Article
Version 1
Preserved in Portico This version is not peer-reviewed
Evaluating Influencing Factors of Visitor Experience in Offline Art Exhibitions
Version 1
: Received: 12 October 2023 / Approved: 12 October 2023 / Online: 13 October 2023 (16:45:29 CEST)
How to cite: Cheng, L.; Xu, J.; Pan, Y. Evaluating Influencing Factors of Visitor Experience in Offline Art Exhibitions. Preprints 2023, 2023100845. https://doi.org/10.20944/preprints202310.0845.v1 Cheng, L.; Xu, J.; Pan, Y. Evaluating Influencing Factors of Visitor Experience in Offline Art Exhibitions. Preprints 2023, 2023100845. https://doi.org/10.20944/preprints202310.0845.v1
Abstract
Art organizations are increasingly focusing on enhancing the visitor experience to attract a wider audience. The aim objective of this study was to explore the key factors that influence the visitor experience of offline art exhibitions and to use a mixed methods to data collection and analysis. The research process was divided into three stages. In the first stage, we conducted semi-structured interviews with 12 respondents by dividing the exhibition experience into three time periods: pre, during, and post-visit. We extracted seven factors affecting visitor experience through qualitative content analysis including marketing, motivation, physical environment, exhibit quality, participation, technology and service facilities; in the second stage, we developed an assessment scale and pretested it; in the third stage, we collected 725 questionnaires to validate the factors of visitor experience in art exhibitions. The results of linear regression analyses showed that all seven key factors had a significant impact on visitor experience. This study constructed a scale to assess the factors of art exhibition experience, which provides theoretical sup-port for in-depth study of art exhibition experience and useful guidance for planning and design-ing art exhibitions to improve the quality of visitors' experience of art exhibitions.
Keywords
offline art exhibitions; visitor experience; influencing factors; mixed methods; multiple linear regression
Subject
Arts and Humanities, Art
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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