Michelle Dawson posts

Post published on Bluesky on 17 Sep 2024 12:21

Bluesky DOI work crossref Extract quoted in the post External link integrated into the post Autism terms

1 integrated reply by Michelle Dawson

17 Sep 2024 12:22

Note: "even referring to the technologies as emotion recognition, emotion(al) AI, or affective computing, misrepresents the capabilities of the technologies, which are not based on emotion or affect, but rather on surface-level indicators of expression"

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DOI work Fetched Post crossref

Amelia Katirai (2025). Autism and emotion recognition technologies in the workplace. Autism, 29(3), 554-565. SAGE Publications.

Publication date
16 Sep 2024
Identifier
10.1177/13623613241279704
Authors
Amelia Katirai
Source
Autism
Details
29(3), 554-565
Reference type
article
Publisher
SAGE Publications
Metadata source
crossref

Abstract

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. Lay abstract Technologies using artificial intelligence to recognize people’s emotional states are increasingly being developed under the name of emotional recognition technologies. Emotion recognition technologies claim to identify people’s emotional states based on data, like facial expressions. This is despite research providing counterevidence that emotion recognition technologies are founded on bad science and that it is not possible to correctly identify people’s emotions in this way. The use of emotion recognition technologies is widespread, and they can be harmful when they are used in the workplace, especially for autistic workers. Although previous research has shown that the origins of emotion recognition technologies relied on autistic people, there has been little research on the impact of emotion recognition technologies on autistic people when it is used in the workplace. Through a review of recent academic studies, this article looks at the development and implementation processes of emotion recognition technologies to show how autistic people in particular may be disadvantaged or harmed by the development and use of the technologies. This article closes with a call for more research on autistic people’s perception of the technologies and their impact, with involvement from diverse participants.

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