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  1. Proceedings of the Workshop on Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction (MA3HMI '16)
  2. Deictic gestures in coaching interactions
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Analysis of gesture frequency and amplitude as a function of personality in virtual agents
Annotation and analysis of listener's engagement based on multi-modal behaviors
Fitmirror: a smart mirror for positive affect in everyday user morning routines
Deictic gestures in coaching interactions
Assessment of users' interests in multimodal dialog based on exchange unit
Increasing robustness of multimodal interaction via individual interaction histories
Automatic annotation of gestural units in spontaneous face-to-face interaction
Attitude recognition of video bloggers using audio-visual descriptors
Body movements and laughter recognition: experiments in first encounter dialogues
On data driven parametric backchannel synthesis for expressing attentiveness in conversational agents

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Deictic gestures in coaching interactions

Content Provider ACM Digital Library
Author Hough, Julian de Kok, Iwan Schlangen, David Kopp, Stefan
Abstract In motor skill coaching interaction coaches use several techniques to improve the motor skill of the coachee. Through goal setting, explanations, instructions and feedback the coachee is motivated and guided to improve the motor skill. These verbal speech actions are often accompanied by iconic or deictic gestures and other nonverbal acts, such as demonstrations. We are building a virtual coach that is capable of the same behaviour. In this paper we have taken a closer look at the form, type and timing of deictic gestures in our corpus of human-human coaching interactions. We show that a significant amount of the deictic gestures actually touch the referred object, that most of the gestures are complimentary (contrary to previous research) and often occur before the lexical affiliate.
Starting Page 10
Ending Page 14
Page Count 5
File Format PDF
ISBN 9781450345620
DOI 10.1145/3011263.3011267
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-11-12
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Coaching Multimodal analysis Deictic gestures
Content Type Text
Resource Type Article
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