Creativity Metrics for a Lead-and-Follow Dynamic in an Improvisational Dance Agent
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Author(s)
Kumar, Meha Goyal
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Abstract
Being creative in movement-based improvisational environments, such as dance floors, poses a difficult challenge for computers. LuminAI is an improvisational dance installation where an artificially intelligent agent dances with a user. I enable the agent to judge the creativity of dance gestures through the development of creativity metrics, including the novelty, value, and surprise of a gesture. I then use these metrics to implement a lead-and-follow dynamic: when the user is performing less creatively, the agent tries to lead by performing more creatively. A user study is performed to compare the original and lead-and-follow systems, with results showing users found the lead-and-follow system’s gestures lower in quality than the original, more surprising than the original, and found the original system more engaging and influential on their actions.
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2020-05
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Undergraduate Thesis