Is visual search consistent with high-threshold or signal detection theory?

1997 ◽  
Author(s):  
John Palmer ◽  
Preeti Verghese ◽  
Misha Pavel
Keyword(s):  
Visual Search ◽  
Signal Detection ◽  
Signal Detection Theory ◽  
Detection Theory ◽  
High Threshold

Divided attention and visual search: A signal detection theory approach

2001 ◽  
Author(s):  
E. T. Davis ◽  
T. Shikano ◽  
S. Peterson ◽  
R. Keyes ◽  
C. E. Shook
Keyword(s):  
Visual Search ◽  
Signal Detection ◽  
Divided Attention ◽  
Signal Detection Theory ◽  
Detection Theory ◽  
Theory Approach

scholarly journals The wisdom of crowds for visual search

2017 ◽  
Vol 114 (21) ◽  
pp. E4306-E4315 ◽  
Author(s):  
Mordechai Z. Juni ◽  
Miguel P. Eckstein
Keyword(s):  
Decision Making ◽  
Visual Search ◽  
Signal Detection ◽  
Signal Detection Theory ◽  
Detection Theory ◽  
Majority Voting ◽  
Weighted Averaging ◽  
Simple Majority ◽  
Wisdom Of Crowds ◽  
The Wisdom Of Crowds

Decision-making accuracy typically increases through collective integration of people’s judgments into group decisions, a phenomenon known as the wisdom of crowds. For simple perceptual laboratory tasks, classic signal detection theory specifies the upper limit for collective integration benefits obtained by weighted averaging of people’s confidences, and simple majority voting can often approximate that limit. Life-critical perceptual decisions often involve searching large image data (e.g., medical, security, and aerial imagery), but the expected benefits and merits of using different pooling algorithms are unknown for such tasks. Here, we show that expected pooling benefits are significantly greater for visual search than for single-location perceptual tasks and the prediction given by classic signal detection theory. In addition, we show that simple majority voting obtains inferior accuracy benefits for visual search relative to averaging and weighted averaging of observers’ confidences. Analysis of gaze behavior across observers suggests that the greater collective integration benefits for visual search arise from an interaction between the foveated properties of the human visual system (high foveal acuity and low peripheral acuity) and observers’ nonexhaustive search patterns, and can be predicted by an extended signal detection theory framework with trial to trial sampling from a varying mixture of high and low target detectabilities across observers (SDT-MIX). These findings advance our theoretical understanding of how to predict and enhance the wisdom of crowds for real world search tasks and could apply more generally to any decision-making task for which the minority of group members with high expertise varies from decision to decision.

So, Whatever Happened to Signal Detection Theory?

1995 ◽  
Vol 40 (10) ◽  
pp. 972-972
Author(s):  
Jerome R. Busemeyer
Keyword(s):  
Signal Detection ◽  
Signal Detection Theory ◽  
Detection Theory

Application of Fuzzy Signal Detection Theory to vigilance: The effect of criterion shifts

2003 ◽  
Author(s):  
Shawn C. Stafford ◽  
James L. Szalma ◽  
Peter A. Hancock ◽  
Mustapha Mouloua
Keyword(s):  
Signal Detection ◽  
Signal Detection Theory ◽  
Detection Theory ◽  
Criterion Shifts
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