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Affective computing technology for fostering an emotionally healthy workplace

Pamela Lirio (School of Industrial Relations, Universite de Montreal, Montreal, Canada)
Pierrich Plusquellec (Department of Psychoeducation, Universite de Montreal, Montreal, Canada)

Strategic HR Review

ISSN: 1475-4398

Article publication date: 10 May 2023

Issue publication date: 27 July 2023

208

Abstract

Purpose

This paper aims to present affective computing or Emotion AI in the context of work and how organizational leaders such as managers and human resource (HR) professionals can implement this technology to foster an emotionally healthy workplace.

Design/methodology/approach

The authors provide a current overview of affective computing technology through definitions, examples and general use cases. This is in light of the current scrutiny on artificial intelligence (AI) use broadly across society. The authors address this from a research perspective and show how this advanced AI tool can be implemented in organizations for the benefit of employees.

Findings

Affective computing or Emotion AI is still relatively unknown, and yet, it is already part of our daily lives. Emotion AI platforms have the potential to be an essential part of HR tools. It is crucial, however, to use this technology in an ethical and responsible manner.

Originality/value

There is little awareness and understanding of use cases of affective computing tools in organizations, particularly for the well-being of the workforce. This paper provides HR leaders, managers and researchers with an overview of the origins of the field and major considerations for responsibly implementing Emotion AI to support employee mental health.

Keywords

Acknowledgements

The authors acknowledge support from the Ministère de l'Économie, de la Science et de l'Innovation–Québec (Grant #21-24-PSOv2a-53334).

Citation

Lirio, P. and Plusquellec, P. (2023), "Affective computing technology for fostering an emotionally healthy workplace", Strategic HR Review, Vol. 22 No. 4, pp. 121-125. https://doi.org/10.1108/SHR-04-2023-0024

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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