Designing for Collective Intelligence.

The article offers a framework for designing specialized collective intelligence applications and illustrates how it can be applied through the development of a specialized collective intelligence prototype. Applications have generally focused on improving specific job functions but the collective i...

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Publicado en:Communications of the ACM Vol. 53; no. 4; pp. 134 - 139
Autor principal: GREGG, DAWN G.
Formato: Artículo
Publicado: Association for Computing Machinery Apr2010
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        au: GREGG, DAWN G.
        affil: Associate professor of Information Systems, University of Colorado, Denver.
      su:
        Swarm intelligence
        Prototypes
        Application software
        Computer science
        Data collection platforms
        Technological innovations & economics
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        subj:
          Swarm intelligence
          Prototypes
          Application software
          Computer science
          Data collection platforms
          Technological innovations & economics
      ab: The article offers a framework for designing specialized collective intelligence applications and illustrates how it can be applied through the development of a specialized collective intelligence prototype. Applications have generally focused on improving specific job functions but the collective intelligence prototype focuses on gathering the intelligence of groups of people to enable better productivity and decisions. The processes involved in designing and implementing specialized collective intelligence applications including DDtrac, which is a Web-based application that allows for the collection and summary of special education data, is discussed.
      pubtype: Periodical
      doctype: Article
      src: R
    language: English
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