That's what friends are for: Facilitating 'who knows what' across group boundaries

N. Sadat Shami, Y. Connie Yuan, Dan Cosley, Ling Xia, Geri Gay

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

17 Citations (Scopus)

Abstract

We describe the design and evaluation of K-net, a social matching system to help people learn 'who knows what' in an organization by matching people with skills with those who need them. Transactive memory theory predicts that K-net will improve individuals' awareness of 'who knows what'. This should lead to improved performance through sharing knowledge across group boundaries. We evaluate K-net in terms of these predictions in an experiment with 41 students in seven groups working on software engineering projects. Accurate recommendations improved awareness of 'who knows what' versus 'random' recommendations, but did not improve performance. Our results highlight issues related to the evaluation of systems for sharing knowledge across group boundaries.

Original languageEnglish
Title of host publicationGROUP'07 - Proceedings of the 2007 International ACM Conference on Supporting Group Work
Pages379-382
Number of pages4
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 International ACM Conference on Supporting Group Work, GROUP'07 - Sanibel Island, FL, United States
Duration: 4 Nov 20077 Nov 2007

Publication series

NameGROUP'07 - Proceedings of the 2007 International ACM Conference on Supporting Group Work

Conference

Conference2007 International ACM Conference on Supporting Group Work, GROUP'07
Country/TerritoryUnited States
CitySanibel Island, FL
Period4/11/077/11/07

Keywords

  • Experimentation
  • Expertise
  • Friendship
  • Recommender systems
  • Social network analysis
  • Transactive memory system

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