Making social matching context-aware - Design concepts and open challenges

Julia M. Mayer, Starr Roxanne Hiltz, Quentin Jones

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

30 Scopus citations

Abstract

Social matching systems recommend people to people. In an ideal world, such systems could be context-aware, in that they would introduce users to each other in situations where they are mutually interested, available and open to meeting (i.e., facilitate a valuable encounter). Unfortunately, today's systems primarily match individuals based on simple similarity and proximity metrics. This paper explores how contextual information available on today's mobile phones could be used to identify opportunities for people to make valuable new connections. Three types of context that are relevant for this work are: relational, social and personal. We present insights gained from several iterations of semi-structured interviewing (N=58) exploring these three types of contexts and propose novel context-aware social matching concepts such as: Sociability of others as an indicator of opportune social context; activity involvement as an indicator of opportune personal context; and contextual rarity as an indicator of opportune relational context.

Original languageEnglish (US)
Title of host publicationCHI 2015 - Proceedings of the 33rd Annual CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationCrossings
PublisherAssociation for Computing Machinery
Pages545-554
Number of pages10
ISBN (Electronic)9781450331456
DOIs
StatePublished - Apr 18 2015
Event33rd Annual CHI Conference on Human Factors in Computing Systems, CHI 2015 - Seoul, Korea, Republic of
Duration: Apr 18 2015Apr 23 2015

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
Volume2015-April

Other

Other33rd Annual CHI Conference on Human Factors in Computing Systems, CHI 2015
Country/TerritoryKorea, Republic of
CitySeoul
Period4/18/154/23/15

All Science Journal Classification (ASJC) codes

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

Keywords

  • Chance encounters
  • Context-aware social matching
  • Introduction systems
  • Social recommender systems

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