Support Autonomy: Exploring Player Perspectives on AI-Supported Onboarding in Video Games

Lydia Choong, Sebastian Cmentowski, Eugene Kukshinov, Joseph Tu, Lennart E. Nacke

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    Abstract

    Video game onboarding faces the challenge of teaching game mechanics in a fun and engaging way. Artificial intelligence (AI) solutions have become a quick fix to help users understand technology. However, little is known about how AI supports player onboarding in video games. To address this knowledge gap, this research explores player perspectives on AI-supported onboarding. We conducted a qualitative user study (n=20) to investigate player expectations, attitudes, and concerns about AI-supported learning experiences. Players learn primarily through the lived experience of a game and value personalized guidance during onboarding. Participants emphasized the importance of maintaining control over how AI is used during onboarding and the freedom to choose their support level. Our results suggest that players want future AI-supported onboarding systems to prioritize their agency, encourage active learning, and maintain transparency throughout the learning process. We contribute to game design research by proposing balanced, player-centric AI-supported onboarding experiences in video games.
    Original languageEnglish
    Title of host publicationCHI '25
    Subtitle of host publicationProceedings of the 2025 CHI Conference on Human Factors in Computing Systems
    EditorsNaomi Yamashita, Vanessa Evers, Koji Yatani, Xianghua (Sharon) Ding, Bongshin Lee, Marshini Chetty, Phoebe Toups-Dugas
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery, Inc.
    Number of pages17
    ISBN (Electronic)979-8-4007-1394-1
    DOIs
    Publication statusPublished - 25 Apr 2025
    EventACM CHI 2025 Conference on Human Factors in Computing Systems - Yokohama, Japan
    Duration: 26 Apr 20251 May 2025
    https://chi2025.acm.org/

    Conference

    ConferenceACM CHI 2025 Conference on Human Factors in Computing Systems
    Abbreviated titleCHI2025
    Country/TerritoryJapan
    CityYokohama
    Period26/04/251/05/25
    Internet address

    Funding

    This study was supported by the SSHRC Insight Grant (435-2022-0476), the NSERC Discovery Grant (RGPIN-2023-03705), the CFI John R. Evans Leaders Fund (41844), the Lupina Foundation Postdoctoral Research Fellowship, and the Provost's Program for Interdisciplinary Postdoctoral Scholars at the University of Waterloo. We thank the Games Institute for their generous support in providing the space necessary for this work.

    Keywords

    • artificial intelligence
    • onboarding
    • player experience
    • video games

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