Publication statistics

Pub. period:1987-1995
Pub. count:7
Number of co-authors:12



Co-authors

Number of publications with 3 favourite co-authors:

Wayne Zachary:4
Allen L. Zaklad:3
Janine A. Purcell:3

 

 

Productive colleagues

Joan M. Ryder's 3 most productive colleagues in number of publications:

Wayne Zachary:18
Richard E. Redding:10
Thomas L. Seamster:10
 
 
 
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Joan M. Ryder

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Publications by Joan M. Ryder (bibliography)

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1995
 
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Zachary, Wayne and Ryder, Joan M. (1995): Integrated Cognitive/Behavioral Task Analysis in Real-Time Domains. In: Proceedings of the Human Factors and Ergonomics Society 39th Annual Meeting 1995. .

1993
 
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Zachary, Wayne, Zaklad, Allen L., Hicinbothom, James H., Ryder, Joan M. and Purcell, Janine A. (1993): COGNET Representation of Tactical Decision-Making in Anti-Air Warfare. In: Proceedings of the Human Factors and Ergonomics Society 37th Annual Meeting 1993. pp. 1112-1116.

Human tactical decision making in Naval Anti-Air Warfare (AAW) is time-critical and is performed in a multiple-task, team-based environment. These aspects make this domain extremely challenging for traditional cognitive modeling techniques. The COGNET (COGnition as a NEtwork of Tasks) framework, however, is inherently designed for real-time, multi-tasking work, and, with extensions to accommodate team decision processes, proved suitable for modeling AAW decision making in the Navy's Tactical Decision Making Under Stress (TADMUS) program. A COGNET model of AAW domain expertise is described, along with Decision-Support System (DSS) design principles derived from the COGNET AAW model and the underlying COGNET framework.

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

1992
 
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Ryder, Joan M., Zaklad, Allen L., Zachary, Wayne and Purcell, Janine A. (1992): A Cognitive Framework for Integrated Embedded Training and Decision Aiding. In: Proceedings of the Human Factors Society 36th Annual Meeting 1992. pp. 1269-1273.

This research has developed a theoretically-based cognitive model and design framework for Integrated Decision Aiding/Training Embedded Systems (IDATES). Based on a review of empirical studies of novice-expert differences and of theoretical and computational models of skill acquisition, we defined a three-stage cognitive hierarchy model as the basis for our IDATES framework. The levels of novice, intermediate, and expert are discrete stages which differ along two primary dimensions: problem representation and problem-solving procedure. Both decision aiding and training must be targeted to the problem representation and cognitive processes of the user/trainee. Thus, there must be three levels of decision aiding targeted to novice, intermediate, and expert decision makers. Furthermore, there are two types of training: incremental training to improve performance within each of the three expertise levels, and representational training to elicit a jump to the next higher level of problem representation. Two implications arise from the IDATES cognitive model. First, integrated cognitive/behavioral task analyses are able to drive both the embedded training requirements and the decision aiding requirements, although the three skill levels must be separately addressed. Second, a single integrated architecture can underlie all the decision aiding and embedded training components of a given IDATES application.

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

1991
 
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Redding, Richard E., Cannon, John R., Lierman, Bruce C., Ryder, Joan M., Purcell, Janine A. and Seamster, Thomas L. (1991): The Analysis of Expert Performance in the Redesign of the En Route Air Traffic Control Curriculum. In: Proceedings of the Human Factors Society 35th Annual Meeting 1991. pp. 1403-1407.

 
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Glenn, III Floyd A., Zaklad, Allen L., Ryder, Joan M. and Goodman, Lee S. (1991): Experimental Evaluation of an Adaptable Acoustic Color Coding Interface System. In: Proceedings of the Human Factors Society 35th Annual Meeting 1991. pp. 1471-1475.

Although a large amount of research has been performed to develop principles and guidelines for the effective use of color in display coding, very little of it has dealt with the color coding of continuously varying data -- also known as pseudo-coloring. This research is investigating the application of pseudo-coloring to the display of data from sonar systems, in order to enhance target detection and classification performance. A scheme has been developed for adaptable pseudo-coloring of sonogram displays, called an Adaptable Acoustic Color Coding Interface System (AACCIS), in which the sensor operator adjusts one or two dimensions of control of the color coding scheme in order to optimize performance in operational detection and classification tasks. Two experiments were performed to: (1) select specific adjustment parameters for user control, and (2) compare task performance between a few alternative adjustable and non-adjustable color codes.

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

1989
 
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Zubritzky, Monica C., Zachary, Wayne and Ryder, Joan M. (1989): Constructing and Applying Cognitive Models to Mission Management Problems in Air Anti-Submarine Warfare. In: Proceedings of the Human Factors Society 33rd Annual Meeting 1989. pp. 129-133.

The ever-increasing capabilities of computers have resulted in a new generation of man-machine systems in which the machine acts in an intelligent manner to enhance the operator's decision-making capabilities in real-time multi-tasking (RTMT) situations. In such situations, the operator's information needs constantly change as he/she must attend to several events simultaneously and often switch from one decision-making task to another. The ability of the intelligent systems to aid humans in a flexible interactive fashion depends on the capability of the machine to predict these switches and the resulting changes in the human's information needs at a given time. These systems must therefore incorporate a model of the human operator's tasks based on information about the individual tasks and the dynamic relationships between the tasks and the occurrence of outside events. This paper focuses on the construction of such a model in the context of mission management problems of airborne Tactical Coordinators (TACCOs) in anti-submarine warfare (ASW). The model is built as a Cognitive Network of Tasks (COGNET) and is based on the integration of GOMS notation and the Blackboard architecture and is now being used to develop an adaptive intelligent interface for TACCOs.

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

1987
 
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Ryder, Joan M., Redding, Richard E. and Beckschi, Peter F. (1987): Training Development for Complex Cognitive Tasks. In: Proceedings of the Human Factors Society 31st Annual Meeting 1987. pp. 1261-1265.

This study evaluated current training methodologies, particularly Instructional Systems Development (ISD), and recent developments in cognitive science to determine how training procedures should be modified to support training for tasks which require complex cognitive skills. We content that ISD is still viable if procedures are developed for the training of cognitive skills. An important component of ISD which needs to be modified to support training of cognitive skills is the task analysis. We discuss the need for integrating efficient and cost-effective cognitive task analysis methodologies with traditional analysis methods.

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

 
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URL: http://www.interaction-design.org/references/authors/joan_m__ryder.html

Publication statistics

Pub. period:1987-1995
Pub. count:7
Number of co-authors:12



Co-authors

Number of publications with 3 favourite co-authors:

Wayne Zachary:4
Allen L. Zaklad:3
Janine A. Purcell:3

 

 

Productive colleagues

Joan M. Ryder's 3 most productive colleagues in number of publications:

Wayne Zachary:18
Richard E. Redding:10
Thomas L. Seamster:10
 
 
 
May 22

User error: replace user and press any key to continue.

-- Popular computer one-liner

 
 

Featured chapter

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

Read Steve's chapter !

 
 

Help us help you!