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Evaluating Usability and Engagement of Large Language Models in Virtual Reality for Traditional Scottish Curling

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arxiv 2408.09285 v2 pith:AWPKRKOD submitted 2024-08-17 cs.HC cs.AI

classification cs.HCcs.AI
keywords culturalheritagechatbotseducationengagementscottishapplicationcurling
verification ladder T0 review T1 audit T2 compute T3 formal
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This paper explores the innovative application of Large Language Models (LLMs) in Virtual Reality (VR) environments to promote heritage education, focusing on traditional Scottish curling presented in the game ``Scottish Bonspiel VR''. Our study compares the effectiveness of LLM-based chatbots with pre-defined scripted chatbots, evaluating key criteria such as usability, user engagement, and learning outcomes. The results show that LLM-based chatbots significantly improve interactivity and engagement, creating a more dynamic and immersive learning environment. This integration helps document and preserve cultural heritage and enhances dissemination processes, which are crucial for safeguarding intangible cultural heritage (ICH) amid environmental changes. Furthermore, the study highlights the potential of novel technologies in education to provide immersive experiences that foster a deeper appreciation of cultural heritage. These findings support the wider application of LLMs and VR in cultural education to address global challenges and promote sustainable practices to preserve and enhance cultural heritage.

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  1. Adaptive Gen-AI Guidance in Virtual Reality: A Multimodal Exploration of Engagement in Neapolitan Pizza-Making

    cs.HC 2024-11 conditional novelty 5.0 of 10

    Moderate adaptive AI guidance in VR pizza-making increased gaze on the tutor and reduced head movement versus a non-adaptive baseline.

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