Enhancing textile heritage engagement through generative AI-based virtual assistants in virtual reality museums

Pakinee Ariya , Songpon Khanchai , Kannikar Intawong , Kitti Puritat
{"title":"Enhancing textile heritage engagement through generative AI-based virtual assistants in virtual reality museums","authors":"Pakinee Ariya ,&nbsp;Songpon Khanchai ,&nbsp;Kannikar Intawong ,&nbsp;Kitti Puritat","doi":"10.1016/j.cexr.2025.100112","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates how generative AI-based virtual assistants embedded within immersive virtual reality (VR) environments can enhance user engagement and cultural learning in virtual museums. Situated at the Wieng Yong House Museum in Thailand, the research addresses the challenge of preserving and promoting textile heritage in the digital age. The study aims to design, implement, and evaluate an AI-driven virtual docent capable of delivering personalized, multilingual, and real-time cultural information through interactive voice-based engagement. Using a purposive sampling technique, 25 university students participated in a convergent parallel mixed-methods study combining structured questionnaires and open-ended feedback. Quantitative findings from structured questionnaires revealed high user satisfaction, with mean scores of 4.40 for visual quality and 4.20 for ease of interaction, while response latency and voice clarity received lower ratings of 3.36 and 3.62 respectively, indicating areas for improvement. Qualitative analysis revealed four key themes: user experience with the system, communication quality, response effectiveness, and suggestions for improvement. The results demonstrate both the transformative potential and current limitations of generative AI in digital heritage settings. This study contributes to the development of more inclusive and engaging virtual museum experiences for the teaching and learning of cultural heritage, offering practical design insights for educators, curators, and developers.</div></div>","PeriodicalId":100320,"journal":{"name":"Computers & Education: X Reality","volume":"7 ","pages":"Article 100112"},"PeriodicalIF":0.0000,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Education: X Reality","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949678025000200","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This study investigates how generative AI-based virtual assistants embedded within immersive virtual reality (VR) environments can enhance user engagement and cultural learning in virtual museums. Situated at the Wieng Yong House Museum in Thailand, the research addresses the challenge of preserving and promoting textile heritage in the digital age. The study aims to design, implement, and evaluate an AI-driven virtual docent capable of delivering personalized, multilingual, and real-time cultural information through interactive voice-based engagement. Using a purposive sampling technique, 25 university students participated in a convergent parallel mixed-methods study combining structured questionnaires and open-ended feedback. Quantitative findings from structured questionnaires revealed high user satisfaction, with mean scores of 4.40 for visual quality and 4.20 for ease of interaction, while response latency and voice clarity received lower ratings of 3.36 and 3.62 respectively, indicating areas for improvement. Qualitative analysis revealed four key themes: user experience with the system, communication quality, response effectiveness, and suggestions for improvement. The results demonstrate both the transformative potential and current limitations of generative AI in digital heritage settings. This study contributes to the development of more inclusive and engaging virtual museum experiences for the teaching and learning of cultural heritage, offering practical design insights for educators, curators, and developers.
通过虚拟现实博物馆中基于生成人工智能的虚拟助手增强纺织品遗产参与
本研究探讨了嵌入在沉浸式虚拟现实(VR)环境中的基于生成人工智能的虚拟助手如何提高虚拟博物馆的用户参与度和文化学习。该研究位于泰国的永宅博物馆,旨在解决在数字时代保护和促进纺织品遗产的挑战。该研究旨在设计、实施和评估一种人工智能驱动的虚拟讲解员,该讲解员能够通过基于语音的交互式参与提供个性化、多语言和实时的文化信息。采用有目的的抽样方法,对25名大学生进行了结构化问卷和开放式反馈相结合的趋同平行混合方法研究。结构化问卷的定量调查结果显示,用户满意度很高,视觉质量的平均得分为4.40,交互易用性的平均得分为4.20,而响应延迟和语音清晰度的评分较低,分别为3.36和3.62,表明了需要改进的领域。定性分析揭示了四个关键主题:系统的用户体验、沟通质量、响应效率和改进建议。研究结果显示了生成式人工智能在数字遗产环境中的变革潜力和当前的局限性。这项研究有助于开发更具包容性和吸引力的虚拟博物馆体验,用于文化遗产的教学和学习,为教育工作者、策展人和开发者提供实用的设计见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信