Measuring team knowledge

    Authors

    N. J. Cooke; E. Salas; J. A. Cannon-Bowers;R. J. Stout

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Abbreviated Journal Title

    Hum. Factors

    Keywords

    MENTAL MODELS; PERFORMANCE; SYSTEMS; IMPACT; Behavioral Sciences; Engineering, Industrial; Ergonomics; Psychology, ; Applied; Psychology

    Abstract

    Multioperator tasks often require complex cognitive processing at the team level. Many team cognitive processes, such as situation assessment and coordination, are thought to rely on team knowledge. Team knowledge is multifaceted and comprises relatively generic knowledge in the form of team mental models and more specific team situation models. In this methodological review paper, we review recent efforts to measure team knowledge in the context of mapping specific methods onto features of targeted team knowledge. Team knowledge features include type, homogeneity versus heterogeneity, and rate of knowledge change. Measurement features include knowledge elicitation method, team metric, and aggregation method. When available, we highlight analytical conclusions or empirical data that support a connection between team knowledge and measurement method. In addition, we present empirical results concerning the relation between team knowledge and performance for each measurement method and identify research and methodological needs. Addressing issues surrounding the measurement of team knowledge is a prerequisite to understanding team cognition and its relation to team performance and to designing training programs or devices to facilitate team cognition.

    Journal Title

    Human Factors

    Volume

    42

    Issue/Number

    1

    Publication Date

    1-1-2000

    Document Type

    Article

    Language

    English

    First Page

    151

    Last Page

    173

    WOS Identifier

    WOS:000087933600010

    ISSN

    0018-7208

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