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Robert J. Lysaght

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Publication statistics

Pub. period:1987-1991
Pub. count:4
Number of co-authors:9

Co-authors

Number of publications with 3 favourite co-authors:

Susan G. Hill:3
Regina M. Harris:2
Carla J. Springer:1

Productive colleagues

Robert J. Lysaght's 3 most productive colleagues in number of publications:

Alvah C. Bittner:13
Susan G. Hill:12
Walter W. Wierwill..:8

Calendar

May 20

CTS 2013 - The 2013 Intl. Conf. on Collaboration Techn. and Systems

May 22

Knowing (by) Designing 2013

May 27

13th Intl. Conf. on New Interfaces for Musical Expression

May 19

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Robert J. Lysaght

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Publications by Robert J. Lysaght (bibliography)

1991

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Lysaght, Robert J., Springer, Carla J., Moritz, Robert R. and McCain, Jody E. (1991): A Multifaceted Approach to Enhance Operator Services for Regional Telephone Companies. In: Proceedings of the Human Factors Society 35th Annual Meeting 1991. pp. 1341-1345.

“Approximately 9 to 10 billion calls are handled by telephone operators of the Bell Operating Companies throughout the U.S.A. on a yearly basis. Bell Communications Research has an Operator Services Ergonomics district that employs a multifaceted approach to improving operator efficiency and comfort, and providing guidance on both the operator and customer human interfaces for new services. The approaches taken represent a recognition of several key factors that dictate and/or influence the type of test and evaluation conducted and how the results from such tests are conveyed to decision makers.”

1989

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Harris, Regina M., Hill, Susan G. and Lysaght, Robert J. (1989): Operator Workload Knowledge-Based Expert System Tool (OWLKNEST) Demonstration. In: Proceedings of the Human Factors Society 33rd Annual Meeting 1989. pp. 1140-1141.

“The Operator Workload Knowledge-based Expert System Tool (OWLKNEST) is a tool that provides guidance in selecting the most appropriate technique(s) for estimating or predicting Operator Workload (OWL). This demonstration will provide hands-on usage for interested parties in utilizing OWLKNEST to determine the most appropriate OWL technique for their particular situation, interpreting the resulting outputs, and performing sensitivity analysis to assess the impact of changing responses.”

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Harris, Regina M., Hill, Susan G. and Lysaght, Robert J. (1989): OWLKNEST: An Expert System to Provide Operator Workload Guidance. In: Proceedings of the Human Factors Society 33rd Annual Meeting 1989. pp. 1486-1490.

“The Operator Workload Knowledge-based Expert System Tool (OWLKNEST) is a microcomputer-based tool that provides guidance in selecting the most appropriate technique to use for estimating Operator Workload (OWL) for developing Army systems. OWLKNEST is based on twenty years of workload research and on knowledge gained in the three-year Army Research Institute OWL Program. The design approach is presented along with a general description of targeted users and knowledge representation scheme. The criteria used to evaluate available OWL techniques for inclusion in the system are also presented. Sample system applications are presented which illustrate how OWLKNEST can be used for a variety of needs.”

1987

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Hill, Susan G., Plamondon, Brian D., Wierwille, Walter W., Lysaght, Robert J., Dick, A. O. and Bittner, Alvah C. (1987): Analytic Techniques for the Assessment of Operator Workload. In: Proceedings of the Human Factors Society 31st Annual Meeting 1987. pp. 368-372.

“Workload techniques may be divided into two broad classes: 1) Analytic techniques -- predictive techniques that may be applied early in system design before "operator-in-the-loop" studies; and 2) Empirical techniques -- workload measurements taken with "operator-in-the-loop" during simulator, prototype, or system evaluations. Described here are five categories of the analytic techniques: 1) Comparability Analysis; 2) Mathematical Models; 3) Expert Opinion; 4) Task Analytic Methods; and 5) Simulation Models. A description, with examples, is given for each category. The motivation for focusing on the analytic techniques lies in their application during the earliest stages of system development where the greatest design flexibility is available at the least cost.”

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