Abstract

The widespread popularity and adoption of social information systems ranging from social networking systems to social book marking systems has resulted in an increased research focus on studying user interactions in such systems. Recent research literature has reported on analysis of large datasets of logs of social interactions as a way to describe the structure of these systems and to characterize individual behavior. There is significantly limited research on cognitive behavior of individual users in social information systems. Research on individual behavior can help us develop nuanced perspectives of social information use and can provide insights for developing more effective systems for users.

Original languageEnglish
Title of host publicationCHI 2010 - The 28th Annual CHI Conference on Human Factors in Computing Systems, Conference Proceedings and Extended Abstracts
Pages4485-4488
Number of pages4
DOIs
StatePublished - 2010
Event28th Annual CHI Conference on Human Factors in Computing Systems, CHI 2010 - Atlanta, GA, United States
Duration: Apr 10 2010Apr 15 2010

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference28th Annual CHI Conference on Human Factors in Computing Systems, CHI 2010
Country/TerritoryUnited States
CityAtlanta, GA
Period04/10/1004/15/10

Keywords

  • Cognition
  • Modeling
  • Social information systems
  • User behavior

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