Towards Mimicry Recognition during Human Interactions: Automatic Feature Selection and Representation

X. Sun, Antinus Nijholt, Maja Pantic

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
9 Downloads (Pure)

Abstract

During face-to-face interpersonal interaction people have a tendency to mimic each other, that is, they change their own behaviors to adjust to the behavior expressed by a partner. In this paper we describe how behavioral information expressed between two interlocutors can be used to detect and identify mimicry and improve recognition of interrelationship and affect between them in a conversation. To automatically analyze how to extract and integrate this behavioral information into a mimicry detection framework for improving affective computing, this paper addresses the main challenge: mimicry representation in terms of optimal behavioral feature extraction and automatic integration.
Original languageUndefined
Title of host publicationProceedings 4th International ICST Conference on Intelligent Technologies for Interactive Entertainment (INTETAIN 2011), Revised Selected Papers
EditorsAntonio Camurri, Cristina Costa
Place of PublicationHeidelberg
PublisherSpringer
Pages160-169
Number of pages10
ISBN (Print)978-3-642-30213-8
DOIs
Publication statusPublished - Sep 2012
Event4th International Conference on Intelligent Technologies for Interactive Entertainment, INTETAIN 2011 - Genova, Italy
Duration: 25 May 201127 May 2011
Conference number: 4

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
PublisherSpringer Verlag
Volume78
ISSN (Print)1867-8211

Conference

Conference4th International Conference on Intelligent Technologies for Interactive Entertainment, INTETAIN 2011
Abbreviated titleINTETAIN
CountryItaly
CityGenova
Period25/05/1127/05/11

Keywords

  • METIS-289627
  • Mimicry representation
  • IR-81853
  • EC Grant Agreement nr.: ERC/203143
  • EC Grant Agreement nr.: FP7/231287
  • motion energy
  • Human behavior analysis
  • HMI-MI: MULTIMODAL INTERACTIONS
  • EWI-20157
  • human- human interaction

Cite this

Sun, X., Nijholt, A., & Pantic, M. (2012). Towards Mimicry Recognition during Human Interactions: Automatic Feature Selection and Representation. In A. Camurri, & C. Costa (Eds.), Proceedings 4th International ICST Conference on Intelligent Technologies for Interactive Entertainment (INTETAIN 2011), Revised Selected Papers (pp. 160-169). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; Vol. 78). Heidelberg: Springer. https://doi.org/10.1007/978-3-642-30214-5_18
Sun, X. ; Nijholt, Antinus ; Pantic, Maja. / Towards Mimicry Recognition during Human Interactions: Automatic Feature Selection and Representation. Proceedings 4th International ICST Conference on Intelligent Technologies for Interactive Entertainment (INTETAIN 2011), Revised Selected Papers. editor / Antonio Camurri ; Cristina Costa. Heidelberg : Springer, 2012. pp. 160-169 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering).
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title = "Towards Mimicry Recognition during Human Interactions: Automatic Feature Selection and Representation",
abstract = "During face-to-face interpersonal interaction people have a tendency to mimic each other, that is, they change their own behaviors to adjust to the behavior expressed by a partner. In this paper we describe how behavioral information expressed between two interlocutors can be used to detect and identify mimicry and improve recognition of interrelationship and affect between them in a conversation. To automatically analyze how to extract and integrate this behavioral information into a mimicry detection framework for improving affective computing, this paper addresses the main challenge: mimicry representation in terms of optimal behavioral feature extraction and automatic integration.",
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author = "X. Sun and Antinus Nijholt and Maja Pantic",
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Sun, X, Nijholt, A & Pantic, M 2012, Towards Mimicry Recognition during Human Interactions: Automatic Feature Selection and Representation. in A Camurri & C Costa (eds), Proceedings 4th International ICST Conference on Intelligent Technologies for Interactive Entertainment (INTETAIN 2011), Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, vol. 78, Springer, Heidelberg, pp. 160-169, 4th International Conference on Intelligent Technologies for Interactive Entertainment, INTETAIN 2011, Genova, Italy, 25/05/11. https://doi.org/10.1007/978-3-642-30214-5_18

Towards Mimicry Recognition during Human Interactions: Automatic Feature Selection and Representation. / Sun, X.; Nijholt, Antinus; Pantic, Maja.

Proceedings 4th International ICST Conference on Intelligent Technologies for Interactive Entertainment (INTETAIN 2011), Revised Selected Papers. ed. / Antonio Camurri; Cristina Costa. Heidelberg : Springer, 2012. p. 160-169 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; Vol. 78).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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AB - During face-to-face interpersonal interaction people have a tendency to mimic each other, that is, they change their own behaviors to adjust to the behavior expressed by a partner. In this paper we describe how behavioral information expressed between two interlocutors can be used to detect and identify mimicry and improve recognition of interrelationship and affect between them in a conversation. To automatically analyze how to extract and integrate this behavioral information into a mimicry detection framework for improving affective computing, this paper addresses the main challenge: mimicry representation in terms of optimal behavioral feature extraction and automatic integration.

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KW - EC Grant Agreement nr.: FP7/231287

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KW - Human behavior analysis

KW - HMI-MI: MULTIMODAL INTERACTIONS

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Sun X, Nijholt A, Pantic M. Towards Mimicry Recognition during Human Interactions: Automatic Feature Selection and Representation. In Camurri A, Costa C, editors, Proceedings 4th International ICST Conference on Intelligent Technologies for Interactive Entertainment (INTETAIN 2011), Revised Selected Papers. Heidelberg: Springer. 2012. p. 160-169. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering). https://doi.org/10.1007/978-3-642-30214-5_18