2026-04-17T22:03:07Z https://ipsj.ixsq.nii.ac.jp/oai

oai:ipsj.ixsq.nii.ac.jp:00236517 2025-01-19T09:13:42Z 6504:11678:11688

Leveraging Acoustic and Motion Signals for Detecting Topic Transitions in VR Meetings Zhankun, Liu 陳, 家東 Chenghao, Gu 張, 佳儀 木實, 新一 ネットワーク With the proliferation of consumer-grade VR devices, remote meetings within virtual environments are becoming increasingly popular. Meeting segmentation can swiftly offer users a valuable, advanced understanding of past meeting discourse while enhancing team communication efficiency in virutual environments. Detecting topic Transitions within VR-based meeting, however, is an extremely difficult task due to the hinderance of non-verval communication in virtual environments. This paper explores the correlation between topic transitions, acoustic features, and changes in bodily posture in virtual environments, and proposes a novel approach that combines acoustic features and posture data for dialogue topic segmentation. conference paper 情報処理学会 2024-03-01 application/pdf 第86回全国大会講演論文集 1 2024 409 410 AN00349328 https://ipsj.ixsq.nii.ac.jp/record/236517/files/IPSJ-Z86-7ZB-01.pdf eng