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

X. Sun; Antinus Nijholt; Maja Pantic

doi:10.1007/978-3-642-30214-5_18

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

X. Sun, Antinus Nijholt, Maja Pantic

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

77 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 language	Undefined
Title of host publication	Proceedings 4th International ICST Conference on Intelligent Technologies for Interactive Entertainment (INTETAIN 2011), Revised Selected Papers
Editors	Antonio Camurri, Cristina Costa
Place of Publication	Heidelberg
Publisher	Springer
Pages	160-169
Number of pages	10
ISBN (Print)	978-3-642-30213-8
DOIs	https://doi.org/10.1007/978-3-642-30214-5_18
Publication status	Published - Sept 2012
Event	4th International Conference on Intelligent Technologies for Interactive Entertainment, INTETAIN 2011 - Genova, Italy Duration: 25 May 2011 → 27 May 2011 Conference number: 4

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
Publisher	Springer Verlag
Volume	78
ISSN (Print)	1867-8211

Conference

Conference	4th International Conference on Intelligent Technologies for Interactive Entertainment, INTETAIN 2011
Abbreviated title	INTETAIN
Country/Territory	Italy
City	Genova
Period	25/05/11 → 27/05/11

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

Access to Document

10.1007/978-3-642-30214-5_18

intetain2011_xsun

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). 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.",

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",

author = "X. Sun and Antinus Nijholt and Maja Pantic",

note = "10.1007/978-3-642-30214-5_18 ; 4th International Conference on Intelligent Technologies for Interactive Entertainment, INTETAIN 2011 ; Conference date: 25-05-2011 Through 27-05-2011",

year = "2012",

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isbn = "978-3-642-30213-8",

series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering",

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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 proceeding › Conference contribution › Academic › peer-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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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). doi: 10.1007/978-3-642-30214-5_18