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Using Respiration to Predict Who Will Speak Next and When in Multiparty Meetings., , , and . ACM Trans. Interact. Intell. Syst., 6 (2): 20:1-20:20 (2016)Predicting next speaker based on head movement in multi-party meetings., , and . ICASSP, page 2319-2323. IEEE, (2015)Analysis of Timing Structure of Eye Contact in Turn-changing., , , and . GazeIn@ICMI, page 15-20. ACM, (2014)Estimating user's engagement from eye-gaze behaviors in human-agent conversations., and . IUI, page 139-148. ACM, (2010)Avatar's Gaze Control to Facilitate Conversational Turn-Taking in Virtual-Space Multi-user Voice Chat System., , , and . IVA, volume 4133 of Lecture Notes in Computer Science, page 458. Springer, (2006)Multimodal Fusion using Respiration and Gaze for Predicting Next Speaker in Multi-Party Meetings., , and . ICMI, page 99-106. ACM, (2015)Prediction of Love-Like Scores After Speed Dating Based on Pre-obtainable Personal Characteristic Information., , , , , , , and . INTERACT (4), volume 14145 of Lecture Notes in Computer Science, page 551-556. Springer, (2023)MoPaCo: High telepresence video communication system using motion parallax with monocular camera., , , and . ICCV Workshops, page 463-464. IEEE Computer Society, (2011)Investigating the effect of video extraction summarization techniques on the accuracy of impression conveyance in group dialogue., , , , , and . OZCHI, page 140-147. ACM, (2023)Analysis of praising skills focusing on utterance contents., , , , , , and . INTERSPEECH, page 2743-2747. ISCA, (2022)