IDEAS home Printed from https://ideas.repec.org/a/gam/jsoctx/v14y2024i10p200-d1494240.html
   My bibliography  Save this article

Digital Mirrors: AI Companions and the Self

Author

Listed:
  • Theodoros Kouros

    (Department of Communication and Internet Studies, Cyprus University of Technology, 3036 Limassol, Cyprus)

  • Venetia Papa

    (Department of Communication and Internet Studies, Cyprus University of Technology, 3036 Limassol, Cyprus)

Abstract

This exploratory study examines the socio-technical dynamics of Artificial Intelligence Companions (AICs), focusing on user interactions with AI platforms like Replika 9.35.1. Through qualitative analysis, including user interviews and digital ethnography, we explored the nuanced roles played by these AIs in social interactions. Findings revealed that users often form emotional attachments to their AICs, viewing them as empathetic and supportive, thus enhancing emotional well-being. This study highlights how AI companions provide a safe space for self-expression and identity exploration, often without fear of judgment, offering a backstage setting in Goffmanian terms. This research contributes to the discourse on AI’s societal integration, emphasizing how, in interactions with AICs, users often craft and experiment with their identities by acting in ways they would avoid in face-to-face or human-human online interactions due to fear of judgment. This reflects front-stage behavior, in which users manage audience perceptions. Conversely, the backstage, typically hidden, is somewhat disclosed to AICs, revealing deeper aspects of the self.

Suggested Citation

  • Theodoros Kouros & Venetia Papa, 2024. "Digital Mirrors: AI Companions and the Self," Societies, MDPI, vol. 14(10), pages 1-18, October.
  • Handle: RePEc:gam:jsoctx:v:14:y:2024:i:10:p:200-:d:1494240
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2075-4698/14/10/200/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2075-4698/14/10/200/
    Download Restriction: no
    ---><---

    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:gam:jsoctx:v:14:y:2024:i:10:p:200-:d:1494240. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.