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The automation design advisor tool (ADAT): Development and validation of a model‐based tool to support flight deck automation design for nextgen operations
Authors:Angelia Sebok  Christopher Wickens  Nadine Sarter  Stacey Quesada  Connie Socash  Brian Anthony
Affiliation:1. Alion Science and Technology, MA&D Operation, Boulder, Colorado, USA;2. Department of Industrial and Operations Engineering, Center for Ergonomics, University of Michigan, Ann Arbor, Michigan, USA
Abstract:NextGen aviation will require an even greater reliance on automation than current‐day operations. Therefore, systems with problems in human–automation interaction must be identified and resolved early, well before they are introduced into operation. This paper describes a research and software development effort to build a prototype automation design advisor tool (ADAT) for flight deck automation. This tool uses models of human performance to identify perceptual, cognitive, and action‐related inefficiencies in the design of flight management systems. Aviation designers can use the tool to evaluate and compare potential flight deck automation designs and to identify potential human–automation interaction concerns. Designers can compare different flight management systems in terms of specific features and their ability to support pilot performance. ADAT provides specific, research‐based guidance for resolving problematic design issues. It was specifically designed to be flexible enough for both current‐day technologies and revolutionary NextGen designs. © 2012 Wiley Periodicals, Inc.
Keywords:Automation  Cognitive  Modeling  Interaction  NextGen
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