Automatic analysis of children’s engagement using interactional network features

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    Abstract

    We explored the automatic analysis of vocal non-verbal cues of a group of children in the context of engagement and collaborative play. For the current study, we defined two types of engagement on groups of children: harmonised and unharmonised. A spontaneous audiovisual corpus with groups of children who collaboratively build a 3D puzzle was collected. With this corpus, we modelled the interactions among children using network-based features representing the centrality and similarity of interactions. The centrality measures how interactions among group members are concentrated on a specific speaker while the similarity measures how similar the interactions are. We examined their discriminative characteristics in harmonised and unharmonised engagement situations. High centrality and low similarity values were found in unharmonised engagement situations. In harmonised engagement situations, we found low centrality and high similarity values. These results suggest that interactional network features are promising for the development of automatic detection of engagement at the group level.
    Original languageUndefined
    Title of host publicationProceedings of the Workshop on Child Computer Interaction (WOCCI 2016)
    Place of PublicationBaixas, France
    PublisherISCA
    Pages23-28
    Number of pages6
    ISBN (Print)not assigned
    DOIs
    Publication statusPublished - Sep 2016

    Publication series

    Name
    PublisherISCA

    Keywords

    • EWI-27465
    • HMI-SLT: Speech and Language Technology
    • non-verbal
    • Social Network
    • METIS-320904
    • Children
    • Engagement
    • IR-102931
    • EC Grant Agreement nr.: FP7/610532

    Cite this

    Kim, J., & Truong, K. P. (2016). Automatic analysis of children’s engagement using interactional network features. In Proceedings of the Workshop on Child Computer Interaction (WOCCI 2016) (pp. 23-28). Baixas, France: ISCA. https://doi.org/10.21437/WOCCI.2016-4