@inproceedings{oai:ipsj.ixsq.nii.ac.jp:00236517,
 author = {Zhankun, Liu and 陳, 家東 and Chenghao, Gu and 張, 佳儀 and 木實, 新一},
 book = {第86回全国大会講演論文集},
 issue = {1},
 month = {Mar},
 note = {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.},
 pages = {409--410},
 publisher = {情報処理学会},
 title = {Leveraging Acoustic and Motion Signals for Detecting Topic Transitions in VR Meetings},
 volume = {2024},
 year = {2024}
}