IDEAS home Printed from https://ideas.repec.org/p/hal/gemptp/hal-05491924.html

Beyond the Screen: Memory-Based Mechanisms and Personal Innovativeness in Voice Assistant Use

Author

Listed:
  • Jean-Charles Pillet

    (TBS - Toulouse Business School)

  • Kevin Carillo

    (TBS - Toulouse Business School)

  • Claudio Vitari

    (CERGAM - Centre d'Études et de Recherche en Gestion d'Aix-Marseille - AMU - Aix Marseille Université - UTLN - Université de Toulon)

  • Federico Pigni

    (EESC-GEM - Grenoble Ecole de Management)

Abstract

This study investigates how the mental retrieval of IT features influences innovative use behaviors with voice-activated devices (VADs). We conceptualize two memory-based constructs-IT feature recognition and IT feature recall-and examine their complex interplay. We theorize that their influence is moderated by users' personal innovativeness. Using a survey of 319 smart speaker owners, we found that both recognition and recall enhance innovative use, but their effects differ significantly based on an individual's disposition to innovate with IT. For users with high innovativeness, IT feature recognition drives innovation, while for those with low innovativeness, both recall and recognition contribute. These findings suggest that memory-based mechanisms are critical enablers of innovative use, highlighting the need for interfaces that support memory cues to foster broader feature utilization and innovative outcomes in voice-based interfaces.

Suggested Citation

  • Jean-Charles Pillet & Kevin Carillo & Claudio Vitari & Federico Pigni, 2026. "Beyond the Screen: Memory-Based Mechanisms and Personal Innovativeness in Voice Assistant Use," Grenoble Ecole de Management (Post-Print) hal-05491924, HAL.
    • Handle: RePEc:hal:gemptp:hal-05491924
    Note: View the original document on HAL open archive server: https://hal.science/hal-05491924v1
    as

    Download full text from publisher

    File URL: https://hal.science/hal-05491924v1/document
    Download Restriction: no
    ---><---

    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:gemptp:hal-05491924. 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.