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James R. Buck

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Publications by James R. Buck (bibliography)

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1993
 
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Clough, Jill M. and Buck, James R. (1993): Plant Layout Ergonomics: Impact of Problem and Solver Features on Layout Quality. In: Proceedings of the Human Factors and Ergonomics Society 37th Annual Meeting 1993. pp. 468-471.

A study of people solving facility layout problems was made to estimate the effects of problem features on the quality of solutions obtained by novice and experienced subjects. An empirical experiment was conducted. Three features of these problems which were systematically varied in this study were: 1. Problem size, 2. Fraction of strong inter-departmental relationships, and 3. Fraction of departments requiring a non-standard amount of floor space. Both quantitative and subjective layout evaluations were made. It was found that layout quality was not affected by feature 3 for any values of the other features, using either evaluation method, and with either novice or experienced subjects. However, feature 2 proved to be significant for all experimental conditions, both evaluation methods, and with both subject groups. Feature 1 was a significant feature in some situations, but was not significant in others. Some differences in problem solving approaches were observed. There was a significant relationship between the design of higher quality layouts by experienced subjects and the use of a Relationship Diagram. Reducing the problem size and/or percentage of strong inter-departmental relationships in a problem may make a higher quality layout easier to achieve.

© All rights reserved Clough and Buck and/or Human Factors Society

1991
 
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Buck, James R., Leamon, Tom B., Kreifeldt, John G., Konz, Stephan and Drury, Colin G. (1991): Human Factors Design. In: Proceedings of the Human Factors Society 35th Annual Meeting 1991. pp. 534-535.

1978
 
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Buck, James R. and Hancock, Walton M. (1978): Manual Optimization of Ill-Structured Problems. In International Journal of Man-Machine Studies, 10 (2) pp. 95-111.

This paper describes an empirical study on human operators optimizing ill-structured problems over a variety of problem conditions. Performance and exploratory characteristics of the operators were examined as a function of these conditions relative to the random automatic optimization method. Manual optimization performance exceeded that of the automatic method under most conditions. In those problems containing more controls to be optimized and where there were few trials available, manual optimization was far more effective. Operator performance was impaired in solving problems which contained noise in the reported pay-off. Exploratory characteristics of these operators changed with the problem conditions. Based upon these characteristics, manual optimization may be described as a low-order gradient optimizer with adaptation to different problem conditions.

© All rights reserved Buck and Hancock and/or Academic Press

 
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Changes to this page (author)

26 Jun 2007: Modified
26 Jun 2007: Modified
28 Apr 2003: Added

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URL: http://www.interaction-design.org/references/authors/james_r__buck.html
Jun 19

... there are no simple 'right' answers for most web design questions (at least not for the important ones). What works is good, integrated design that fills a need--carefully thought out, well executed, and tested.

-- Steve Krug, Don't Make Me Think, p. 136

 
 

Featured chapter

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

Read Steve's chapter !

 
 

Latest books

The Social Design of Technical Systems: Building technologies for communities
by Brian Whitworth and Adnan Ahmad

 
Start reading

The Encyclopedia of Human-Computer Interaction, 2nd Ed.
by Mads Soegaard and Rikke Friis Dam

 
Start reading
 
 

Help us help you!