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

要旨

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.

著者
Lydia Choong
University of Waterloo, Waterloo, Ontario, Canada
Sebastian Cmentowski
Eindhoven University of Technology, Eindhoven, Netherlands
Eugene Kukshinov
University of Waterloo, Waterloo, Ontario, Canada
Joseph Tu
University of Waterloo, Waterloo, Ontario, Canada
Lennart E.. Nacke
University of Waterloo, Waterloo, Ontario, Canada
DOI

10.1145/3706598.3713576

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713576

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Game Experience

Annex Hall F205
7 件の発表
2025-05-01 01:20:00
2025-05-01 02:50:00
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