Host: The Japanese Society for Artificial Intelligence
Name : The 33rd Annual Conference of the Japanese Society for Artificial Intelligence, 2019
Number : 33
Location : [in Japanese]
Date : June 04, 2019 - June 07, 2019
In performing arts like dance and music performance, performers interact with each other actively and present their fascinating performances to audiences. This study aims to investigate this complicated interaction among performers by applying a prominent theory of communication, synchrony. We conducted a case study to examine the interaction between the dancer and the DJ in the performance scene of breakdance. The results suggested that the dancer and the DJ coordinated their performances in a complicated fashion, like coordinating their movements of multiple body parts and changing their coordination patterns as time proceeds. We suggest the importance to develop the framework and analysis methods of synchrony to fully capture these complicated features of the interaction among performers.