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Emergent leaders through looking and speaking: from audio-visual data to multimodal recognition

  • Dairazalia Sanchez-Cortes
  • Oya Aran
  • Dinesh Babu Jayagopi
  • Marianne Schmid Mast
  • Daniel Gatica-Perez
Original Paper

Abstract

In this paper we present a multimodal analysis of emergent leadership in small groups using audio-visual features and discuss our experience in designing and collecting a data corpus for this purpose. The ELEA Audio-Visual Synchronized corpus (ELEA AVS) was collected using a light portable setup and contains recordings of small group meetings. The participants in each group performed the winter survival task and filled in questionnaires related to personality and several social concepts such as leadership and dominance. In addition, the corpus includes annotations on participants’ performance in the survival task, and also annotations of social concepts from external viewers. Based on this corpus, we present the feasibility of predicting the emergent leader in small groups using automatically extracted audio and visual features, based on speaking turns and visual attention, and we focus specifically on multimodal features that make use of the looking at participants while speaking and looking at while not speaking measures. Our findings indicate that emergent leadership is related, but not equivalent, to dominance, and while multimodal features bring a moderate degree of effectiveness in inferring the leader, much simpler features extracted from the audio channel are found to give better performance.

Keywords

Emergent leadership Nonverbal behavior Multimodal cues Small group interactions 

Notes

Acknowledgments

We thank Iain McCowan (dev-audio) for technical support; Denise Frauendorfer and Pilar Lorente (University of Neuchatel), Radu-Andrei Negoescu (Idiap) for help during the data collection and for data processing, Jean-Marc Odobez (Idiap) for sharing code for VFOA extraction, and all the participants in the recordings. D. Sanchez-Cortes was supported by CONACYT (Mexico) through a doctoral scholarship and the Swiss NSF SONVB project. O. Aran was supported by the projects NOVICOM (EU FP7-IEF) and SOBE (Swiss NSF Ambizione grant no: PZ00P2-136811). D. Jayagopi was supported by the HUMAVIPS project (EU FP7).

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Copyright information

© OpenInterface Association 2012

Authors and Affiliations

  • Dairazalia Sanchez-Cortes
    • 1
    • 2
  • Oya Aran
    • 1
  • Dinesh Babu Jayagopi
    • 1
  • Marianne Schmid Mast
    • 3
  • Daniel Gatica-Perez
    • 1
    • 2
  1. 1.Idiap Research InstituteCentre du ParcMartignySwitzerland
  2. 2.Ecole Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland
  3. 3.Institut de Psychologie du Travail et des OrganisationsUniversity of NeuchatelNeuchâtelSwitzerland

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