IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-03188233.html
   My bibliography  Save this paper

Can AI artifacts influence human cognition? The effects of artificial autonomy in intelligent personal assistants

Author

Listed:
  • Qian Hu

    (HUST - Huazhong University of Science and Technology [Wuhan])

  • Yaobin Lu

    (HUST - Huazhong University of Science and Technology [Wuhan])

  • Zhao Pan

    (HUST - Huazhong University of Science and Technology [Wuhan])

  • Yeming Gong

    (EM - EMLyon Business School)

  • Zhiling Yang

    (CUHK - City University of Hong Kong [Hong Kong])

Abstract

In the era of the Internet of Things (IoT), emerging artificial intelligence (AI) technologies provide various artificial autonomy features that allow intelligent personal assistants (IPAs) to assist users in managing the dynamically expanding applications, devices, and services in their daily lives. However, limited academic research has been done to validate empirically artificial autonomy and its downstream consequences on human behavior. This study investigates the role of artificial autonomy by dividing it into three types of autonomy in terms of task primitives, namely, sensing, thought, and action autonomy. Drawing on mind perception theory, the authors hypothesize that the two fundamental dimensions of humanlike perceptions—competence and warmth—of non-human entities could explain the mechanism between artificial autonomy and IPA usage. Our results reveal that the comparative effects of competence and warmth perception exist when artificial autonomy contributes to users' continuance usage intention. Theoretically, this study increases our understanding of AI-enabled artificial autonomy in information systems research. These findings also provide insightful suggestions for practitioners regarding AI artifacts design.

Suggested Citation

  • Qian Hu & Yaobin Lu & Zhao Pan & Yeming Gong & Zhiling Yang, 2021. "Can AI artifacts influence human cognition? The effects of artificial autonomy in intelligent personal assistants," Post-Print hal-03188233, HAL.
    • Handle: RePEc:hal:journl:hal-03188233
    DOI: 10.1016/j.ijinfomgt.2020.102250
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;

    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:hal:journl:hal-03188233. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.