Development of an LLM-Based Chatbot to Support Learnability in Stardew Valley: A Diary Study Approach
Year: 2025
Type: conference-paper
Abstract: 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.
Authors: Jungmin Lee, Seoyoung Yoon, Hwajin Shim, Youngjae Yoo
Institution: Yonsei University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4409748318