Online dating coaches' user evaluation strategies

Doug Zytko, Sukeshini A. Grandhi, Quentin Jones

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

8 Scopus citations


Users of online dating systems want to evaluate each other to predict who they will be attracted to in-person. Prior research into evaluation of online dating profiles has shown how users struggle to evaluate physical attractiveness and demographic traits because of deception. Yet we have little knowledge about successful user evaluation strategies, or evaluation of other traits known to influence attraction like personality. We addressed these gaps in knowledge through an interview study of professional online dating coaches (n=27) to extract their self-proclaimed successful user evaluation strategies for 3 categories of traits derived from attraction literature: physical appearance, demographics & values, and personality. We then interpreted these strategies through the lens of theories germane to attraction-Nisbett and Wilson's theory of introspection, Asch's theory of person perception, and Signaling theory.

Original languageEnglish (US)
Title of host publicationCHI EA 2016
Subtitle of host publication#chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
Number of pages7
ISBN (Electronic)9781450340823
StatePublished - May 7 2016
Event34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016 - San Jose, United States
Duration: May 7 2016May 12 2016

Publication series

NameConference on Human Factors in Computing Systems - Proceedings


Other34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016
Country/TerritoryUnited States
CitySan Jose

All Science Journal Classification (ASJC) codes

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


  • Impression formation
  • Online dating
  • Signaling theory


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