Human Performance Risks and Benefits of Adaptive Systems on the Flight Deck

dc.contributor.author Dorneich, Michael
dc.contributor.author Rogers, William
dc.contributor.author Whitlow, Stephen
dc.contributor.author DeMers, Robert
dc.contributor.author Dorneich, Michael
dc.contributor.department Aerospace Engineering
dc.contributor.department Virtual Reality Applications Center
dc.contributor.department Industrial and Manufacturing Systems Engineering
dc.contributor.department Human Computer Interaction
dc.date 2018-02-18T05:10:10.000
dc.date.accessioned 2020-06-30T04:49:19Z
dc.date.available 2020-06-30T04:49:19Z
dc.date.copyright Fri Jan 01 00:00:00 UTC 2016
dc.date.embargo 2017-11-04
dc.date.issued 2016-11-04
dc.description.abstract <p>Objective. Human performance risks and benefits of adaptive systems were identified through a systematic analysis and pilot evaluation of adaptive system component types and characteristics. Background. As flight-deck automation is able to process ever more types of information in sophisticated ways to identify situations, it is becoming more realistic for adaptive systems to adapt behavior based on their own authority. Method. A framework was developed to describe the types and characteristics of adaptive system components and was used to perform a risk/benefit analysis to identify potential issues. Subsequently, eight representative adaptive system storyboards were developed for an evaluation with pilots to augment the analysis results and to explore more detailed issues and potential risk mitigations. Results. Analysis identified the principal drivers of adaptive “triggering conditions” risk as complexity and transparency. It also identified the drivers of adaptations risks/benefits as the task level and the level of control vs. information adaptation. Conclusions. Pilots did not seem to distinguish between adaptive automation and normal automation if the rules were simple and obvious; however, their perception of risk increased when the level of complexity and opacity of triggering conditions reached a point where its behavior was perceived as non-deterministic.</p>
dc.description.comments <p>This is a manuscript of an article from <em>The International Journal of Aviation Psychology </em>26 (2016): 15, <a href="http://dx.doi.org/10.1080/10508414.2016.1226834" target="_blank">doi: 10.1080/10508414.2016.1226834</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/imse_pubs/99/
dc.identifier.articleid 1099
dc.identifier.contextkey 9786573
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath imse_pubs/99
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/44623
dc.source.bitstream archive/lib.dr.iastate.edu/imse_pubs/99/2016_Dorneich_HumanPerformance.pdf|||Sat Jan 15 02:39:14 UTC 2022
dc.source.uri 10.1080/10508414.2016.1226834
dc.subject.disciplines Ergonomics
dc.subject.disciplines Industrial Engineering
dc.subject.disciplines Systems Engineering and Multidisciplinary Design Optimization
dc.subject.keywords adaptive automation
dc.subject.keywords human-automation interaction
dc.subject.keywords flight-deck design
dc.subject.keywords risk and benefit analysis
dc.title Human Performance Risks and Benefits of Adaptive Systems on the Flight Deck
dc.type article
dc.type.genre article
dspace.entity.type Publication
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