A paper authored by IMAGAWA Taketo (2nd-year Master’s student), KUROKOCHI Atsuto (1st-year Master’s student), YANAGII Koki (1st-year Master’s student), and Professor KOBAYASHII Minoru from Frontier Media Science Program, Graduate School of Advanced Mathematical Sciences, together with Professor ISO Kazuyuki from Tokyo Information Design Professional University, IHARA MASAYUKI from RIKEN, received the Best Paper Award at The 31st International Conference on Collaboration Technologies and Social Computing (CollabTech 2025), held from November 4 to 7, 2025, in Indonesia.
This award recognizes particularly outstanding papers presented at the international CollabTech conference.
Paper Title: "What Makes Turn-Taking Smooth? Analysis of Gaze Behavior during a Multitasking Videoconference"
In this study, we analyzed gaze behavior during three meeting conditions, in-person, audio, and video meetings, and two multitasking tasks, document browsing and chat replying, to find out the cues for smooth turn-taking. We analyzed the next speaker’s gaze direction just before taking a turn after speech contention or silence occurred. The result suggested that just before taking a turn after speech contention, the next speaker tends to gaze at the document or chat rather than at other participants, and after silence, the gaze direction is distributed. Based on these findings, we discuss the implications for facilitating smooth turn-taking in a multitasking videoconference.