AMARA: the affective museum of art resource agent

Authors:
S. Joon Park;Gunho Chae;Craig MacDonald;Robert Stein;Susan Wiedenbeck;Jungwha Kim
Affiliations:
Drexel University, Philadelphia, Pennsylvania, USA;KAIST, Daejeon, Republic of Korea;Drexel University, Philadelphia, Pennsylvania, USA;The Indianapolis Museum of Art, Indianapolis, Indiana, USA;Drexel University, Philadelphia, Pennsylvania, USA;KAIST, Daejeon, Republic of Korea
Venue:
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Year:
2012

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Abstract

This interactive system uses an embedded agent for question-based art collection search on the platform of the Indianapolis Museum of Art website. Unlike a keyword search box, AMARA helps users browse and search for artwork by asking them simple questions with answers mapped to social tags. Thus, the users do not need to be subject matter experts to input specific terms to search. In designing AMARA, we focused on creating an enjoyable browsing experience and helping users to determine their known and unknown art preferences.