Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/985921.985999acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
Article

Affective sensors, privacy, and ethical contracts

Published: 24 April 2004 Publication History

Abstract

Sensing affect raises critical privacy concerns, which are examined here using ethical theory, and with a study that illuminates the connection between ethical theory and privacy. We take the perspective that affect sensing systems encode a designer's ethical and moral decisions: which emotions will be recognized, who can access recognition results, and what use is made of recognized emotions. Previous work on privacy has argued that users want feedback and control over such ethical choices. In response, we develop ethical contracts from the theory of contractualism, which grounds moral decisions on mutual agreement. Current findings indicate that users report significantly more respect for privacy in systems with an ethical contract when compared to a control.

References

[1]
Picard, R. W. and Klein, J. (2002). Computers that Recognise and Respond to User Emotion: Theoretical and Practical Implications. Interacting with Computers, 14(2) (2002), 141--169.
[2]
DARPA SB032-038 TITLE: Integrated System for Emotional State Recognition for the Enhancement of Human Performance and Detection of Criminal Intent. http://www.dodsbir.net/solicitation/darpa032.htm
[3]
Reynolds, C. (2001) The Sensing and Measurement of Frustration with Computers. Master's thesis, MIT.
[4]
Moor, J. H. (1985). What is computer ethics? Metaphilosophy, 28(3) 266--275.
[5]
Cudd, A. (2000). Contractarianism. http://plato.stanford.edu/entries/contractarianism
[6]
Friedman, B. (1995). It's the computer's fault: reasoning about computers as moral agents. CHI '95 Conference Companion 1995: 226--227.
[7]
Cranor, L. and Reagle, J. (1998). Designing a Social Protocol: Lessons Learned from the Platform for Privacy Preferences Project, in J. K. MacKie-Mason and D. Waterman (eds.) Telephony, the Internet, and the Media. Lawrence Erlbaum Associates, Mahwah, NJ, 1998.
[8]
Debian Social Contract http://www.debian.org/social_contract

Cited By

View all
  • (2024)Spatio-Temporal Graph Analytics on Secondary Affect Data for Improving Trustworthy Emotional AIIEEE Transactions on Affective Computing10.1109/TAFFC.2023.329669515:1(30-49)Online publication date: Jan-2024
  • (2024)Opacity, Transparency, and the Ethics of Affective ComputingIEEE Transactions on Affective Computing10.1109/TAFFC.2023.327823015:1(4-17)Online publication date: Jan-2024
  • (2024)The Ethics of AI in GamesIEEE Transactions on Affective Computing10.1109/TAFFC.2023.327642515:1(79-92)Online publication date: Jan-2024
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
CHI EA '04: CHI '04 Extended Abstracts on Human Factors in Computing Systems
April 2004
975 pages
ISBN:1581137036
DOI:10.1145/985921
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 April 2004

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. affective computing
  2. contractualism
  3. emotion recognition
  4. ethics
  5. privacy
  6. sensors

Qualifiers

  • Article

Conference

CHI04
Sponsor:

Acceptance Rates

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)28
  • Downloads (Last 6 weeks)1
Reflects downloads up to 01 Nov 2024

Other Metrics

Citations

Cited By

View all
  • (2024)Spatio-Temporal Graph Analytics on Secondary Affect Data for Improving Trustworthy Emotional AIIEEE Transactions on Affective Computing10.1109/TAFFC.2023.329669515:1(30-49)Online publication date: Jan-2024
  • (2024)Opacity, Transparency, and the Ethics of Affective ComputingIEEE Transactions on Affective Computing10.1109/TAFFC.2023.327823015:1(4-17)Online publication date: Jan-2024
  • (2024)The Ethics of AI in GamesIEEE Transactions on Affective Computing10.1109/TAFFC.2023.327642515:1(79-92)Online publication date: Jan-2024
  • (2024)Multimodal Emotion Recognition with Deep LearningInformation Fusion10.1016/j.inffus.2023.102218105:COnline publication date: 1-May-2024
  • (2022)Adapting visualizations and interfaces to the userit - Information Technology10.1515/itit-2022-003564:4-5(133-143)Online publication date: 31-Aug-2022
  • (2022)Ethics and Good Practice in Computational ParalinguisticsIEEE Transactions on Affective Computing10.1109/TAFFC.2020.302101513:3(1236-1253)Online publication date: 1-Jul-2022
  • (2021)COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona CrisisFrontiers in Digital Health10.3389/fdgth.2021.5649063Online publication date: 29-Mar-2021
  • (2020)Thermal Infrared Imaging-Based Affective Computing and Its Application to Facilitate Human Robot Interaction: A ReviewApplied Sciences10.3390/app1008292410:8(2924)Online publication date: 23-Apr-2020
  • (2020)A Survey on Automatic Multimodal Emotion Recognition in the WildAdvances in Data Science: Methodologies and Applications10.1007/978-3-030-51870-7_3(35-64)Online publication date: 27-Aug-2020
  • (2019)Assessing Animal Emotion and Behavior Using Mobile Sensors and Affective ComputingEmerging Trends and Applications in Cognitive Computing10.4018/978-1-5225-5793-7.ch003(49-77)Online publication date: 2019
  • Show More Cited By

View Options

Get Access

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media