ERIC Number: EJ1465528
Record Type: Journal
Publication Date: 2025-Mar
Pages: 12
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1362-3613
EISSN: EISSN-1461-7005
Available Date: 0000-00-00
Autism and Emotion Recognition Technologies in the Workplace
Autism: The International Journal of Research and Practice, v29 n3 p554-565 2025
The use of emotion recognition technologies in the workplace is expanding. These technologies claim to provide insights into internal emotional states based on external cues like facial expressions. Despite interconnections between autism and the development of emotion recognition technologies as reported in prior research, little attention has been paid to the particular issues that arise for autistic individuals when emotion recognition technologies are implemented in consequential settings like the workplace. This article examines recent literature on autism and on emotion recognition technologies to argue that the risks of the use of emotion recognition technologies in the workplace are heightened for autistic people. Following a brief overview of emotion recognition technologies, this argument is made by focusing on the issues that arise through the development and deployment of emotion recognition technologies. Issues related to the development of emotion recognition technologies include fundamental problems with the science behind the technologies, the underrepresentation of autistic individuals in data sets and the problems with increasing this representation, and annotation of the training data for the technologies. Issues related to implementation include the invasive nature of emotion recognition technologies, the sensitivity of the data used, and the imposition of neurotypical norms on autistic workers through their use. The article closes with a call for future research on the implications of these emergent technologies for autistic individuals.
Descriptors: Autism Spectrum Disorders, Psychological Patterns, Technology, Work Environment, Recognition (Psychology), Disproportionate Representation, Artificial Intelligence
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Publication Type: Journal Articles; Information Analyses
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A