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A multimodal annotated corpus of consensus decision making meetings

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Abstract

In this paper we present an annotated audio–video corpus of multi-party meetings. The multimodal corpus provides for each subject involved in the experimental sessions six annotation dimensions referring to group dynamics; speech activity and body activity. The corpus is based on 11 audio and video recorded sessions which took place in a lab setting appropriately equipped with cameras and microphones. Our main concern in collecting this multimodal corpus was to explore the possibility of providing feedback services to facilitate group processes and to enhance self awareness among small groups engaged in meetings. We therefore introduce a coding scheme for annotating relevant functional roles that appear in a small group interaction. We also discuss the reliability of the coding scheme and we present the first results for automatic classification.

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Acknowledgements

This work has been partially supported by the EC under contract no 506909, to the CHIL project (FP6).

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Correspondence to Massimo Zancanaro.

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Pianesi, F., Zancanaro, M., Lepri, B. et al. A multimodal annotated corpus of consensus decision making meetings. Lang Resources & Evaluation 41, 409–429 (2007). https://doi.org/10.1007/s10579-007-9060-6

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