Collective Narrative: Scaffolding Community Storytelling through Context-Awareness

Nina Cong, Kevin Cheng, Haoqi Zhang, Ryan Louie

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

Abstract

Sharing mutual experiences on the same topic is an effective way to increase members' sense of belonging to the community, but existing approaches are insufficient in building such a narrative when a community tries to connect remotely, due to barriers in sharing and organizing content. In this paper, we present Collective Narrative (CN), a context-aware system that facilitates users in identifying share-worthy moments through in-context prompting, and automates the organization process through informed section assignment to a narrative structure. A preliminary study testing the CN iPhone app demonstrates that CN can potentially scaffold in-the-moment sharings and form narratives that are comprehensive yet diverse, thereby presenting contributions in a way that users could easily identify mutual experiences and feelings by reading the narrative.

Original languageEnglish (US)
Title of host publicationCSCW 2021 - Conference Companion Publication of the 2021 Computer Supported Cooperative Work and Social Computing
PublisherAssociation for Computing Machinery
Pages40-43
Number of pages4
ISBN (Electronic)9781450384797
DOIs
StatePublished - Oct 23 2021
Event24th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2021 - Virtual, Online, United States
Duration: Oct 23 2021Oct 27 2021

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Conference

Conference24th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2021
Country/TerritoryUnited States
CityVirtual, Online
Period10/23/2110/27/21

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Human-Computer Interaction

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