Asking the right person: supporting expertise selection in the enterprise

  • Authors:
  • Svetlana Yarosh;Tara Matthews;Michelle Zhou

  • Affiliations:
  • Georgia Institute of Technology, Atlanta, Georgia, United States;IBM Almaden, San Jose, California, United States;IBM Almaden, San, California, United States

  • Venue:
  • Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  • Year:
  • 2012

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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 the participants to make quicker and better-informed selections. These results focus attention on a currently understudied aspect of expertise location--expertise selection--that could greatly improve the usefulness of supporting systems. 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.