IDEAS home Printed from https://ideas.repec.org/a/zbw/iprjir/254268.html
   My bibliography  Save this article

Artificial emotional intelligence beyond East and West

Author

Listed:
  • White, Daniel
  • Katsuno, Hirofumi

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.

Suggested Citation

  • White, Daniel & Katsuno, Hirofumi, 2022. "Artificial emotional intelligence beyond East and West," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 11(1), pages 1-17.
    • Handle: RePEc:zbw:iprjir:254268
    DOI: 10.14763/2022.1.1618
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/254268/1/1801292299.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.14763/2022.1.1618?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Tuan Le Mau & Katie Hoemann & Sam H. Lyons & Jennifer M. B. Fugate & Emery N. Brown & Maria Gendron & Lisa Feldman Barrett, 2021. "Professional actors demonstrate variability, not stereotypical expressions, when portraying emotional states in photographs," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Srishti Goel & Julian Jara-Ettinger & Desmond C. Ong & Maria Gendron, 2024. "Face and context integration in emotion inference is limited and variable across categories and individuals," Nature Communications, Nature, vol. 15(1), pages 1-17, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:iprjir:254268. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://policyreview.info/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.