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ReferencesNavigation arrowAuthorsNavigation arrowR. Dale Huchingson
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. ”

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R. Dale Huchingson

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Publications by R. Dale Huchingson (bibliography)

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1995
 
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Greene, Frances A., Huchingson, R. Dale and Koppa, Rodger J. (1995): Comparison of Simulation and Field Legibility Distances for Symbol Highway Signs. In: Proceedings of the Human Factors and Ergonomics Society 39th Annual Meeting 1995. pp. 1147-1151.

“Past laboratory studies of warning symbol traffic signs have underestimated legibility distances by as much as a factor of two when compared with field studies. For this research, six warning symbol signs were investigated in both a field and laboratory setting using a group of older (over age 65) and young drivers. In the two settings, legibility distance, defined as the distance at which the sign is correctly identified, was collected. As a major part of this research, a new laboratory simulation technique was developed -- a methodology which optimizes factors criticized in earlier studies, thus increasing fidelity. Previously reported large within-subject variability, evident in both age groups, was found to diminish contributions of experimental variables (Greene, Koppa, Zellner, and Congleton, 1994). Correlation coefficients between laboratory and field legibility distances were computed and appear very promising. The newly developed laboratory simulation was a successful first step in correcting problems associated with laboratory studies of the past.”

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

1989
 
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Layton, Terre L., Ellis, Newton C. and Huchingson, R. Dale (1989): A Delphi Algorithm that Integrates Knowledge for Expert System Development. In: Proceedings of the Human Factors Society 33rd Annual Meeting 1989. p. 1159.

“A rapid growth of expert system development in various fields of study will likely occur in this decade. Two prerequisites are needed in order for this to happen: strong social need and technical feasibility. Given that both factors presently exist, a few areas where expert systems can help significantly Include: (1) providing an Interactively accessible source of updated and well-organized knowledge, and (2) assisting a user in decision making. The current research reviews areas of Artificial Intelligence that relate to the process of knowledge acquisition for expert systems. Until very recently, the primary technique for knowledge acquisition has been the time-consuming process of interviews. Typical techniques include: structured and unstructured interviews, questionnaires, and verbal reporting which incorporates protocol analysis. The functions involved in one or more of the techniques encompass extraction of meaning, data inference, and rule induction coupled with retrospective comment analysis, and behavioral observations. The purpose of the current research is to explore different avenues for data acquisition when dealing with multiple knowledge sources with the objective to develop an automated technique for knowledge acquisition. The Delphi Technique is the primary technique investigated in this study, and the result is the Delphi Manager algorithm which is based on the original version of the Delphi Exercise modified to benefit the expert system development process. Other users of the algorithm include: (1) model verification and validation, (2) forecasting, and (3) opinion polls for policy decision making. Although there are additional uses, the Delphi Manager is primarily formulated for the expert system development process. The Delphi Manager was validated by using an existing knowledge base (KB) that was compiled by a paper and pencil version of the Delphi Technique. This existing KB was part of a dissertation by Randall F. Scott entitled "A Computer Programmer Productivity Prediction Model." The Delphi Manager has the potential to reduce significantly the time needed to collect and analyze new data. In addition, its user-friendly interface reduces the need for an advanced computer user either to build a questionnaire or to install a help facility. The program provides context sensitive help which is input by the developer through a series of templates. The Delphi Manager is also flexible enough to accommodate anyone from a novice to an advanced programmer. Improvements are suggested that are designed to provide additional program functionality and applications.”

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

 
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Changes to this page (author)

27 Jun 2007: Modified
26 Jun 2007: Added

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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!

 
 
 
 
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