Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/254268 
Year of Publication: 
2022
Citation: 
[Journal:] Internet Policy Review [ISSN:] 2197-6775 [Volume:] 11 [Issue:] 1 [Publisher:] Alexander von Humboldt Institute for Internet and Society [Place:] Berlin [Year:] 2022 [Pages:] 1-17
Publisher: 
Alexander von Humboldt Institute for Internet and Society, Berlin
Abstract: 
Artificial emotional intelligence refers to technologies that perform, recognise, or record affective states. More than merely a technological function, however, it is also a social process whereby cultural assumptions about what emotions are and how they are made are translated into composites of code, software, and mechanical platforms that operationalise certain models of emotion over others. This essay illustrates how aspects of cultural difference are both incorporated and elided in projects that equip machines with emotional intelligence. It does so by comparing the field of affective computing, which emerged in the North-Atlantic in the 1990s, with kansei (affective) engineering, which developed in Japan in the 1980s. It then leverages this comparison to argue for more diverse applications of the culture concept in both the development and critique of systems with artificial emotional intelligence.
Subjects: 
Artificial intelligence
Affective computing
Emotion
Engineering
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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