Research on user experience evaluation model of VR museum

Long Xu; Jiayi Zhao; Dongyuan Liu; Yuxiang Su; Ling Zheng

doi:10.1117/12.2673026

14 April 2023 Research on user experience evaluation model of VR museum

Long Xu, Jiayi Zhao, Dongyuan Liu, Yuxiang Su, Ling Zheng

Proceedings Volume 12612, International Conference on Artificial Intelligence and Industrial Design (AIID 2022); 126120U (2023) https://doi.org/10.1117/12.2673026
Event: International Conference on Artificial Intelligence and Industrial Design (AIID 2022), 2022, Zhuhai, China

Abstract

A model was established to evaluate users' experiences when visiting the virtual reality museum. By using the shadowing survey method (N=6), context mapping (N=10), and expert meetings (N=4), 19 comprehensive experiences and 24 interactions were obtained, and an initial questionnaire model was obtained after summarizing and organizing them with correspondence analysis and cluster analysis. After the experimental evaluation and factor analysis (N=75), a questionnaire containing 14 relevant questions was derived to measure the user's experience in the virtual reality museum. With the development of information networks and virtual reality technology, virtual museums have been created to enable people to break the time and space constraints. While previous research on the museum experience has focused on real museums and virtual reality museum environments and technologies, this questionnaire brings a user perspective to the evaluation that can be used to promote and apply virtual reality museums in the future. The developed questionnaire allows for a comprehensive assessment that will help inform the future VR museum experience.

Citation Download Citation

Long Xu, Jiayi Zhao, Dongyuan Liu, Yuxiang Su, and Ling Zheng "Research on user experience evaluation model of VR museum", Proc. SPIE 12612, International Conference on Artificial Intelligence and Industrial Design (AIID 2022), 126120U (14 April 2023); https://doi.org/10.1117/12.2673026

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available