Applying Response Surface Methodology to Problems of Target Acquisition

Williges, Robert C.; Simon, Charles W.

doi:10.1177/001872087101300602

Cited by 25 publications

(8 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…That is, a second order model was assumed. This assumption has been successful in the past (Soliday, 1974;Williges, 1971;Craig and Hershberger, 1977).…”

Section: Data Base (Test Target) Design For Interpretability/quality mentioning

confidence: 98%

Radar Image Interpretability Analysis.

Frost¹,

Stiles²,

Holtzman³

1981

View full text Add to dashboard Cite

“…That is, a second order model was assumed. This assumption has been successful in the past (Soliday, 1974;Williges, 1971;Craig and Hershberger, 1977).…”

Section: Data Base (Test Target) Design For Interpretability/quality mentioning

confidence: 98%

Radar Image Interpretability Analysis.

Frost¹,

Stiles²,

Holtzman³

1981

View full text Add to dashboard Cite

“…The CCD has several mathematical advantages for developing and testing the adequacy of empirical models and some disadvantages for building global prediction equations. Williges and Simon (1971) provide a detailed discussion of several advantages and limitations of CCD for human factors and ergonomics research. Second-order models developed from CCD data are polynomial regression prediction equations that predict performance as a function of several quantitative predictors (i.e., factors).…”

Section: Advantages and Limitations Advantages And Limitationsmentioning

confidence: 99%

Human Factors Experimental Design and Analysis Reference

Willages¹

2007

View full text Add to dashboard Cite

Approved for public release; distribution is unlimited.ii REPORT DOCUMENTATION PAGEForm Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. REPORT DATE (DD-MM-YYYY)July 2007 ARL-RP-0186 SPONSOR/MONITOR'S ACRONYM(S) 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) SPONSOR/MONITOR'S REPORT NUMBERS DISTRIBUTION/AVAILABILITY STATEMENTApproved for public release; distribution is unlimited. SUPPLEMENTARY NOTESThe contracting officer's representative (COR) is Sam Middlebrooks, U.S. Army Research Laboratory, ATTN: AMSRD-ARL-HR-MV, Fort Hood, TX, telephone number 254-288-9379. ABSTRACTCADRE (computer-aided design reference for experiments) is a desktop computer tool for human factors and ergonomic researchers. The tool is in Acrobat 1 format for cross-platform computer use and has more than 500 bookmarks for information search. This tool provides more than 850 Power-Point 2 note pages of applied experimental design and analysis reference material. The reference material covers 25 topics and is divided into five major sections including introduction to experimental design, supplemental data collection design and analysis, basic analysis of variance (ANOVA) designs, advanced ANOVA designs, and empirical model building. References to the scientific literature are provided in each topic for supplemental reading. The CADRE tool also provides more than 200 pages explaining 40 examples of statistical analyses covered by the reference material. These examples are hyperlinked to Version 9.1.3 of the SAS 3 (2004) statistical analysis software, and the sample SAS programs can be easily modified for user-specific data.

show abstract

“…The linear and higher order components of the IV responses could then be considered according to their response surfaces for a more complete look at overall system response (Simon, 1968;Simon, 1976;Williges and Simon, 1970;Williges and Simon, 1971). …”

Section: Topics For Future Researchmentioning

confidence: 99%

The Compass Paradigm for the Systematic Evaluation of U.S. Army Command and Control Systems Using Neural Network and Discrete Event Computer Simulation

Middlebrooks¹,

Jones²,

Henry³

2005

View full text Add to dashboard Cite

(ABSTRACT)In today's technology based society the rapid proliferation of new machines and systems that would have been undreamed of only a few short years ago has become a way of life. Developments and advances especially in the areas of digital electronics and micro-circuitry have spawned subsequent technology based improvements in transportation, communications, entertainment, automation, the armed forces, and many other areas that would not have been possible otherwise. This rapid "explosion" of new capabilities and ways of performing tasks has been motivated as often as not by the philosophy that if it is possible to make something better or work faster or be more cost effective or operate over greater distances then it must inherently be good for the human operator. Taken further, these improvements typically are envisioned to consequently produce a more efficient operating system where the human operator is an integral component. The formal concept of human-system interface design has only emerged this century as a recognized academic discipline, however, the practice of developing ideas and concepts for systems containing human operators has been in existence since humans started experiencing cognitive thought.An example of a human system interface technology for communication and dissemination of written information that has evolved over centuries of trial and error development, is the book. It is no accident that the form and shape of the book of today is as it is. This is because it is a shape and form readily usable by human physiology whose optimal configuration was determined by centuries of effort and revision. This slow evolution was mirrored by a rate of technical evolution in printing and elsewhere that allowed new advances to be experimented with as part of the overall use requirement and need for the existence of the printed word and some way to contain it. Today, however, technology is advancing at such a rapid rate that evolutionary use requirements have no chance to develop along side the fast pace of technical progress. One result of this recognition is the establishment of disciplines like human factors engineering that have stated purposes and goals of systematic determination of good and bad human system interface designs. However, other results of this phenomenon are systems that get developed and placed into public use simply because new technology allowed them to be made. This development can proceed without a full appreciation of how the system might be used and, perhaps even more significantly, what impact the use of this new system might have on the operator within it.The U.S. Army has a term for this type of activity. It is called "stove-piped development." The implication of this term is that a system gets developed in isolation where the developers are only looking "up" and not "around." They are thus concerned only with how this system may work or be used for its own singular purposes as opposed to how it might be used in the larger community of existing systems and interfaces...

show abstract

Applying Response Surface Methodology to Problems of Target Acquisition

Cited by 25 publications

References 16 publications

Radar Image Interpretability Analysis.

Radar Image Interpretability Analysis.

Human Factors Experimental Design and Analysis Reference

The Compass Paradigm for the Systematic Evaluation of U.S. Army Command and Control Systems Using Neural Network and Discrete Event Computer Simulation

Contact Info

Product

Resources

About