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The PInSoRo dataset: Supporting the data-driven study of child-child and child-robot social dynamics

Lemaignan, Séverin; Edmunds, Charlotte E. R.; Senft, Emmanuel; Belpaeme, Tony

Authors

Charlotte E. R. Edmunds

Emmanuel Senft

Tony Belpaeme



Abstract

© 2018 Lemaignan et al. The study of the fine-grained social dynamics between children is a methodological challenge, yet a good understanding of how social interaction between children unfolds is important not only to Developmental and Social Psychology, but recently has become relevant to the neighbouring field of Human-Robot Interaction (HRI). Indeed, child-robot interactions are increasingly being explored in domains which require longer-term interactions, such as healthcare and education. For a robot to behave in an appropriate manner over longer time scales, its behaviours have to be contingent and meaningful to the unfolding relationship. Recognising, interpreting and generating sustained and engaging social behaviours is as such an important-and essentially, open-research question. We believe that the recent progress of machine learning opens new opportunities in terms of both analysis and synthesis of complex social dynamics. To support these approaches, we introduce in this article a novel, open dataset of child social interactions, designed with data-driven research methodologies in mind. Our data acquisition methodology relies on an engaging, methodologically sound, but purposefully underspecified free-play interaction. By doing so, we capture a rich set of behavioural patterns occurring in natural social interactions between children. The resulting dataset, called the PInSoRo dataset, comprises 45+ hours of hand-coded recordings of social interactions between 45 child-child pairs and 30 child-robot pairs. In addition to annotations of social constructs, the dataset includes fully calibrated video recordings, 3D recordings of the faces, skeletal informations, full audio recordings, as well as game interactions.

Citation

Lemaignan, S., Edmunds, C. E. R., Senft, E., & Belpaeme, T. (2018). The PInSoRo dataset: Supporting the data-driven study of child-child and child-robot social dynamics. PLoS ONE, 13(10), 1-19. https://doi.org/10.1371/journal.pone.0205999

Journal Article Type Article
Acceptance Date Oct 4, 2018
Online Publication Date Oct 19, 2018
Publication Date 2018-10
Journal PLOS ONE
Electronic ISSN 1932-6203
Publisher Public Library of Science
Peer Reviewed Peer Reviewed
Volume 13
Issue 10
Pages 1-19
DOI https://doi.org/10.1371/journal.pone.0205999
Public URL https://uwe-repository.worktribe.com/output/858591
Publisher URL https://doi.org/10.1371/journal.pone.0205999
Related Public URLs https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0205999

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