Research on Intelligent Service for Smart Museum Users under Artificial Intelligence
Anqi Zhou, Younghwan Pan · Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research · 2024
With the rapid development of artificial intelligence (AI) technology and the rise of the trend of intelligence, smart museums, as an important place for cultural inheritance and educational exchanges, are faced with the challenge and opportunity of how to use AI technology to enhance the user service experience.Starting from user needs, this study constructs a theoretical framework of perceived affordance in the study of intelligent service for users of smart museums through the theory of perceived affordance in the field of human-computer interaction and the method of rooted theory.According to this framework, suggestions for the optimization of smart museum construction and service based on user demand service are proposed, aiming to provide theoretical reference and practical significance for the development of smart museum user intelligent service under artificial intelligence.