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A STUDY ON THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN INTERACTIVE MUSEUM DISPLAYS AND VISITOR PERCEPTION

Chia-Hung Kung

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Pang-Soong Lin

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Asia University, College of Creative Design,

Department of Digital Media Design, Taiwan, R. O. C

Abstract

This study aims to explore the application of artificial intelligence (AI) in interactive museum displays and its impact on visitor perception. With the rapid advancement of technology, museums are gradually incorporating AI technology to enhance visitor experiences, providing more diverse and personalized interactive content. However, how these technologies affect visitor perception and overall experience still requires in-depth research. To address this issue, this study systematically collected expert opinions and employed the KANO model for classification and analysis. Firstly, through expert interviews and literature review, this study identified key dimensions, including interactivity, educational value, immersion, entertainment, and satisfaction. These dimensions reflect the critical perceptual factors of visitors when engaging with AI-driven interactive displays. Subsequently, this study utilized the Evaluation Grid Method (EGM) to refine and assess these dimensions, ensuring the comprehensiveness and depth of the research. During the research process, experts provided valuable insights and suggestions, helping to further understand the practical applications and challenges of AI technology in museum displays. Following this, the study used the KANO model to classify these dimensions, identifying which attributes have a decisive impact on visitor satisfaction. Through this process, the study will analyze the key factors of AI technology in enhancing visitor interactive experiences. This study provides valuable insights for museum managers and designers, helping them more effectively apply AI technology in future exhibit designs to enhance overall visitor experiences. By deeply understanding the application of AI technology in museums and its impact on visitor perception, museums can more effectively attract and retain audiences, achieving both educational and entertainment goals. 

Keywords: Artificial Intelligence, Museum, Interactive Design, Evaluation Grid Method, KANO Two-Dimensional Quality Mode