Generating Reflective Questions for Engaging Gallery Visitors in ArtMuse
Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng
Abstract
Human guides in museums and galleries are professionally trained to stimulate informal learning in visitors by asking low-risk, open-ended reflective questions that enable them to focus on specific features of artifacts, relate to prior experiences, and elicit curiosity as well as further thought. We present ArtMuse, our AI-powered chatbot for asking reflective questions in context of paintings. Our reflective question generation model in ArtMuse was trained by applying a novel combination of existing models for extractive question answering and open-domain chitchat. User evaluation studies indicate that we are able to generate fluent and specific reflective questions for paintings that are highly-engaging.
BibTeX
@article{Gollapalli_Du_Ng_2024, title={Generating Reflective Questions for Engaging Gallery Visitors in ArtMuse}, volume={37}, url={https://ojs.aaai.org/index.php/AAAI/article/view/27070}, DOI={10.1609/aaai.v37i13.27070}, abstractNote={Human guides in museums and galleries are professionally trained to stimulate informal learning in visitors by asking low-risk, open-ended reflective questions
that enable them to
focus on specific features of artifacts, relate to prior experiences, and elicit curiosity as well as further thought. We present ArtMuse, our AI-powered chatbot for asking reflective questions in context of paintings. Our reflective question generation model in ArtMuse
was trained by applying a
novel combination of existing models for
extractive question answering and open-domain chitchat. User evaluation studies indicate that we are able to generate fluent and specific reflective questions for paintings that are highly-engaging.}, number={13}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Gollapalli, Sujatha Das and Du, Mingzhe and Ng, See-Kiong}, year={2024}, month={Jul.}, pages={16434-16436} }