Development of an LLM-Based Chatbot to Support Learnability in Stardew Valley: A Diary Study Approach

要旨

The video gaming industry offers richer experiences through increasingly complex game mechanics, often hindering learnability. This research explores integrating an LLM-based chatbot, “Daisy,” in Stardew Valley, a narrative-rich role-playing game where learnability is critical. Over three weeks, 24 participants—14 new and 10 experienced players—engaged in a diary study and post-interviews. Analysis of diaries, chat logs, gameplay videos, and interviews revealed three themes: seeking information support, playing with chatbots, and addressing practical challenges. Findings show Daisy’s potential to enhance learnability through natural conversations, fostering immersion and emotional engagement, though issues like hallucinations and context awareness require improvement. This work highlights preliminary insights for integrating LLMs into narrative-rich games.

著者
Jungmin Lee
Yonsei University, Seoul, Korea, Republic of
Seoyoung Yoon
Yonsei University, Seoul, Korea, Republic of
Hwajin Shim
Yonsei University, Seoul, Korea, Republic of
Youngjae Yoo
Yonsei University, Seoul, Korea, Republic of
DOI

10.1145/3706598.3713310

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713310

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: Technology in Education and Academic Practice

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5 件の発表
2025-04-30 23:10:00
2025-05-01 00:40:00
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