Pair research: Matching people for collaboration, learning, and productivity

Robert C. Miller, Haoqi Zhang, Eric Gilbert, Elizabeth M Gerber

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

7 Scopus citations

Abstract

To increase productivity, informal learning, and collaborations within and across research groups, we have been experimenting with a new kind of interaction that we call pair research, in which members are paired up weekly to work together on each other's projects. In this paper, we present a system for making pairings and present results from two deployments. Results show that members used pair research in a wide variety of ways including pair programming, user testing, brainstorming, and data collection and analysis. Pair research helped members get things done and share their expertise with others.

Original languageEnglish (US)
Title of host publicationCSCW 2014 - Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work and Social Computing
PublisherAssociation for Computing Machinery
Pages1043-1048
Number of pages6
ISBN (Print)9781450325400
DOIs
StatePublished - Jan 1 2014
Event17th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2014 - Baltimore, MD, United States
Duration: Feb 15 2014Feb 19 2014

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Other

Other17th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2014
CountryUnited States
CityBaltimore, MD
Period2/15/142/19/14

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Networks and Communications

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  • Cite this

    Miller, R. C., Zhang, H., Gilbert, E., & Gerber, E. M. (2014). Pair research: Matching people for collaboration, learning, and productivity. In CSCW 2014 - Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work and Social Computing (pp. 1043-1048). (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW). Association for Computing Machinery. https://doi.org/10.1145/2531602.2531703