Signal-Detection Analysis of the Müller-Lyer and the Horizontal-Vertical Illusions

1994 ◽  
Vol 79 (3) ◽  
pp. 1299-1304 ◽  
Author(s):  
Gary M. Brosvic ◽  
Nancy A. Civale ◽  
Patricia Long ◽  
Deborah Kieley ◽  
Kathryn Kristoff ◽  
...  
Keyword(s):  
Signal Detection ◽  
Response Bias ◽  
Signal Strength ◽  
Perceptual Error ◽  
Lyer Illusion ◽  
Detection Analysis ◽  
Signal Detection Analysis ◽  
Response Biases

Perceptual error in the Müller-Lyer and the Horizontal-Vertical illusions was quantified using nonparametric signal-detection measures of sensitivity and response bias. Sensitivity scores were positively related to signal strength with the greatest values observed for the strongest signals. Sensitivity at each signal strength did not differ between the two illusions. Response-bias scores were inversely related to signal strength, with the most conservative biases observed for the strongest signals. Response biases for each signal strength were significantly more conservative for the Horizontal-Vertical than for the Müller-Lyer illusion.

Depression, Recognition-Memory and Hedonic Tone a Signal Detection Analysis

1984 ◽  
Vol 144 (4) ◽  
pp. 376-382 ◽  
Author(s):  
G. C. Dunbar ◽  
W. A. Lishman
Keyword(s):  
Recognition Memory ◽  
Signal Detection ◽  
Memory Task ◽  
Hedonic Tone ◽  
State Response ◽  
Detection Analysis ◽  
Depressed State ◽  
Neutral Material ◽  
Signal Detection Analysis ◽  
Response Biases

SummaryA signal detection analysis was used in a recognition memory task involving material of varying hedonic tone. Major differences were found between the control and depressed states. Although overall recognition rates were the same, pleasant material was recognised less and unpleasant material more easily by depressives. Neutral material was recognised equally well by both groups. In the depressed state, response biases were altered such that unpleasant material was handled in a preferential way to neutral or pleasant material.

Signal Detection Analysis of Effect of White Noise Intensity on Sensitivity to Visual Flicker

1979 ◽  
Vol 48 (3) ◽  
pp. 791-798 ◽  
Author(s):  
Dan W. Harper
Keyword(s):  
Signal Detection ◽  
White Noise ◽  
Response Bias ◽  
Noise Intensity ◽  
Rating Scale ◽  
Auditory Stimulation ◽  
Future Research ◽  
Cortical Arousal ◽  
Detection Analysis ◽  
Signal Detection Analysis

Rating scale estimates of sensitivity to visual flicker were obtained from three subjects under 10 different intensities of auditory stimulation. Results indicated reliable “sawtooch”-like changes in sensitivity as a function of increasing intensity of white noise. No systematic and reliable changes were found in estimates of response bias. Theory and future research are discussed with reference to the possible contribution of cortical arousal.

Signal Detection Analysis of Visual Flicker in Deaf and Hearing Individuals

1980 ◽  
Vol 51 (3) ◽  
pp. 839-843 ◽  
Author(s):  
Michael Bross ◽  
Hannelore Sauerwein
Keyword(s):  
Signal Detection ◽  
Response Bias ◽  
Forced Choice ◽  
Resolving Power ◽  
Stimulus Probability ◽  
Sensory Sensitivity ◽  
Detection Analysis ◽  
Signal Detection Analysis ◽  
Flicker Task ◽  
Sensory Compensation

A comparison of deaf and hearing subjects on temporal visual resolving power was conducted within a signal-detection paradigm. Subjects were required to make forced-choice judgments of a visual-flicker task under three stimulus probability conditions (0.25, 0.50, and 0.75). A total of 600 trials were given each subject from which d′ and Beta, indices for sensory sensitivity and response bias respectively, were computed. No significant differences existed on sensory sensitivity or response bias which questions some traditional assumptions about sensory compensation.

