research-article

Evaluating 'Prefer not to say' Around Sensitive Disclosures

Authors:

Agnieszka Kitkowska,

Juan F. Maestre,

Ann BlandfordAuthors Info & Claims

CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Pages 1 - 13

https://doi.org/10.1145/3313831.3376150

Published: 23 April 2020 Publication History

Abstract

As people's offline and online lives become increasingly entwined, the sensitivity of personal information disclosed online is increasing. Disclosures often occur through structured disclosure fields (e.g., drop-down lists). Prior research suggests these fields may limit privacy, with non-disclosing users being presumed to be hiding undesirable information. We investigated this around HIV status disclosure in online dating apps used by men who have sex with men. Our online study asked participants (N=183) to rate profiles where HIV status was either disclosed or undisclosed. We tested three designs for displaying undisclosed fields. Visibility of undisclosed fields had a significant effect on the way profiles were rated, and other profile information (e.g., ethnicity) could affect inferences that develop around undisclosed information. Our research highlights complexities around designing for non-disclosure and questions the voluntary nature of these fields. Further work is outlined to ensure disclosure control is appropriately implemented around online sensitive information disclosures.

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Index Terms

Evaluating 'Prefer not to say' Around Sensitive Disclosures
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI
    2. HCI design and evaluation methods
      1. User studies

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cover image ACM Conferences

CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

April 2020

10688 pages

ISBN:9781450367080

DOI:10.1145/3313831

General Chairs:
Regina Bernhaupt
Eindhoven University of Technology, Netherlands
,
Florian 'Floyd' Mueller
Monash University, Australia
,
David Verweij
Newcastle University, UK
,
Josh Andres
RMIT, Australia
,
Program Chairs:
Joanna McGrenere
University of British Columbia, Canada
,
Andy Cockburn
University of Canterbury, New Zealand
,
Ignacio Avellino
University of Maryland Baltimore County, USA
,
Alix Goguey
Grenoble Alpes University, France
,
Pernille Bjørn
University of Copenhagen, Denmark
,
Shengdong (Shen) Zhao
National University of Singapore, Singapore
,
Briane Paul Samson
Future University Hakodate, Japan & De La Salle University, Philippines
,
Rafal Kocielnik
University of Washington, USA

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Published: 23 April 2020

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Cited By

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https://dl.acm.org/doi/10.1145/3686948
Gómez Ortega ABourgeois JKortuem G(2024)Sensitive Data Donation: A Feminist Reframing of Data Practices for Intimate Research ContextsProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661524(2420-2434)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661524
Orii LFeldacker CHuwa JThawani AViola EKiruthu-Kamamia CSande OTweya HAnderson R(2024)HIV Client Perspectives on Digital Health in MalawiProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642245(1-13)Online publication date: 11-May-2024
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Shulman YKitkowska AWarner MMeyer J(2024)Conceal or reveal: (non)disclosure choices in online information sharingBehaviour & Information Technology10.1080/0144929X.2024.2304613(1-25)Online publication date: 29-Jan-2024
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Warner MGibbs JBlandford A(2024)Shifting Norms and Value Conflicts: Exploring the Effects of HIV Status Disclosure Fields in Sex-Social AppsArchives of Sexual Behavior10.1007/s10508-023-02801-553:4(1575-1589)Online publication date: 1-Feb-2024
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