IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v44y2025i16p4136-4152.html
   My bibliography  Save this article

The ‘fourth wall’ and other usability issues in AI-generated personas: comparing chat-based and profile personas

Author

Listed:
  • Ilkka Kaate
  • Joni Salminen
  • Soon-Gyo Jung
  • João M. Santos
  • Essi Häyhänen
  • Trang Xuan
  • Jinan Y. Azem
  • Bernard Jansen

Abstract

Large Language Models (LLMs) are emerging as a powerful tool for AI-generated personas. This study evaluates the usability of AI-generated personas, comparing chat and profile formats. The findings indicate chat personas tend to be perceived more favourably, and profile personas exhibit greater variability in user perception. The increased difficulty and longer dwell time experienced by users with the profile persona, despite negative usability metrics, paradoxically resulted in better task performance. Usability issues indicate that many current limitations of AI, including verbosity, hallucinations, and empty rhetoric which was described as the persona having ‘no soul’, are inherited in AI-generated chat personas. However, there are also new issues. For one, the risk of information overload in an AI-generated profile persona implies that the AI does not consider human users’ cognitive limitations when designing the persona (but usability scores for profile personas increase with dwell time, implying that users get used to the longer format the more time they spend). Another is the ‘fourth wall’ effect of AI-generated chat personas in which the user feels they are talking to someone describing the persona rather than the persona itself. Future work could address the usability paradox and the fourth wall effect of using personas.CCS CONCEPTSHuman-centered computing Human computer interaction (HCI)

Suggested Citation

  • Ilkka Kaate & Joni Salminen & Soon-Gyo Jung & João M. Santos & Essi Häyhänen & Trang Xuan & Jinan Y. Azem & Bernard Jansen, 2025. "The ‘fourth wall’ and other usability issues in AI-generated personas: comparing chat-based and profile personas," Behaviour and Information Technology, Taylor & Francis Journals, vol. 44(16), pages 4136-4152, October.
  • Handle: RePEc:taf:tbitxx:v:44:y:2025:i:16:p:4136-4152
    DOI: 10.1080/0144929X.2025.2469659
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2025.2469659
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0144929X.2025.2469659?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    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:taf:tbitxx:v:44:y:2025:i:16:p:4136-4152. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tbit .

    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.