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ReferencesNavigation arrowAuthorsNavigation arrowCharles L. Hulin
May 23

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Charles L. Hulin

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Publications by Charles L. Hulin (bibliography)

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1989
 
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Wickens, Christopher D., Marsh, Roger, Raby, Mireille, Straus, Susan, Cooper, Russell S., Hulin, Charles L. and Switzer, Fred (1989): Aircrew Performance as a Function of Automation and Crew Composition: A Simulator Study. In: Proceedings of the Human Factors Society 33rd Annual Meeting 1989. pp. 792-796.

“In an experiment designed to examine the effect of crew composition and automation level on flight performance, fifty pilot-copilot crews flew a simulated instrument flight mission between three Michigan cities. Half of the crews were of homogeneous composition (both low or both high time), while half were heterogeneous consisting of one senior high time member and one junior low time member. Within each group, roughly half flew xxx with automated flight control and the other half flew manually. The flight was disrupted by periodic instrument failures. Results indicated that automation improved flight performance and lowered workload. While there was no overall difference in performance between homogeneous and heterogeneous crews, the latter group appeared to benefit more from the advantages that automation had to offer. The results are discussed in terms of the effect of automation on cockpit authority gradients, the role of flight experience, and of crew communications.”

© All rights reserved Wickens et al. and/or Human Factors Society

1988
 
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Hanisch, Kathy A., Kramer, Arthur F., Hulin, Charles L. and Schumacher, Robert (1988): Novice-Expert Differences in the Cognitive Representation of System Features: Mental Models and Verbalizable Knowledge. In: Proceedings of the Human Factors Society 32nd Annual Meeting 1988. pp. 219-223.

“The relationship between users' mental models and their verbalizable knowledge of a system were investigated in a field study. Trained and untrained users of a new phone system rated the similarity of use of nine phone features. Their ratings of the features were used in a multidimensional scaling technique and hierarchical cluster analysis to obtain their mental models of the system. Individuals' ratings of features on unidimensional scales about the use of the features and scores obtained on a knowledge test were reflected in their mental models. Mental models of the two novice groups' were very similar except for the perception of one feature; it was more accurately depicted in the mental model of users who attended than those who did not attend a training program. Trainers' and system designers' mental models of the phone system were evaluated to determine an "appropriate" expert mental model. A comparison of the "expert" mental model to the novices' mental models suggested that several features were inaccurately perceived by the novices. Using the discrepancies between the expert and novices' mental models to design training programs for systems is discussed. A novel way to design or redesign systems based on novices' mental models of systems is proposed.”

© All rights reserved Hanisch et al. and/or Human Factors Society

 
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Changes to this page (author)

16 Feb 2010: Modified
26 Jun 2007: Added
25 Jun 2007: Added

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URL: http://www.interaction-design.org/references/authors/charles_l__hulin.html
May 23

“ Knowledge is commonly socially constructed, through collaborative efforts towards shared objectives or by dialogues and challenges brought about by different persons' perspectives. ”

-- G. Salomon (in "Distributed Cognitions: Psychological and Educational Considerations")

 
 

Featured chapter

Read the fascinating history of Wearable Computing, told by its father, Steve Mann

Read Steve's chapter !

 
 

Help us help you!

 
 
 
 
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