Sensing of Audience Excitation and Boredom Emotion Based on the Synchrony of Sitting Body Sway

Abstract

SUMMARYMore and more recent studies of emotion estimation have taken the approach of ambient sensing, where users are monitored without constraining their bodies and without being aware of the sensing system. Few of them, however, focus on audience emotions. We attempted to examine audience emotions, which are difficult to estimate when using only individual data, and which come to be estimated more easily when using ambient sensing of synchrony among multiple users. We developed an ambient sensing chair, which employs wireless sensors to determine the center of force of the seated user, and designed an experiment for an audience watching a soccer game on TV or a technical presentation in order to examine the relationship between audience body sway and emotional states in a natural situation. We found that synchrony could be well correlated with audience excitement and boredom, something not observable in the individual data. These results indicate the possibility of development of service marketing systems that evaluate TV content, and feedback systems that give notice of the emotional state of an audience to a presenter. C⃝ 2015 Wiley Periodicals, Inc. Electron Comm Jpn, 98(4): 11-19, 2015; Published online in Wiley Online Library (wileyonlinelibrary.com).

Community detection in real communication using body sway and voice information with ambient sensing chair

“…To improve upon this, the authors developed a chair system in the previous papers [5], [9], [10], called ambient sensing chair, that uses only four pressure sensors, discretely positioned at the bottom of the seat of the chair. These chairs sense the center of pressure of a seated user without constraint and wirelessly transmit data to a server via Bluetooth.…”

“…The body sway synchrony has been applied to estimate affect recognition of sitting users by the authors in the previous paper [5]. The communication channels are divided into three groups: body motion information, vocal information, and facial expression.…”