Cardiovascular Signal Detection Task

When individuals work together to make decisions in a signal detection task, they typically achieve greater sensitivity as a group than they could each achieve on their own. The present experiments investigate whether metacognitive, or Type 2, signal detection judgements would show a similar pattern of collaborative benefit. Thirty-two participants in Experiment 1 and sixty participants in Experiment 2 completed a signal detection task individually and in groups, and measures of Type 1 and Type 2 sensitivity were calculated from participants’ confidence judgments. Bayesian parameter estimates suggested that regardless of whether teams are given feedback on their performance (Experiment 1) or receive no feedback (Experiment 2), no credible differences were observed in metacognitive efficiency between the teams and the better members, nor between the teams and the worse members. These findings suggest that teams may self-assess their performance by deferring metacognitive judgments to the most metacognitively sensitive individual within the team, even without trial-by-trial feedback, rather than integrating their judgments and achieving increased metacognitive awareness of their own performance.

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Exploring the Effect of Stimuli Characteristics on Signal Detection Performance: Sex Influenced Targeting Bias

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/1071181319631476 ◽

2019 ◽

Vol 63 (1) ◽

pp. 1615-1619

Author(s):

Jessica Williams ◽

Rhyse Bendell ◽

Jason Parker ◽

Andrew Talone ◽

Jordan Sasser ◽

...

Keyword(s):

Virtual Reality ◽

Signal Detection ◽

Virtual Environment ◽

Detection Task ◽

Exploratory Analysis ◽

Response Criterion ◽

Male Character ◽

Perceptual Sensitivity ◽

Signal Detection Task ◽

Social Biases

Research has shown that the perceived sex (female versus male features) of a presented threat can influence participants’ responses. This exploratory analysis examined data from an experiment which utilized a virtual reality signal detection task. Six categorically different character models (three males and three females) transported one of five potential objects (one signal: pistol; five noise: gardening tools) across a virtual environment. The focus of our analysis was to explore the influence of participant sex and character gender on participants' perceptual sensitivity ( d’) and response criterion ( C). Results suggest that character gender had significant effects on d’ and C such that male character models resulted in greater perceptual sensitivity and a more liberal response criterion. Our findings align with previous research that characterize females as less likely to be targeted as a threat, possibly due to stereotypes or predisposed social biases, as opposed to males.

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Sex-related Differences in Spatial Ability and Signal Detection Task Performance

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/1071181319631059 ◽

2019 ◽

Vol 63 (1) ◽

pp. 1239-1243

Author(s):

Rhyse Bendell ◽

Florian Jentsch

Keyword(s):

Signal Detection ◽

Spatial Ability ◽

Spatial Reasoning ◽

Detection Task ◽

Continuous Signal ◽

Two Measures ◽

Signal Detection Task ◽

And Performance ◽

The Impact ◽

Conventional Signal

Sex-related differences in spatial ability have regularly shown a slight performance advantage among males on standard tests; however, the impact of these differences in real-world tasks that may depend on spatial ability has rarely been investigated. We conducted an experiment to evaluate the relationship between sex-related differences in spatial ability as quantified by two measures (Thurstone’s Mental Rotation test and the Spatial Reasoning Instrument), and performance in a conventional signal detection task. Mixed results showed some support for slightly improved male spatial ability. We then conducted a follow-up experiment to investigate sex-related differences in spatial ability and with respect to performance in a continuous signal detection task. Slight male advantages in performance of the spatial ability measures emerged, and also in the continuous signal detection task, but not for the conventional signal detection task.

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Characterization of the effects of inhaled perchloroethylene on sustained attention in rats performing a visual signal detection task

Neurotoxicology and Teratology ◽

10.1016/j.ntt.2008.01.002 ◽

2008 ◽

Vol 30 (3) ◽

pp. 167-174 ◽

Cited By ~ 8

Author(s):

Wendy M. Oshiro ◽

Q. Todd Krantz ◽

Philip J. Bushnell

Keyword(s):

Signal Detection ◽

Sustained Attention ◽

Detection Task ◽

Visual Signal ◽

Signal Detection Task

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The late positive components of the human EEG in a signal detection task☆

Neuropsychologia ◽

10.1016/0028-3932(74)90054-2 ◽

1974 ◽

Vol 12 (3) ◽

pp. 385-387 ◽

Cited By ~ 4

Author(s):

William W. Cael ◽

Allan Nash ◽

Jay J. Singer

Keyword(s):

Signal Detection ◽

Detection Task ◽

Human Eeg ◽

Signal Detection Task

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Signal Detection Performance as a Function of Fourier Description of Symbols

Proceedings of the Human Factors Society Annual Meeting ◽

10.1177/154193128703101104 ◽

1987 ◽

Vol 31 (11) ◽

pp. 1198-1201

Author(s):

William P. Marshak ◽

John C. Osarczuk

Keyword(s):

Signal Detection ◽

Fourier Transforms ◽

Decision Time ◽

Detection Task ◽

Two Dimensional ◽

Detection Experiment ◽

Work Station ◽

Time Variance ◽

Increased Sensitivity ◽

Signal Detection Task

Performance on a signal detection task was explainable by differences between the two dimensional Fourier transforms of the background and target stimuli. A signal detection experiment by Marshak and Osarczuk (1984) used target and background stimuli designed to systematically differ in spatial frequency and orientation. They found that the hypothesized Fourier differences increased sensitivity and decreased decision time. The present paper reports the Fourier analysis of those stimuli which verify and quantify the stimulus manipulation. Multiple regressions were computed using differences in frequency and orientation to explain performance. The results were that 83 percent of d-prime and 74 percent of the decision time variance could be explained by the Fourier differences. These findings indicate that Fourier descriptions of symbols may be used to predict their effectiveness in work station environments.

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