SealMates: Supporting Communication in Video Conferencing using a Collective Behavior-Driven Avatar

Mark Armstrong, Chi Lan Yang, Kinga Skiers, Mengzhen Lim, Tamil Selvan Gunasekaran, Ziyue Wang, Takuji Narumi, Kouta Minamizawa, Yun Suen Pai

研究成果: Article査読


The limited nonverbal cues and spatially distributed nature of remote communication make it challenging for unacquainted members to be expressive during social interactions over video conferencing. Though it enables seeing others' facial expressions, the visual feedback can instead lead to unexpected self-focus, resulting in users missing cues for others to engage in the conversation equally. To support expressive communication and equal participation among unacquainted counterparts, we propose SealMates, a behavior-driven avatar in which the avatar infers the engagement level of the group based on collective gaze and speech patterns and then moves across interlocutors' windows in the video conferencing. By conducting a controlled experiment with 15 groups of triads, we found the avatar's movement encouraged people to experience more self-disclosure and made them perceive everyone was equally engaged in the conversation than when there was no behavior-driven avatar. We discuss how a behavior-driven avatar influences distributed members' perceptions and the implications of avatar-mediated communication for future platforms.

ジャーナルProceedings of the ACM on Human-Computer Interaction
出版ステータスPublished - 2024 4月 23

ASJC Scopus subject areas

  • 社会科学(その他)
  • 人間とコンピュータの相互作用
  • コンピュータ ネットワークおよび通信


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