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

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.

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Publication Details

Published
2025-04-24
DOI
https://doi.org/10.1145/3706598.3713576
Primary Topic
Artificial Intelligence in Games
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Joseph Tu, Lennart E. Nacke, Eugene Kukshinov, Sebastian Cmentowski et al.
Artificial Intelligence in Games
article

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

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

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.

University of Waterloo (CA), Eindhoven University of Technology (NL)
Lupina Foundation, University of Waterloo, Natural Sciences and Engineering Research Council of Canada, Social Sciences and Humanities Research Council of Canada
Openalex Percentile: Top 96%
Artificial Intelligence in Games
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