Encount'r: Exploring passive context-awareness for opportunistic social matching

Julia M. Mayer, Quentin Jones

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

5 Scopus citations

Abstract

Mobile social matching applications are changing the way we meet new people. However, there are many open challenges associated with the design of systems that introduces people proactively without a specific user query, but instead when the opportunity arises. We present Encount'r, an opportunistic social matching system that implements passive context-awareness to unobtrusively inform people about relevant opportunities. Preliminary findings from a think aloud evaluation of both the concept and the designs are discussed and ongoing research efforts are presented.

Original languageEnglish (US)
Title of host publicationProceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion, CSCW 2016 Companion
PublisherAssociation for Computing Machinery
Pages349-352
Number of pages4
ISBN (Electronic)9781450339506
DOIs
StatePublished - Feb 27 2016
Event19th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2016 - San Francisco, United States
Duration: Feb 26 2016Mar 2 2016

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
Volume26-February-2016

Other

Other19th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2016
Country/TerritoryUnited States
CitySan Francisco
Period2/26/163/2/16

All Science Journal Classification (ASJC) codes

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

Keywords

  • Context-awareness
  • Opportunistic social matching
  • Social recommender systems

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