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Full-Text Articles in Cognition and Perception
Indicators Of Deception: Science Or Non-Science, Kristina Vasquez
Indicators Of Deception: Science Or Non-Science, Kristina Vasquez
Undergraduate Honors Theses
Deception detection is used by many law enforcement professionals who work in interviews and interrogations. The ability to detect deception or having knowledge on the signs of deception is very important in not only law enforcement, but in other careers and everyday life. The question remains: is deception detection a science or not a science? There are three areas where someone can learn how to detect deception and those are verbal communication, non-verbal communication, and paralanguage. The use of verbal communication looks at what the person is saying with their words. The use of non-verbal communication looks at what someone …
Do Faces Facilitate Or Distract Children From Attending To Threats?, Sarah A. Skidmore
Do Faces Facilitate Or Distract Children From Attending To Threats?, Sarah A. Skidmore
Senior Honors Projects, 2010-2019
Threatening stimuli may produce an attentional bias in humans, capturing and holding attention to a greater extent than other types of stimuli. Humans rely on others to alert their attention to threats in their environment, and social stimuli, such as faces, have privileged processing compared to nonsocial stimuli. We wanted to explore whether task-irrelevant fearful or neutral faces facilitate, distract, or have no effect on the detection of threatening or neutral images (spiders and frogs, respectively). Three- to-five-year-old children (N=37) completed a visual search task in which they searched for threatening or neutral animals. Consistent with previous literature, we found …
Spatial-Temporal Visible Contrast Energy Predictions Of Detection Thresholds, Albert Ahumada, Andrew B. Watson, Jihyun Yeonan-Kim
Spatial-Temporal Visible Contrast Energy Predictions Of Detection Thresholds, Albert Ahumada, Andrew B. Watson, Jihyun Yeonan-Kim
MODVIS Workshop
The Barten (1994) spatial-temporal model was used to predict the Gabor stimulus contrast energy thresholds reported by Carney et al. (2013). The RMS error of fit was 1.6 dB, corrected for the number of parameters (6) estimated. The model has two lowpass spatial-temporal channels, combined by inhibition as in our spatial models (Watson & Ahumada, 2005; Ahumada & Watson, 2013). Computation of models predictions were greatly simplified by the spatial-temporal separability of the stimuli and the simplifications that result from using Gaussian filters in the spatial domain. The best fitting spatial filter frequency cutoffs are 11.4 and 0.88 cpd. The …