Best of Both Worlds Design and Evaluation of an Adaptive Delegation Interface

The proliferation of unmanned aerial vehicles (UAVs) in civil and military domains has spurred increasingly complex automation design for augmenting operator abilities, reducing workload, and increasing mission effectiveness. We describe the Adaptive Interface Management System (AIMS), an intelligen...

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Bibliographic Details
Published inProceedings of the Human Factors and Ergonomics Society Annual Meeting Vol. 57; no. 1; pp. 255 - 259
Main Authors de Visser, Ewart, Kidwell, Brian, Payne, John, Lu, Li, Parker, James, Brooks, Nathan, Chabuk, Timur, Spriggs, Sarah, Freedy, Amos, Scerri, Paul, Parasuraman, Raja
Format Journal Article
LanguageEnglish
Published Los Angeles, CA SAGE Publications 01.09.2013
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Summary:The proliferation of unmanned aerial vehicles (UAVs) in civil and military domains has spurred increasingly complex automation design for augmenting operator abilities, reducing workload, and increasing mission effectiveness. We describe the Adaptive Interface Management System (AIMS), an intelligent adaptive delegation interface for controlling and monitoring multiple unmanned vehicles, with a mixed-initiative team model language. A study was conducted to assess understanding of this model language and whether participants exhibited calibrated trust in the intelligent automation. Results showed that operators had accurate memory for role responsibility and were well calibrated to the automation. Adaptive automation design approaches like the one described in this paper can be useful to create mixedinitiative human-robot teams.
ISSN:1541-9312
1071-1813
2169-5067
DOI:10.1177/1541931213571056