MultiMediate: Multi-modal Group Behaviour Analysis for Artificial Mediation

The NoXi Database: Multimodal Recordings of Mediated Novice-Expert Interactions

Angelo Cafaro, Johannes Wagner, Tobias Baur, Soumia Dermouche, Mercedes Torres Torres, Catherine Pelachaud, Elisabeth André, Michel Valstar

Proceedings of 19th ACM International Conference on Multimodal Interaction, pp. 350–359, 2017.


Abstract

We present a novel multi-lingual database of natural dyadic novice- expert interactions, named NoXi, featuring screen-mediated dyadic human interactions in the context of information exchange and retrieval. NoXi is designed to provide spontaneous interactions with emphasis on adaptive behaviors and unexpected situations (e.g. conversational interruptions). A rich set of audio-visual data, as well as continuous and discrete annotations are publicly available through a web interface. Descriptors include low level social signals (e.g. gestures, smiles), functional descriptors (e.g. turn-taking, dialogue acts) and interaction descriptors (e.g. engagement, interest, and fluidity).

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BibTeX

@inproceedings{cafaro17_icmi, title = {The NoXi Database: Multimodal Recordings of Mediated Novice-Expert Interactions}, author = {Cafaro, Angelo and Wagner, Johannes and Baur, Tobias and Dermouche, Soumia and Torres, Mercedes Torres and Pelachaud, Catherine and André, Elisabeth and Valstar, Michel}, year = {2017}, booktitle = {Proceedings of 19th ACM International Conference on Multimodal Interaction}, doi = {10.1145/3136755.3136780}, pages = {350–359} }