Laterality Effects in Judgment of the Identity and Position of Letters: A Signal Detection Analysis

1976 ◽  
Vol 28 (1) ◽  
pp. 115-121 ◽  
Author(s):  
Sally Robertshaw ◽  
Michael Sheldon
Keyword(s):  
Signal Detection ◽  
Response Bias ◽  
Rating Scale ◽  
Rectangular Matrix ◽  
Detection Analysis ◽  
Point Rating Scale ◽  
The Matrix ◽  
A Cell ◽  
Signal Detection Analysis

In two experiments subjects received 100 ms tachistoscopic presentations, either to left or right of fixation, of a rectangular matrix of 12 cells. On each trial three cells were filled, each with a different symbol drawn from a set of 12 letters and digits. In one (the “letter” experiment) subjects had to decide whether a particular letter (nominated at the end of the trial) had been one of the three presented. In a second (the “position” experiment) they had to decide whether a cell in the matrix (again nominated at the end of the trial) had been one of those that contained a symbol. Judgments were made on a four-point rating scale, and measures of sensitivity and response bias were calculated. In the letter experiment sensitivity was greater for presentations to right of fixation, and in the position experiment for those to left.

A Signal Detection Analysis of the Effects of Workload, Task-Critical and Likelihood Information on Human Alarm Response

2005 ◽  
Vol 49 (17) ◽  
pp. 1513-1517 ◽  
Author(s):  
Ernesto A. Bustamante
Keyword(s):  
Signal Detection ◽  
Response Bias ◽  
Secondary Task ◽  
Alarm System ◽  
Alarm Response ◽  
Alarm Signals ◽  
Critical Information ◽  
Detection Analysis ◽  
High Workload ◽  
Signal Detection Analysis

The purpose of this study was to examine the effects of task-critical and likelihood information on participants' sensitivity and bias to alarm signals under varying levels of workload. Participants performed a complex primary task at the same time they performed a secondary task. Likelihood information was manipulated through the use of either a Binary Alarm System (BAS) or a Likelihood Alarm System (LAS). As expected, task-critical and likelihood information significantly increased participants' sensitivity, and this varied across workload levels. Participants benefited from task-critical information only when they were interacting with the BAS. However, participants benefited from likelihood information regardless of task-critical information, particularly under high-workload conditions. Furthermore, task-critical information increased participants' response bias under low workload, making them less likely to respond to alarm signals. These results demonstrated the superior advantage of an LAS over a traditional BAS and showed support for the use of an LAS as a way to mitigate the cry-wolf effect above and beyond task-critical information.

Temporal Auditory Acuity in Blind and Sighted Subjects: A Signal Detection Analysis

1982 ◽  
Vol 55 (3) ◽  
pp. 963-966 ◽  
Author(s):  
Michael Bross ◽  
Myra Borenstein
Keyword(s):  
Signal Detection ◽  
White Noise ◽  
Response Bias ◽  
Auditory Sensitivity ◽  
Sensory Sensitivity ◽  
Detection Analysis ◽  
Signal Detection Analysis ◽  
Auditory Acuity ◽  
Sensory Compensation

Temporal auditory sensitivity was compared in five adventitiously blind and five normally sighted subjects in a signal-detection paradigm. Following determination of individual auditory flutter fusion (AFF) thresholds the subjects were required to make forced-choice responses between a fluttering and fused white noise under stimulus probabilities of 0.25, 0.50, and 0.75. From these data indices of sensory sensitivity ( d') and response bias (Beta) were computed and compared. Analysis indicated no significant differences in auditory sensitivity between the two groups. These findings further weaken the traditional hypothesis of sensory compensation.

Lax Decision Criteria Lead to Negativity Bias: Evidence from the Emotional Stroop Task

2014 ◽  
Vol 114 (3) ◽  
pp. 896-912 ◽  
Author(s):  
Guofang Liu ◽  
Ziqiang Xin ◽  
Chongde Lin
Keyword(s):  
Signal Detection ◽  
Response Bias ◽  
Stroop Task ◽  
Negativity Bias ◽  
Emotional Stroop ◽  
Decision Criteria ◽  
Emotional Words ◽  
Emotional Stroop Task ◽  
Detection Analysis ◽  
Response Biases

Negativity bias means that negative information is usually given more emphasis than comparable positive information. Under signal detection theory, recent research found that people more frequently and incorrectly identify negative task-related words as having been presented originally than positive words, even when they were not presented. That is, people have lax decision criteria for negative words. However, the response biases for task-unrelated negative words and for emotionally important words are still unclear. This study investigated response bias for these two kinds of words. Study 1 examined the response bias for task-unrelated negative words using an emotional Stroop task. Proportions of correct recognition to negative and positive words were assessed by non-parametric signal detection analysis. Participants have lower (i.e., more lax) decision criteria for task-unrelated negative words than for positive words. Study 2 supported and expanded this result by investigating participants' response bias for highly emotional words. Participants have lower decision criteria for highly emotional words than for less emotional words. Finally, possible evolutionary sources of the response bias were discussed.

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