Intergenerational family storytelling and modeling with large-scale data sets

Daryl B. Axelrod, Jennifer Kahn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Open large-scale data sets (LSDS, [4]) and visualization tools have opened a new design space for youth and family collaborative learning. Using a corpus of video-recorded interviews, we examine how youth and parents together explore their personal family migration histories-their geobiographies-and broader socioeconomic, historical trends using dynamic data visualization tools. We introduce the Family Alignment of data Models and Stories (FAMS) process to describe how parent-child interactions with LSDS, through cycles of aligning family narratives to data, produce family stories about migration. Applying the FAMS model to four family cases revealed that grounding family narratives in jointly constructed interpretations of data sets encourages generative co-constructions of those stories, which contrasts with family storytelling settings in which narrators' interpretations compete to become the basis for the accepted version of events [23]. We discuss how the FAMS model can facilitate deeper understandings of intergenerational engagement with LSDS.

Original languageEnglish (US)
Title of host publicationProceedings of the 18th ACM International Conference on Interaction Design and Children, IDC 2019
PublisherAssociation for Computing Machinery, Inc
Pages352-360
Number of pages9
ISBN (Electronic)9781450366908
DOIs
StatePublished - Jun 12 2019
Event18th ACM International Conference on Interaction Design and Children, IDC 2019 - Boise, United States
Duration: Jun 12 2019Jun 15 2019

Publication series

NameProceedings of the 18th ACM International Conference on Interaction Design and Children, IDC 2019

Conference

Conference18th ACM International Conference on Interaction Design and Children, IDC 2019
CountryUnited States
CityBoise
Period6/12/196/15/19

Keywords

  • CSCL
  • Data modeling
  • Families
  • Large scale data sets
  • Storytelling

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction

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  • Cite this

    Axelrod, D. B., & Kahn, J. (2019). Intergenerational family storytelling and modeling with large-scale data sets. In Proceedings of the 18th ACM International Conference on Interaction Design and Children, IDC 2019 (pp. 352-360). (Proceedings of the 18th ACM International Conference on Interaction Design and Children, IDC 2019). Association for Computing Machinery, Inc. https://doi.org/10.1145/3311927.3323153