Legitimating Emotion Tracking Technologies in Driver Monitoring Systems

Contemporary automobiles are now incorporating digital technologies, including emotion recognition technologies intended to monitor and sometimes intervene on the driver’s mood, attentiveness, or emotional state. We investigate how the firms producing these technologies justify and legitimate their design, production, and use, and how these discourses of legitimation paint a picture of the desired social role of emotion recognition in the automotive sector. Through a critical discourse analysis of patents, advertising, and promotional materials from industry-leading companies Cerence and Affectiva/Smart Eye, we argue both companies use potentially spurious arguments about the accuracy of emotion recognition to rationalize their products. Both companies also use a variety of other legitimation techniques around driver safety, individual personalization, and increased productivity to re-frame the social aspects of digitally mediated autonomous vehicles on their terms.

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Publication Details

Journal
Proceedings of the AAAI/ACM Conference on AI Ethics and Society
Published
2024-10-16
DOI
https://doi.org/10.1609/aies.v7i1.31645
Primary Topic
Sentiment Analysis and Opinion Mining
Type
article
Field-Weighted Citation Impact
0.00

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article

Legitimating Emotion Tracking Technologies in Driver Monitoring Systems

Luke Stark, Aaron Doerfler
Proceedings of the AAAI/ACM Conference on AI Ethics and Society
Sentiment Analysis and Opinion Mining
article

Legitimating Emotion Tracking Technologies in Driver Monitoring Systems

Luke Stark, Aaron Doerfler
article en

Abstract

Contemporary automobiles are now incorporating digital technologies, including emotion recognition technologies intended to monitor and sometimes intervene on the driver’s mood, attentiveness, or emotional state. We investigate how the firms producing these technologies justify and legitimate their design, production, and use, and how these discourses of legitimation paint a picture of the desired social role of emotion recognition in the automotive sector. Through a critical discourse analysis of patents, advertising, and promotional materials from industry-leading companies Cerence and Affectiva/Smart Eye, we argue both companies use potentially spurious arguments about the accuracy of emotion recognition to rationalize their products. Both companies also use a variety of other legitimation techniques around driver safety, individual personalization, and increased productivity to re-frame the social aspects of digitally mediated autonomous vehicles on their terms.

Proceedings of the AAAI/ACM Conference on AI Ethics and SocietyVol. 7
Canadian Institute for Advanced Research (CA), Western University (CA)
Canadian Institute for Advanced Research, Social Sciences and Humanities Research Council of Canada
Openalex Percentile: Top 81%
Sentiment Analysis and Opinion Mining
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