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Pitfalls of Affective Computing: How can the automatic visual communication of emotions lead to harm, and what can be done to mitigate such risks?
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-4998-1685
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-3495-2961
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-3034-6630
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2018 (English)In: WWW '18 Companion Proceedings of the The Web Conference 2018, New York, NY: ACM Publications, 2018, p. 1563-1566Conference paper, Published paper (Refereed)
Abstract [en]

What would happen in a world where people could "see'' others' hidden emotions directly through some visualizing technology Would lies become uncommon and would we understand each other better Or to the contrary, would such forced honesty make it impossible for a society to exist The science fiction television show Black Mirror has exposed a number of darker scenarios in which such futuristic technologies, by blurring the lines of what is private and what is not, could also catalyze suffering. Thus, the current paper first turns an eye towards identifying some potential pitfalls in emotion visualization which could lead to psychological or physical harm, miscommunication, and disempowerment. Then, some countermeasures are proposed and discussed--including some level of control over what is visualized and provision of suitably rich emotional information comprising intentions--toward facilitating a future in which emotion visualization could contribute toward people's well-being. The scenarios presented here are not limited to web technologies, since one typically thinks about emotion recognition primarily in the context of direct contact. However, as interfaces develop beyond today's keyboard and monitor, more information becomes available also at a distance--for example, speech-to-text software could evolve to annotate any dictated text with a speaker's emotional state.

Place, publisher, year, edition, pages
New York, NY: ACM Publications, 2018. p. 1563-1566
Keywords [en]
Affective computing, emotion visualization, Black Mirror, privacy, ethics, intention recognition
National Category
Robotics
Identifiers
URN: urn:nbn:se:hh:diva-37664DOI: 10.1145/3184558.3191611OAI: oai:DiVA.org:hh-37664DiVA, id: diva2:1235482
Conference
The Web Conference 2018 (WWW '18), Lyon, France, April 23-27, 2018
Projects
CAISR 2010/0271
Funder
Knowledge Foundation, CAISR 2010/0271
Note

Funding: Swedish Knowledge Foundation (CAISR 2010/0271 and Sidus AIR no. 20140220)

Available from: 2018-07-25 Created: 2018-07-25 Last updated: 2018-07-26Bibliographically approved

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Cooney, MartinPashami, SepidehPinheiro Sant'Anna, AnitaFan, YuantaoNowaczyk, Sławomir
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