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  1. Transactions on Interactive Intelligent Systems (TiiS)
  2. ACM Transactions on Interactive Intelligent Systems (TiiS) : Volume 6
  3. Issue 2(Regular Articles, Special Issue on Highlights of IUI 2015 (Part 2 of 2) and Special Issue on Highlights of ICMI 2014 (Part 1 of 2)), August 2016
  4. Using Respiration to Predict Who Will Speak Next and When in Multiparty Meetings
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ACM Transactions on Interactive Intelligent Systems (TiiS) : Volume 7
ACM Transactions on Interactive Intelligent Systems (TiiS) : Volume 6
Issue 4(Special Issue on Human Interaction with Artificial Advice Givers), December 2016
Issue 3(Regular Articles and Special Issue on Highlights of ICMI 2014 (Part 2 of 2)), October 2016
Issue 2(Regular Articles, Special Issue on Highlights of IUI 2015 (Part 2 of 2) and Special Issue on Highlights of ICMI 2014 (Part 1 of 2)), August 2016
Transfer Learning for Semisupervised Collaborative Recommendation
Agents Vs. Users: Visual Recommendation of Research Talks with Multiple Dimension of Relevance
The Effects of Interpersonal Attitude of a Group of Agents on User’s Presence and Proxemics Behavior
A Dynamic Pen-Based Interface for Writing and Editing Complex Mathematical Expressions With Math Boxes
The Stability and Usability of Statistical Topic Models
Minimal Interaction Content Discovery in Recommender Systems
Beyond the Touchscreen: An Exploration of Extending Interactions on Commodity Smartphones
Using Video to Automatically Detect Learner Affect in Computer-Enabled Classrooms
Teaching Social Communication Skills Through Human-Agent Interaction
Automatic Analysis of Naturalistic Hand-Over-Face Gestures
Using Respiration to Predict Who Will Speak Next and When in Multiparty Meetings
Issue 1(Special Issue on New Directions in Eye Gaze for Interactive Intelligent Systems (Part 2 of 2), Regular Articles and Special Issue on Highlights of IUI 2015 (Part 1 of 2)), May 2016
ACM Transactions on Interactive Intelligent Systems (TiiS) : Volume 5
ACM Transactions on Interactive Intelligent Systems (TiiS) : Volume 4
ACM Transactions on Interactive Intelligent Systems (TiiS) : Volume 3
ACM Transactions on Interactive Intelligent Systems (TiiS) : Volume 2
ACM Transactions on Interactive Intelligent Systems (TiiS) : Volume 1

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Using Respiration to Predict Who Will Speak Next and When in Multiparty Meetings

Content Provider ACM Digital Library
Author Ishii, Ryo Yamato, Junji Otsuka, Kazuhiro Kumano, Shiro
Copyright Year 2016
Abstract Techniques that use nonverbal behaviors to predict turn-changing situations—such as, in multiparty meetings, who the next speaker will be and when the next utterance will occur—have been receiving a lot of attention in recent research. To build a model for predicting these behaviors we conducted a research study to determine whether respiration could be effectively used as a basis for the prediction. Results of analyses of utterance and respiration data collected from participants in multiparty meetings reveal that the speaker takes a breath more quickly and deeply after the end of an utterance in turn-keeping than in turn-changing. They also indicate that the listener who will be the next speaker takes a bigger breath more quickly and deeply in turn-changing than the other listeners. On the basis of these results, we constructed and evaluated models for predicting the next speaker and the time of the next utterance in multiparty meetings. The results of the evaluation suggest that the characteristics of the speaker's inhalation right after an utterance unit—the points in time at which the inhalation starts and ends after the end of the utterance unit and the amplitude, slope, and duration of the inhalation phase—are effective for predicting the next speaker in multiparty meetings. They further suggest that the characteristics of listeners' inhalation—the points in time at which the inhalation starts and ends after the end of the utterance unit and the minimum and maximum inspiration, amplitude, and slope of the inhalation phase—are effective for predicting the next speaker. The start time and end time of the next speaker's inhalation are also useful for predicting the time of the next utterance in turn-changing.
Starting Page 1
Ending Page 20
Page Count 20
File Format PDF
ISSN 21606455
e-ISSN 21606463
DOI 10.1145/2946838
Volume Number 6
Issue Number 2
Journal ACM Transactions on Interactive Intelligent Systems (TiiS)
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-08-03
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Turn-changing Multiparty meetings Next speaker prediction Next-utterance timing prediction Respiration
Content Type Text
Resource Type Article
Subject Artificial Intelligence Human-Computer Interaction
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