Author Information
Shi-Liang Chang, National Yunlin University of Science and Technology, TaiwanWen-Huei Chou, National Yunlin University of Science and Technology, Taiwan
Abstract
Chatbots have increasingly gained popularity in museums and exhibitions, enhancing visitors' self-guided tour experiences. Compared to traditional tours, chatbots offer more personalized interactions, providing new version to the exhibition. This study, taking the YunTech Sustainable Expo as a case, explores whether visitors with varying levels of technological experience require more guided experiences on Chatbot-guide. Employing survey research through the Facebook Messenger platform to integrate chatbots, the sample consisted of visitors who have used Messenger and visited the exhibition. A total of 148 questionnaires were collected, analyzed descriptively, and subjected to t-tests. The reliability analysis of the questionnaire showed a Cronbach's alpha of 0.832, indicating high reliability, and factor analysis revealed two main factors: satisfaction with effectiveness and interactive experience. The guide chatbot can enhance interactive experience and satisfaction. The system design is reasonable and easy to use, but operational procedures and interface design need optimization, including enhanced guidance for beginners and real-time help features. In providing more exhibition information, it is essential to balance the amount of information to meet the needs of most visitors. It is recommended to offer personalized options, use AI and machine learning technologies to optimize response accuracy and interactivity, add multimedia content to enhance visual and auditory experiences. For neutral and dissatisfied visitors, further investigation into their needs is necessary for targeted improvements, continuously optimizing system functions and improving service quality to gradually increase overall user satisfaction.
Paper Information
Conference: ACSS2024Stream: Computational Social Science
This paper is part of the ACSS2024 Conference Proceedings (View)
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To cite this article:
Chang S., & Chou W. (2024) UX Research on Chabot-Guided Tours: A Case Study of the YunTech USR Exhibition ISSN: 2186-2303 – The Asian Conference on the Social Sciences 2024: Official Conference Proceedings (pp. 745-754) https://doi.org/10.22492/issn.2186-2303.2024.63
To link to this article: https://doi.org/10.22492/issn.2186-2303.2024.63
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