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Intergenerational Family Storytelling and Modeling with Large-Scale Data Sets

Published: 12 June 2019 Publication History

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.

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  • (2024)Designing Collaborative Technology for Intergenerational Social Play over DistanceProceedings of the ACM on Human-Computer Interaction10.1145/36870318:CSCW2(1-26)Online publication date: 8-Nov-2024
  • (2024)Field Trial of a Tablet-based AR System for Intergenerational Connections through Remote ReadingProceedings of the ACM on Human-Computer Interaction10.1145/36536968:CSCW1(1-28)Online publication date: 26-Apr-2024
  • (2024)Learning from Learning - Design-Based Research Practices in Child-Computer InteractionProceedings of the 23rd Annual ACM Interaction Design and Children Conference10.1145/3628516.3655754(338-354)Online publication date: 17-Jun-2024
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cover image ACM Conferences
IDC '19: Proceedings of the 18th ACM International Conference on Interaction Design and Children
June 2019
787 pages
ISBN:9781450366908
DOI:10.1145/3311927
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 12 June 2019

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  1. CSCL
  2. Large scale data sets
  3. Storytelling
  4. data modeling
  5. families

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IDC '19: Interaction Design and Children
June 12 - 15, 2019
ID, Boise, USA

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IDC '19 Paper Acceptance Rate 41 of 124 submissions, 33%;
Overall Acceptance Rate 172 of 578 submissions, 30%

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Cited By

View all
  • (2024)Designing Collaborative Technology for Intergenerational Social Play over DistanceProceedings of the ACM on Human-Computer Interaction10.1145/36870318:CSCW2(1-26)Online publication date: 8-Nov-2024
  • (2024)Field Trial of a Tablet-based AR System for Intergenerational Connections through Remote ReadingProceedings of the ACM on Human-Computer Interaction10.1145/36536968:CSCW1(1-28)Online publication date: 26-Apr-2024
  • (2024)Learning from Learning - Design-Based Research Practices in Child-Computer InteractionProceedings of the 23rd Annual ACM Interaction Design and Children Conference10.1145/3628516.3655754(338-354)Online publication date: 17-Jun-2024
  • (2024)Parent-Child Joint Media Engagement Within HCI: A Scoping Analysis of the Research LandscapeProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642307(1-21)Online publication date: 11-May-2024
  • (2023)Socio-technical Opportunities in Long-Distance Communication Between Siblings with a Large Age DifferenceProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580720(1-15)Online publication date: 19-Apr-2023
  • (2023)Families’ discursive practices in data discussions about migration historiesDiscourse Processes10.1080/0163853X.2023.222598160:6(457-477)Online publication date: 6-Jul-2023
  • (2022)Exploring Design Opportunities for Supporting Mental Wellbeing Among East Asian University Students in CanadaProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517710(1-16)Online publication date: 29-Apr-2022
  • (2020)18 Years of ethics in child-computer interaction researchProceedings of the Interaction Design and Children Conference10.1145/3392063.3394407(161-183)Online publication date: 21-Jun-2020
  • (2019)Learning at the Intersection of Self and Society: The Family Geobiography as a Context for Data Science EducationJournal of the Learning Sciences10.1080/10508406.2019.169337729:1(57-80)Online publication date: 13-Dec-2019

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