DocumentCode
104550
Title
Example of a Complementary Use of Model Checking and Human Performance Simulation
Author
Gelman, Gabriel ; Feigh, Karen M. ; Rushby, John
Author_Institution
Sch. of Aerosp. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Volume
44
Issue
5
fYear
2014
fDate
Oct. 2014
Firstpage
576
Lastpage
590
Abstract
Aircraft automation designers are faced with the challenge to develop and improve automation such that it is transparent to the pilots using it. To identify problems that may arise between pilots and automation, methods are needed that can uncover potential problems with automation early in the design process. In this paper, simulation and model checking are combined and their respective advantages leveraged to find problematic human-automation interaction using methods that would be available early in the design process. A particular problem of interest is automation surprises, which describe events when pilots are surprised by the actions of the automation. The Tarom flight 381 incident involving the former Airbus automatic speed protection logic, leading to an automation surprise, is used as a common case study. Results of this case study indicate that both methods identified the automation surprise found in the Tarom flight 381 incident, and that the simulation identified additional automation surprises associated with that flight logic. The work shows that the methods can be symbiotically combined, and the joint method is suitable to identify problematic human-automation interaction such as automation surprise.
Keywords
aerospace control; aerospace engineering; aircraft; formal verification; human computer interaction; human factors; Tarom flight 381 incident; airbus automatic speed protection logic; aircraft automation; automation surprise; flight logic; formal methods; human performance simulation; model checking; problematic human-automation interaction; Aircraft; Analytical models; Atmospheric modeling; Automation; Cognitive science; Mathematical model; Model checking; Automation surprise; formal methods; mental model; model checking; simulation;
fLanguage
English
Journal_Title
Human-Machine Systems, IEEE Transactions on
Publisher
ieee
ISSN
2168-2291
Type
jour
DOI
10.1109/THMS.2014.2331034
Filename
6861991
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