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See discussions, stats, and author profiles for this publication at: On the Design of Adaptive Automation for Complex Systems Article in International Journal of Cognitive Ergonomics · March 2001 DOI: 10.1207/S15327566IJCE0501_3 CITATIONS 99 READS 91 4 authors , including: Some of the authors of this publication are also working on these related projects: EHR design for primary care teamwork View project Display Clutter Modeling Research View project David B Kaber University of Florida 218 PUBLICATIONS 3,988 CITATIONS SEE PROFILE Jennifer M. Riley Design Interactive, Inc 39 PUBLICATIONS 496 CITATIONS SEE PROFILE Mica R. Endsley SA Technologies 202 PUBLICATIONS 18,050 CITATIONS SEE PROFILE All content following this page was uploaded by David B Kaber on 05 June 2014. The user has requested enhancement of the downloaded file.
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On the Design of Adaptive Automation for Complex Systems David B. Kaber Department of Industrial Engineering North Carolina State University Jennifer M. Riley and Kheng-Wooi Tan Department of Industrial Engineering Mississippi State University Mica R. Endsley SA Technologies Marietta, Georgia ABSTRACT This article presents a constrained review of human factors issues relevant to adaptive automation (AA), including designing complex system interfaces to support AA, facilitating human–computer in- teraction and crew interactions in adaptive system operations, and considering workload associated with AA management in the design of human roles in adaptive systems. Unfortunately, these issues have received limited attention in earlier reviews of AA. This work is aimed at supporting a general the- ory of human-centered automation advocating humans as active information processors in complex system control loops to support situation awareness and effective performance. The review demon- strates the need for research into user-centered design of dynamic displays in adaptive systems. It also points to the need for discretion in designing transparent interfaces to facilitate human awareness of modes of automated systems. Finally, the review identifies the need to consider critical human–human interactions in designing adaptive systems. This work describes important branches of a developing framework of AA research and contributes to the general theory of human-centered automation. 1. INTRODUCTION Adaptive automation (AA) has been described as a form of automation that allows for dy- namic changes in control function allocations between a machine and human operator based on states of the collective human–machine system (Hilburn, Byrne, & Parasuraman, 1997; Kaber & Riley, 1999). Interest in dynamic function allocation (DFA, or flexible automation) INTERNATIONAL JOURNAL OF COGNITIVE ERGONOMICS, 2001, 5 (1), 37–57 Copyright © 2001, Lawrence Erlbaum Associates, Inc.
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