A Framework for the Assessment and Training of Collaborative Problem-Solving Social Skills

Jennifer Hamet Bagnou, Elise Prigent, Jean Claude Martin, Jieyeon Woo, Liu Yang, Catherine Achard, Catherine Pelachaud, Céline Clavel

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

In this article, we describe a new experimental protocol. We propose to collect social interactions and the associated scales were selected to annotate the collected interactions. Three collaborative games were defined to support the study of social interaction during Collaborative Problem Solving. Three dyads of participants were recorded while solving these three collaborative games via a video conferencing system. We explain how the collected behaviors and social interactions were annotated using two scales and three human raters. The results indicate moderate to excellent reliability of these scales. We intend to use the resulting corpus by recruiting more subjects to explore the relations between attention and social interactions, and also for inspiring the design and validation of virtual characters for social skills training.

Original languageEnglish
Title of host publicationICMI 2021 Companion - Companion Publication of the 2021 International Conference on Multimodal Interaction
PublisherAssociation for Computing Machinery, Inc
Pages381-384
Number of pages4
ISBN (Electronic)9781450384711
DOIs
Publication statusPublished - 18 Oct 2021
Externally publishedYes
Event23rd ACM International Conference on Multimodal Interaction, ICMI 2021 - Virtual, Online, Canada
Duration: 18 Oct 202122 Oct 2021

Publication series

NameICMI 2021 Companion - Companion Publication of the 2021 International Conference on Multimodal Interaction

Conference

Conference23rd ACM International Conference on Multimodal Interaction, ICMI 2021
Country/TerritoryCanada
CityVirtual, Online
Period18/10/2122/10/21

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