Publication statistics

Pub. period:1983-1993
Pub. count:5
Number of co-authors:6



Co-authors

Number of publications with 3 favourite co-authors:

Greg C. Elvers:1
DeMaris A. Montgomery:1
Bruce G. Berg:1

 

 

Productive colleagues

Robert D. Sorkin's 3 most productive colleagues in number of publications:

David D. Woods:35
Barry H. Kantowitz:17
Greg C. Elvers:3
 
 
 
May 23

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-- G. Salomon (in "Distributed Cognitions: Psychological and Educational Considerations")

 
 

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Robert D. Sorkin

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Publications by Robert D. Sorkin (bibliography)

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1993
 
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Montgomery, DeMaris A. and Sorkin, Robert D. (1993): The Effects of Display Code and Its Relation to the Optimal Decision Statistic in Visual Signal Detection. In: Proceedings of the Human Factors and Ergonomics Society 37th Annual Meeting 1993. pp. 1325-1329.

This study examined the effects of display element arrangement on observers' performance in both Yes/No and Four-Alternative-Forced-Choice (4AFC) visual signal detection tasks. Observers were given four independent informational sources whose values were drawn from either a signal or noise distribution, depending on the task and type of trial. The information was displayed graphically in one of six formats constructed from a combination of two factors: 1) whether the display elements were arranged to produce an emergent feature, and 2) whether or not the magnitude of the emergent feature was monotonically related to the optimal decision statistic (for the Yes/No task). Arranging the line graph displays to produce an emergent feature improved Yes/No performance and impaired 4AFC performance. Due to the highly efficient performance produced by the angular element code, it was not possible to determine whether visual signal detection was affected by the relationship between the emergent feature and the optimal decision statistic.

© All rights reserved Montgomery and Sorkin and/or Human Factors Society

1989
 
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Elvers, Greg C. and Sorkin, Robert D. (1989): Detection and Recognition of Multiple Visual Signals in Noise. In: Proceedings of the Human Factors Society 33rd Annual Meeting 1989. pp. 1383-1387.

This experiment tested a detection theory model of visual signal detection and recognition. The task employed a visual display consisting of analog gauges arranged in a horizontal line. The signals to be detected and identified were three unique patterns of gauge values embedded in noise. After viewing the display the observers either reported that any of the signals had occurred (1-of-m signal detection) or specified which of the signals (if any) had occurred (1-of-m signal recognition-detection). The results indicated that performance on 1-of-m recognition and detection tasks can be predicted from performance on the component single-signal detection tasks.

© All rights reserved Elvers and Sorkin and/or Human Factors Society

1987
 
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Sorkin, Robert D., Robinson, Donald E. and Berg, Bruce G. (1987): A Detection Theory Method for the Analysis of Visual and Auditory Displays. In: Proceedings of the Human Factors Society 31st Annual Meeting 1987. pp. 1184-1188.

A signal detection method for evaluating different display codes and formats is described. The method allows one to determine how an observer aggregates information from multiple element displays. The method can be used to assess the relative importance of specific spatial or sequential elements of the display. The efficacy of different formats and arrangements thus can be compared. The paper describes the theoretical basis for the method and briefly summarizes data from several types of visual and auditory displays.

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

1985
 
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Sorkin, Robert D. and Woods, David D. (1985): Systems with Human Monitors: A Signal Detection Analysis. In Human-Computer Interaction, 1 (1) pp. 49-75.

Automated factories, the flightdecks of commercial aircraft, and the control rooms of power plants are examples of decision-making environments in which a human operator performs an alerted-monitor role. These human-machine systems include automated monitor or alerting subsystems operating in support of a human monitor. The automated monitor subsystem makes preprogrammed decisions about the state of the underlying process based on current inputs and expectations about normal/abnormal operating conditions. When alerted by the automated monitor subsystem, the human monitor may analyze input data, confirm or disconfirm the decision made by the automated monitor, and take appropriate further action. In this paper, the combined automated monitor-human monitor system is modeled as a signal detection system in which the human operator and the automated component monitor partially correlated noisy channels. The signal detection analysis shows that overall system performance is highly sensitive to the interaction between the human's monitoring strategy and the decision parameter, C{sub:a}, of the automated monitor subsystem. Usual design practice is to set C{sub:a} to a value that optimizes the automated monitor's detection and false alarm rates. Our analysis shows that this setting will not yield optimal performance for the overall human-machine system. Furthermore, overall system performance may be limited to a narrow range of realizable detection and error rates. As a result, large gains in system performance can be achieved by manipulating the parameters of the automated monitor subsystem in light of the workload characteristics of the human operator.

© All rights reserved Sorkin and Woods and/or Taylor and Francis

1983
 
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Kantowitz, Barry H. and Sorkin, Robert D. (1983): Human Factors: Understanding People-System Relationships. New York, NY, John Wiley and Sons

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

Publication statistics

Pub. period:1983-1993
Pub. count:5
Number of co-authors:6



Co-authors

Number of publications with 3 favourite co-authors:

Greg C. Elvers:1
DeMaris A. Montgomery:1
Bruce G. Berg:1

 

 

Productive colleagues

Robert D. Sorkin's 3 most productive colleagues in number of publications:

David D. Woods:35
Barry H. Kantowitz:17
Greg C. Elvers:3
 
 
 
May 23

Knowledge is commonly socially constructed, through collaborative efforts towards shared objectives or by dialogues and challenges brought about by different persons' perspectives.

-- G. Salomon (in "Distributed Cognitions: Psychological and Educational Considerations")

 
 

Featured chapter

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

Read Steve's chapter !

 
 

Help us help you!