Interaction Behavior Database

This dataset contains annotation segments smiles and laughs as well as their intensties, expressed by interlocutors in conversational contexts.<br> They also contain annotation segments of the interlocutors' roles (speaker, listener or none) during their conversations.<br> Please refer to [1] and its annexed file for a more detailed description of the annotations. The audiovisual content of the datasets annotated here can be accessed as follows:<br> Cardiff Conversational Database (CCDB) [2]<br> The IFADV Corpus (IFADV) [3] <br> The Nonverbal Dyadic Conversation on Moral Emotions (NDC-ME) [4]: Contact kevin [dot] elhaddad [at] umons [dot] ac [dot] be The CBA Toolkit contains modules for processing interaction data and to implement interaction related systems and be accessed<br> Please refer to the Examples section of the CBA-toolkit's repository README for obtaining the annotation files grouped as interlocutor pairs. [1] El Haddad, Kevin, Sandeep Nallan Chakravarthula, and James Kennedy. "Smile and Laugh Dynamics in Naturalistic Dyadic Interactions: Intensity Levels, Sequences and Roles." 2019 International Conference on Multimodal Interaction. 2019. <br> [2] A.J. Aubrey, D. Marshall, P.L. Rosin, J. Vandeventer, D.W. Cunningham, C. Wallraven, ”Cardiff Conversation Database (CCDb): A Database of Natural Dyadic Conversations”, V &amp; L Net Workshop on Language for Vision, CVPR 2013. <br> [3] Van Son, R. J. J. H., et al. "The IFADV corpus: A free dialog video corpus." (2008). <br> [4] Heron, Louise, et al. "A dyadic conversation dataset on moral emotions." 2018 13th IEEE International Conference on Automatic Face &amp; Gesture Recognition (FG 2018). IEEE, 2018. <br> Copyright © - 2020 – UMONS-Numédiart