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  1. Transactions on Interactive Intelligent Systems (TiiS)
  2. ACM Transactions on Interactive Intelligent Systems (TiiS) : Volume 5
  3. Issue 4(Regular Articles and Special issue on New Directions in Eye Gaze for Interactive Intelligent Systems (Part 1 of 2)), January 2016
  4. Generating Robot Gaze on the Basis of Participation Roles and Dominance Estimation in Multiparty Interaction
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ACM Transactions on Interactive Intelligent Systems (TiiS) : Volume 7
ACM Transactions on Interactive Intelligent Systems (TiiS) : Volume 6
ACM Transactions on Interactive Intelligent Systems (TiiS) : Volume 5
Issue 4(Regular Articles and Special issue on New Directions in Eye Gaze for Interactive Intelligent Systems (Part 1 of 2)), January 2016
Adaptive Real-Time Emotion Recognition from Body Movements
The MovieLens Datasets: History and Context
A Process for Systematic Development of Symbolic Models for Activity Recognition
“I’ll Be There Next”: A Multiplex Care Robot System that Conveys Service Order Using Gaze Gestures
Generating Robot Gaze on the Basis of Participation Roles and Dominance Estimation in Multiparty Interaction
Issue 3(Special Issue on Behavior Understanding for Arts and Entertainment (Part 2 of 2) and Regular Articles), October 2015
Issue 2(Special Issue on Behavior Understanding for Arts and Entertainment (Part 1 of 2)), July 2015
Issue 1, March 2015
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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Generating Robot Gaze on the Basis of Participation Roles and Dominance Estimation in Multiparty Interaction (TIIS, Vol.5, Issue 4)

Content Provider ACM Digital Library
Author Nakano, Yukiko I. Yatsushiro, Misato Yoshino, Takashi Takase, Yutaka
Copyright Year 2015
Abstract Gaze is an important nonverbal feedback signal in multiparty face-to-face conversations. It is well known that gaze behaviors differ depending on participation role: speaker, addressee, or side participant. In this study, we focus on dominance as another factor that affects gaze. First, we conducted an empirical study and analyzed its results that showed how gaze behaviors are affected by both dominance and participation roles. Then, using speech and gaze information that was statistically significant for distinguishing the more dominant and less dominant person in an empirical study, we established a regression-based model for estimating conversational dominance. On the basis of the model, we implemented a dominance estimation mechanism that processes online speech and head direction data. Then we applied our findings to human-robot interaction. To design robot gaze behaviors, we analyzed gaze transitions with respect to participation roles and dominance and implemented gaze-transition models as robot gaze behavior generation rules. Finally, we evaluated a humanoid robot that has dominance estimation functionality and determines its gaze based on the gaze models, and we found that dominant participants had a better impression of less dominant robot gaze behaviors. This suggests that a robot using our gaze models was preferred to a robot that was simply looking at the speaker. We have demonstrated the importance of considering dominance in human-robot multiparty interaction.
Starting Page 1
Ending Page 23
Page Count 23
File Format PDF
ISSN 21606455
e-ISSN 21606463
DOI 10.1145/2743028
Volume Number 5
Issue Number 4
Journal ACM Transactions on Interactive Intelligent Systems (TiiS)
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-12-22
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Gaze generation Conversational dominance Humanoid robot Participation role
Content Type Text
Resource Type Article
Subject Artificial Intelligence Human-Computer Interaction
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