Intelligent Technologies for Interactive Entertainment. 4th International ICST Conference, INTETAIN 2011, Genova, Italy, May 25-27, 2011, Revised Selected Papers

Research Article

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

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  • @INPROCEEDINGS{10.1007/978-3-642-30214-5_18,
        author={Xiaofan Sun and Anton Nijholt and Maja Pantic},
        title={Towards Mimicry Recognition during Human Interactions: Automatic Feature Selection and Representation},
        proceedings={Intelligent Technologies for Interactive Entertainment. 4th International ICST Conference, INTETAIN 2011, Genova, Italy, May 25-27, 2011, Revised Selected Papers},
        proceedings_a={INTETAIN},
        year={2012},
        month={10},
        keywords={mimicry representation human-human interaction human behavior analysis motion energy},
        doi={10.1007/978-3-642-30214-5_18}
    }
    
  • Xiaofan Sun
    Anton Nijholt
    Maja Pantic
    Year: 2012
    Towards Mimicry Recognition during Human Interactions: Automatic Feature Selection and Representation
    INTETAIN
    Springer
    DOI: 10.1007/978-3-642-30214-5_18
Xiaofan Sun1,*, Anton Nijholt1,*, Maja Pantic
  • 1: University of Twente
*Contact email: x.f.sun@ewi.utwente.nl, a.nijholt@ewi.utwente.nl

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.