TY - GEN
T1 - Exploring User Preferences for Museum Guides
T2 - 2025 CHI Conference on Human Factors in Computing Systems, CHI EA 2025
AU - Chen, Bingqing
AU - Wen, Ruoyu
AU - Tan, Shufang
AU - Li, Yue
N1 - Publisher Copyright:
© 2025 Copyright held by the owner/author(s).
PY - 2025/4/26
Y1 - 2025/4/26
N2 - Museums are increasingly using chatbots to transform passive visits into interactive experiences, leveraging advancements in Large Language Models (LLMs) for more engaging interactions. However, design guidelines for chatbot roles and interactions tailored to user preferences in museum contexts remain underexplored. To address this, we conducted an online survey with 65 participants, examining preferred chatbot roles and their relationship to artifact characteristics. Participants strongly favored chatbots using a first-person narrative as artifact creators, appreciating their empathetic, immersive, and novel perspectives. The user perceptions of chatbot roles are also found to be influenced by artifact characteristics, including artifact category, its popularity, and whether it depicts human or animal figures. However, concerns about the authenticity and ethical representation of historical figures emerged. These findings provide valuable insights for designing engaging and culturally sensitive chatbot interactions in museums.
AB - Museums are increasingly using chatbots to transform passive visits into interactive experiences, leveraging advancements in Large Language Models (LLMs) for more engaging interactions. However, design guidelines for chatbot roles and interactions tailored to user preferences in museum contexts remain underexplored. To address this, we conducted an online survey with 65 participants, examining preferred chatbot roles and their relationship to artifact characteristics. Participants strongly favored chatbots using a first-person narrative as artifact creators, appreciating their empathetic, immersive, and novel perspectives. The user perceptions of chatbot roles are also found to be influenced by artifact characteristics, including artifact category, its popularity, and whether it depicts human or animal figures. However, concerns about the authenticity and ethical representation of historical figures emerged. These findings provide valuable insights for designing engaging and culturally sensitive chatbot interactions in museums.
KW - Large Language Models (LLMs)
KW - Museum chatbots
KW - chatbot roles
KW - interactive museum experiences
KW - user preferences
UR - http://www.scopus.com/inward/record.url?scp=105005761305&partnerID=8YFLogxK
U2 - 10.1145/3706599.3720067
DO - 10.1145/3706599.3720067
M3 - Conference Proceeding
SN - 9798400713958
T3 - Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
SP - 1
EP - 8
BT - CHI EA 2025 - Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery (ACM)
CY - Yokohama Japan
Y2 - 26 April 2025 through 1 May 2025
ER -