From basic to applied research: theory and application of thea–bsignal detection theory model

2011 ◽  
Vol 15 (4) ◽  
pp. 318-337
Author(s):  
Ernesto A. Bustamante
Keyword(s):  
Applied Research ◽  
Detection Theory ◽  
Theory Model ◽  
Detection Theory Model

A Signal-Detection Theory Based Perspective on Design of Warning

1998 ◽  
Vol 86 (2) ◽  
pp. 720-722 ◽  
Author(s):  
Mark R. Lehto ◽  
Jason D. Papastavrou
Keyword(s):  
Signal Detection ◽  
Signal Detection Theory ◽  
Human Subjects ◽  
Detection Theory ◽  
Theory Model ◽  
Detection Theory Model

The effects of warnings are analyzed using a distributed signal-detection theory model. It is established that selectivity always increases effectiveness. The implications to optimal warning design for intermittent versus continuous hazards are discussed. The changes in the behavior of the 6 human subjects in response to changes in the warning levels are consistent with the predictions of the model.

Vigilance for Auditory Intensity Changes as a Function of Preliminary Feedback and Confidence Level

1964 ◽  
Vol 6 (5) ◽  
pp. 445-458 ◽  
Author(s):  
Michel Loeb ◽  
John R. Binford
Keyword(s):  
Confidence Level ◽  
Pulse Train ◽  
Detection Theory ◽  
Theory Model ◽  
Auditory Intensity ◽  
False Response ◽  
Data Support ◽  
Intensity Changes ◽  
Detection Theory Model

Forty-eight subjects were asked to respond to occasional increments in a pulse train with ratings of certainty of signal occurrence for 20 min. Half (F) subjects were given feedback; half (NF) were not. In a second session all responded during an 80 min period with a simple response. In another, half responded with certainty ratings; half responded with a simple response. Finally, those who had responded with ratings responded simply and those who had employed a simple response made ratings. It was found that F subjects made fewer false responses and tended to make fewer detections in earlier sessions. In later sessions false responses were reduced for all. The usual progressive false response and detection reductions and latency increases were noted; when subjects employed ratings reductions in certainty were noted within sessions. It was concluded that the data support the detection theory model for vigilance for this type of task.

Detection and Recognition of Multiple Visual Signals in Noise

1989 ◽  
Vol 33 (20) ◽  
pp. 1383-1387 ◽  
Author(s):  
Greg C. Elvers ◽  
Robert D. Sorkin
Keyword(s):  
Signal Detection ◽  
Visual Display ◽  
Detection Theory ◽  
Theory Model ◽  
Visual Signals ◽  
Visual Signal ◽  
Horizontal Line ◽  
Signal Recognition ◽  
Detection Theory Model ◽  
Detection And Recognition

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.

Robustness of the a b signal detection theory model of decision making

2007 ◽  
Author(s):  
Ernesto A. Bustamante ◽  
Brittany L. Anderson ◽  
Amy R. Thompson ◽  
James P. Bliss ◽  
Mark W. Scerbo
Keyword(s):  
Decision Making ◽  
Signal Detection ◽  
Signal Detection Theory ◽  
Detection Theory ◽  
Theory Model ◽  
Detection Theory Model
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