345(1-14)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3679318.3685345
Persky S(2024)Psychological Underpinnings of Trust and Privacy Perception in the Medical MetaverseJournal of Medical Extended Reality10.1089/jmxr.2023.00101:1(186-190)Online publication date: 1-Mar-2024
https://doi.org/10.1089/jmxr.2023.0010
Berger AKurze ABischof ABenjamin JWong RMerrill N(2023)Accidentally Evil: On Questionable Values in Smart Home Co-DesignProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581504(1-14)Online publication date: 19-Apr-2023
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Newn JKelly RD'Alfonso SLederman R(2022)Examining and Promoting Explainable Recommendations for Personal Sensing Technology AcceptanceProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35502976:3(1-27)Online publication date: 7-Sep-2022
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Pins DJakobi TBoden AAlizadeh FWulf V(2021)Alexa, We Need to Talk: A Data Literacy Approach on Voice AssistantsProceedings of the 2021 ACM Designing Interactive Systems Conference10.1145/3461778.3462001(495-507)Online publication date: 28-Jun-2021
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Benjamin JBerger AMerrill NPierce JKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)Machine Learning Uncertainty as a Design Material: A Post-Phenomenological InquiryProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445481(1-14)Online publication date: 6-May-2021
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Gordon JCurran MChuang JCheshire CKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)Covert Embodied Choice: Decision-Making and the Limits of Privacy Under Biometric SurveillanceProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445309(1-12)Online publication date: 6-May-2021
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