Abstract
This research investigates the role of artificial intelligence (AI) in augmenting the engagement of diverse museum visitors and enhancing their overall experience within historical museum settings. The objective of this research is to explore the extent to which AI can effectively cater to the diverse preferences and needs of visitors, thereby fostering a more engaging and immersive museum experience. Utilizing a mixed-method design, qualitative insights are obtained through detailed case studies of select museums in Tehran that have successfully integrated AI technologies, including AI tour guides. Visitor interviews are conducted to capture experiential narratives and perceptions. Quantitative information is gathered through eye-tracking that assesses the engagement of visitors to museum materials. Findings underscore that AI-powered tour guides have the potential to elevate visitor experience by delivering personalized content, enabling interactive learning encounters, and introducing innovative avenues for knowledge enrichment. The study reveals that AI’s adaptability plays a pivotal role in heightening engagement and customization. Nonetheless, the research also identifies challenges associated with data privacy concerns, highlighting the need for vigilant consideration. In conclusion, the research affirms the transformative capabilities of AI in redefining museums as adaptive, visitor-centered spaces. It underscores the potential of AI to facilitate immersive and personalized experiences, fostering deeper engagement and understanding. However, successful integration of AI demands a meticulous approach, taking into account ethical, privacy, and technological considerations.
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
ARTIFICIAL INTELLIGENCE, EYE TRACKING, AI MUSEUM GUIDE
