Asking the right person: Supporting expertise selection in the enterprise

Svetlana Yarosh, Tara Matthews, Michelle Zhou

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

20 Scopus citations

Abstract

Expertise selection is the process of choosing an expert from a list of recommended people. This is an important and nuanced step in expertise location that has not received a great deal of attention. Through a lab-based, controlled investigation with 35 enterprise workers, we found that presenting additional information about each recommended person in a search result list led participants to make quicker and better-informed selections. We also asked participants to rate the type of information that might be most useful for expertise selection on a paper prototype containing 36 types of potentially helpful information. We identified sixteen types of this information that may be most useful for various expertise selection tasks. These results focus attention on a currently understudied aspect of expertise location-expertise selection-that could greatly improve the usefulness of supporting systems.

Original languageEnglish (US)
Title of host publicationConference Proceedings - The 30th ACM Conference on Human Factors in Computing Systems, CHI 2012
Pages2247-2256
Number of pages10
DOIs
StatePublished - 2012
Event30th ACM Conference on Human Factors in Computing Systems, CHI 2012 - Austin, TX, United States
Duration: May 5 2012May 10 2012

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Other

Other30th ACM Conference on Human Factors in Computing Systems, CHI 2012
Country/TerritoryUnited States
CityAustin, TX
Period5/5/125/10/12

Keywords

  • Expertise location
  • Expertise recommender systems
  • Expertise selection
  • Office

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