The annotation files are accessible here: https://zenodo.org/records/3820510
This dataset contains annotation segments smiles and laughs as well as their intensties, expressed by interlocutors in conversational contexts. They also contain annotation segments of the interlocutors' roles (speaker, listener or none) during their conversations. 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: Cardiff Conversational Database (CCDB) [2] The IFADV Corpus (IFADV) [3] The Nonverbal Dyadic Conversation on Moral Emotions (NDC-ME) [4]
The CBA Toolkit contains modules for processing interaction data and to implement interaction related systems and be accessed 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.
[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 & L Net Workshop on Language for Vision, CVPR 2013.
[3] Van Son, R. J. J. H., et al. "The IFADV corpus: A free dialog video corpus." (2008).
[4] Heron, Louise, et al. "A dyadic conversation dataset on moral emotions." 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018). IEEE, 2018.