Augmenting team cognition in human-automation teams performing in complex operational environments

    Authors

    H. M. Cuevas; S. M. Fiore; B. S. Caldwell;L. Strater

    Comments

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

    Abbreviated Journal Title

    Aviat. Space Environ. Med.

    Keywords

    automation technology; human-automation interaction; intelligent agents; semi-autonomous robots; team coordination; cognitive processes; metacognitive processes; SITUATION AWARENESS; COORDINATION; INFORMATION; LEVEL; Public, Environmental & Occupational Health; Medicine, General &; Internal; Sport Sciences

    Abstract

    There is a growing reliance on automation (e.g., intelligent agents, semi-autonomous robotic systems) to effectively execute increasingly cognitively complex tasks. Successful team performance for such tasks has become even more dependent on team cognition, addressing both human-human and human-automation teams. Team cognition can be viewed as the binding mechanism that produces coordinated behavior within experienced teams, emerging from the interplay between each team member's individual cognition and team process behaviors (e.g., coordination, communication). In order to better understand team cognition in human-automation teams, team performance models need to address issues surrounding the effect of human-agent and human-robot interaction on critical team processes such as coordination and communication. Toward this end, we present a preliminary theoretical framework illustrating how the design and implementation of automation technology may influence team cognition and team coordination in complex operational environments. Integrating constructs from organizational and cognitive science, our proposed framework outlines how information exchange and updating between humans and automation technology may affect lower-level (e.g., working memory) and higher-level (e.g., sense making) cognitive processes as well as teams' higher-order "metacognitive" processes (e.g., performance monitoring). Issues surrounding human-automation interaction are discussed and implications are presented within the context of designing automation technology to improve task performance in human-automation teams.

    Journal Title

    Aviation Space and Environmental Medicine

    Volume

    78

    Issue/Number

    5

    Publication Date

    1-1-2007

    Document Type

    Review

    Language

    English

    First Page

    B63

    Last Page

    B70

    WOS Identifier

    WOS:000246460800010

    ISSN

    0095-6562

    Share

    COinS