research-article

Model of the perception of smiling virtual character

Authors:

Catherine PelachaudAuthors Info & Claims

AAMAS '12: Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1

Pages 87 - 94

Published: 04 June 2012 Publication History

Abstract

A smile may convey different communicative intentions depending on subtle characteristics of the facial expression. Moreover, during an interaction, the expression of smile impacts on the observer's perception of both the social stance of the speaker and of the content of the talk. In this paper, we describe a perceptual study where we explore the effects of virtual characters displaying different types of smiles (namely politeness and amusement) when speaking on the user's perception. Based on the collected data, a model to automatically compute the user's potential perception of the virtual character's social stance depending on its smiling behavior and on its gender has been proposed.

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Cited By

Oralbayeva NAly ASandygulova ABelpaeme T(2023)Data-driven Communicative Behaviour Generation: A SurveyACM Transactions on Human-Robot Interaction10.1145/360923513:1(1-39)Online publication date: 16-Aug-2023
https://dl.acm.org/doi/10.1145/3609235
Janssoone TZhang ZCohen PBohus DHoraud RMeng H(2015)Temporal Association Rules for Modelling Multimodal Social SignalsProceedings of the 2015 ACM on International Conference on Multimodal Interaction10.1145/2818346.2823305(575-579)Online publication date: 9-Nov-2015
https://dl.acm.org/doi/10.1145/2818346.2823305
Ding YPrepin KHuang JPelachaud CArtières TBazzan AHuhns MLomuscio AScerri P(2014)Laughter animation synthesisProceedings of the 2014 international conference on Autonomous agents and multi-agent systems10.5555/2615731.2615856(773-780)Online publication date: 5-May-2014
https://dl.acm.org/doi/10.5555/2615731.2615856

Index Terms

Model of the perception of smiling virtual character
1. Information systems
  1. Information systems applications
    1. Multimedia information systems

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Published In

cover image ACM Other conferences

AAMAS '12: Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1

June 2012

592 pages

ISBN:0981738117

General Chairs:
Wiebe van der Hoek
University of Liverpool, UK
,
Lin Padgham
RMIT University, Australia
,
Program Chairs:
Vincent Conitzer
Duke University
,
Michael Winikoff
University of Otago, New Zealand

Sponsors

The International Foundation for Autonomous Agents and Multiagent Systems: The International Foundation for Autonomous Agents and Multiagent Systems

In-Cooperation

SIGAI: ACM Special Interest Group on Artificial Intelligence

Publisher

International Foundation for Autonomous Agents and Multiagent Systems

Richland, SC

Publication History

Published: 04 June 2012

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AAMAS 12

Sponsor:

The International Foundation for Autonomous Agents and Multiagent Systems

AAMAS 12: International Conference on Autonomous Agents and Multiagent Systems

June 4 - 8, 2012

Valencia, Spain

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Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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Cited By

Oralbayeva NAly ASandygulova ABelpaeme T(2023)Data-driven Communicative Behaviour Generation: A SurveyACM Transactions on Human-Robot Interaction10.1145/360923513:1(1-39)Online publication date: 16-Aug-2023
https://dl.acm.org/doi/10.1145/3609235
Janssoone TZhang ZCohen PBohus DHoraud RMeng H(2015)Temporal Association Rules for Modelling Multimodal Social SignalsProceedings of the 2015 ACM on International Conference on Multimodal Interaction10.1145/2818346.2823305(575-579)Online publication date: 9-Nov-2015
https://dl.acm.org/doi/10.1145/2818346.2823305
Ding YPrepin KHuang JPelachaud CArtières TBazzan AHuhns MLomuscio AScerri P(2014)Laughter animation synthesisProceedings of the 2014 international conference on Autonomous agents and multi-agent systems10.5555/2615731.2615856(773-780)Online publication date: 5-May-2014
https://dl.acm.org/doi/10.5555/2615731.2615856

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