抄録
We have proposed SenseChair, an office chair-shaped sensing device that enables to detect body sway actions of a sitting user by using its embedded four pressure sensors for estimation of user’s situation and condition. In this paper, we propose a novel method to detect physical synchrony among multiple sitting users during a conversation by using multiple SenseChairs. We acquired data from a group conversation experiment employing idea generation task. A short-time frequency analysis with Hanning window function was carried out to extract the short-time frequency data of each participant’s body sway during the group conversation. We calculated the value of synchrony from the sway data of when all participants’ movement were synchronized in the frequency-domain. Results showed that the value of synchrony when the ideas were generated was significantly higher than the other times. Further, we found a significant association between the calculated value of synchrony and the quantity and quality of ideas, and participant’s subjective feelings rated by post-conversation questionnaires. These results support feasibility of an automatic detection of synchrony among multiple users from their synchronized sway behaviors.
