Affective computing technology for fostering an emotionally healthy workplace

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...

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Published inStrategic HR review Vol. 22; no. 4; pp. 121 - 125
Main Authors Lirio, Pamela, Plusquellec, Pierrich
Format Journal Article
LanguageEnglish
Published Bingley Emerald Publishing Limited 27.07.2023
Emerald Group Publishing Limited
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ISSN1475-4398
1758-8537
1475-4398
DOI10.1108/SHR-04-2023-0024

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Summary: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.
Bibliography:SourceType-Scholarly Journals-1
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ObjectType-Editorial-2
ObjectType-Commentary-1
ISSN:1475-4398
1758-8537
1475-4398
DOI:10.1108/SHR-04-2023-0024