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Experiencing Art Museum with a Generative Artificial Intelligence Chatbot
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0009-0006-2158-8984
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0002-6571-0623
2025 (English)In: IMX 2025 - Proceedings of the 2025 ACM International Conference on Interactive Media Experiences, Association for Computing Machinery (ACM) , 2025, p. 430-436Conference paper, Published paper (Refereed)
Abstract [en]

Generative Artificial Intelligence (GenAI) chatbots start changing experiences with art for museum visitors by making them more interactive and engaging. However, it remains underexplored how GenAI chatbots influence visitors' in-field experience and interaction at art museums regarding finding information, engagement, and enjoyment compared to existing museum tour-guide applications. In this paper, we contribute the design and implementation of a smartphone-based chatbot that detects artwork, generates textual and auditory information, and interactively answers visitors' questions. To explore visitors' experience with it, we conducted a field experiment (N=30) at the National Art Museum, comparing it to the existing museum application. Our results indicate that visitors showed higher artwork engagement with the chatbot than the museum application. Moreover, they enjoyed an interactive experience using the chatbot to learn about the art collection and have equally preferred textual and auditory information representation.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM) , 2025. p. 430-436
Keywords [en]
Chatbot, Generative AI, Museum experience, Tour guide
National Category
Human Computer Interaction Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:kth:diva-368516DOI: 10.1145/3706370.3731650ISI: 001527547700047Scopus ID: 2-s2.0-105007992419OAI: oai:DiVA.org:kth-368516DiVA, id: diva2:1989811
Conference
2025 ACM International Conference on Interactive Media Experiences, IMX 2025, Niteroi, Brazil, Jun 3 2025 - Jun 6 2025
Note

 Part of ISBN 9798400713910

QC 20250818

Available from: 2025-08-18 Created: 2025-08-18 Last updated: 2025-08-18Bibliographically approved

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Wang, HuanMatviienko, Andrii

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf