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International Conference on Quantitative Ethnography

ICQE 2019: Advances in Quantitative Ethnography pp 307–314Cite as

The Dynamic Interaction Between Engagement, Friendship, and Collaboration in Robot Children Triads

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1112))

Abstract

Grounded in child/robot interaction and inclusive education, this research has designed a small socio-technical community of a robot and two children where children play and learn equitably together while they help the robot learn. This designed community was implemented in a school media lab twice a week over three weeks, each session taking about 20 min. We ethnographically observed and video recorded children’s participation in the triadic interaction naturally. The phenomena of interest include friendship development, collaborative communication, and engagement with the community. Data collection is still ongoing, and analysis will occur over this summer. This paper presents the theoretical frameworks and data analytic scheme. We expect to report the findings at the ICQE conference in October.

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Acknowledgements

This work was funded by NSF IIS #1839194.

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Authors and Affiliations

  1. College of Education, Northern Illinois University, Gabel Hall 155, Dekalb, IL, 60115, USA

    Yanghee Kim & Michael Tscholl

Authors
  1. Yanghee Kim
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  2. Michael Tscholl
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Corresponding author

Correspondence to Yanghee Kim .

Editor information

Editors and Affiliations

  1. University of Wisconsin–Madison, Madison, WI, USA

    Brendan Eagan

  2. University of Copenhagen, Copenhagen, Denmark

    Morten Misfeldt

  3. University of Wisconsin–Madison, Madison, WI, USA

    Amanda Siebert-Evenstone

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Kim, Y., Tscholl, M. (2019). The Dynamic Interaction Between Engagement, Friendship, and Collaboration in Robot Children Triads. In: Eagan, B., Misfeldt, M., Siebert-Evenstone, A. (eds) Advances in Quantitative Ethnography. ICQE 2019. Communications in Computer and Information Science, vol 1112. Springer, Cham. https://doi.org/10.1007/978-3-030-33232-7_27

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  • DOI: https://doi.org/10.1007/978-3-030-33232-7_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33231-0

  • Online ISBN: 978-3-030-33232-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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