MUCSC is a one-day research conference for undergraduates doing work related to cognitive science.

MUCSC is a one-day research conference

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Holistic processing is often characterized as a process by which objects are perceived as a whole rather than a compilation of individual features. This mechanism may play an important role in the development of perceptual expertise because it allows for rapid integration across image regions. The present work explores whether holistic processing is present in latent fingerprint examiners, who compare fingerprints collected from crime scenes against a set of standards taken from a suspect. We adapted a composite task widely used in the face recognition and perceptual expertise literatures, in which participants were asked to match only a particular half of a fingerprint with a previous image while ignoring the other half. We tested both experts and novices, using both upright and inverted fingerprints. For upright fingerprints, we found weak evidence for holistic processing, but with no differences between experts and novices with respect to holistic processing. For inverted fingerprints, we found stronger evidence of holistic processing, with weak evidence for differences between experts and novices. These relatively weak holistic processing effects contrast with robust evidence for holistic processing with faces and with objects in other domains of perceptual expertise. The data constrain models of holistic processing by demonstrating that latent fingerprint experts and novices may not substantively differ in terms of the amount of holistic processing and that inverted stimuli actually produced more evidence for holistic processing than upright stimuli. Important differences between the present fingerprint stimuli and those in the literature include the lack of verbal labels for experts and the absence of strong vertical asymmetries, both of which might contribute to stronger holistic processing signatures in other stimulus domains.

Holistic processing of fingerprints by expert forensic examiners - Cognitive Research: Principles and Implications

During fingerprint comparisons, a latent print examiner visually compares two impressions to determine whether or not they originated from the same source. They consider the amount of perceived detai...

The Utility of Expanded Conclusion Scales During Latent Print Examinations

Fingerprint examiners maintain decision thresholds that represent the amount of evidence required for an identification or exclusion conclusion. As measured by error rate studies (Proc Natl Acad Sci ...

Are forensic scientists too risk averse?

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Vogelscript

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0 Followers, 107 Following, 41 Posts - See Instagram photos and videos from Mac Vogelsang (@macvogelsang)

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I'm a software engineer and data scientist with a passion for data visualization and game design. I previously did backend API development for Salesforce, and am currently building web-based diagnostic tools for EVgo. In my free time, I develop games for the Playdate game console and play board games. I graduated from Indiana University with a masters degree in computer science and a bachelors degrees in cognitive science. In my time there, I focused heavily on research, developing and analyzing data for studies related to expert decision making, fingerprint examination, and forensics. | Learn more about Mac Vogelsang's work experience, education, connections & more by visiting their profile on LinkedIn

Mac Vogelsang - Data Scientist - EVgo | LinkedIn

Mac Vogelsang

Professional developer, former researcher, hobbyist game dev, amateur photographer, and lazy web designer.

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 first + last name at g✉️ or Discord @ Mac#8000