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Type of publication:Inproceedings
Entered by:MA
TitleModels for Automation: Learning from Autopilot Design
Bibtex cite IDAmelink2006b
Booktitle Proceedings of the International Conference on Human -- Computer Interaction (HCI-Aero 2006)
Year published 2006
Month September
Pages 160-163
Publisher Cépaduès-Éditions, Toulouse, France
Organization EURISCO
Address 20-22 September 2006, Seattle, Washington, USA
Keywords autopilot design,levels of automation
Abstract
Choice of an incorrect representation for the design of automation can dramatically increase system complexity. Principles from Cognitive Systems Engineering (CSE), which can be used to identify good representations about the way the ‘world works’, provide a good starting point for automation design. This paper discusses, that by choosing the right model for automation design the added complexity can be limited. But what is the right model for automation? The model of the environment, or ecology, is preferred above the mental models that human operators have developed through interacting with the system. The technology has altered the work environment of the human operator and can have implied to complex or too simplified mental models. A too complex mental model will bring a too high cognitive load and a simplified mental model will not be sufficient in all situations. Using the ecology as the basis for the model of automation, the complexity of the automation is constrained to that of the actual environment with a minimum share of automation induced complexity. To illustrate this we considered the design of a conventional autopilot and one based on total energy control and discuss the mental model pilots have for energy control. Energy control is the fundamental physics of flight. It is part of the environment thus ecology for pilots and a proper understanding of energy control helps the pilot to deal with unanticipated event as the mountain wave condition.
Authors
Amelink, Matthijs
Mulder, Max
van Paassen, Rene
Lintern, Gavan
Solodilova-Whiteley, Iya
Editors
Reuzeau, Florence
Corker, Kevin
Boy, Guy
Topics
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