Co-located Collaboration Analytics

Sambit Praharaj

    Research output: Chapter in Book/Report/Conference proceedingConference Abstract/Poster in proceedingAcademicpeer-review


    Collaboration is an important skill of the 21st century. It can take place in an online (or remote) setting or in a colocated (or face-to-face) setting. With the large scale adoption of sensor use, studies on co-located collaboration (CC) has gained momentum. CC takes place in physical spaces where the group members share each other's social and epistemic space. This involves subtle multimodal interactions such as gaze, gestures, speech, discourse which are complex in nature. The aim of this PhD is to detect these interactions and then use these insights to build an automated real-time feedback system to facilitate co-located collaboration.

    Original languageEnglish
    Title of host publicationICMI '19
    Subtitle of host publication2019 International Conference on Multimodal Interaction
    EditorsWen Gao, Helen Mei Ling Meng, Matthew Turk, Susan R. Fussell, Björn Schuller, Yale Song, Kai Yu
    Place of PublicationNew York, NY, USA
    PublisherAssociation for Computing Machinery (ACM)
    Number of pages4
    ISBN (Electronic)9781450368605
    ISBN (Print)9781450368605
    Publication statusPublished - 14 Oct 2019


    • Co-located collaboration
    • Multimodal interactions
    • Multimodal learning analytics
    • Realtime feedback


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