CU Face Race
Published in academic literature
App Summary
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Detailed Description
Functionality & Mechanism
Developed by computer science students, CU Face Race is a training application designed to engage facial recognition memory. The system delivers a structured protocol consisting of eight distinct training levels. Each level incorporates a series of perceptual and memory games that require participants to learn and recall a set of faces. The interface guides progression through increasingly complex tasks, with a primary application in psychological research settings to investigate the cognitive mechanisms of face processing.
Evidence & Research Context
- The app's design is informed by dual-process models of recognition memory, which distinguish between familiarity-based and recollection-based retrieval.
- Associated research utilizes event-related potentials (ERPs) to identify distinct neurocognitive markers for these processes, such as the mid-frontal FN400 old/new effect.
- The FN400 component (300-500 ms) has been specifically demonstrated to index familiarity-based recognition of faces, independent of detailed recollection.
- A separate ERP component, the N170, is associated with expert recognition, indicating that well-learned visual categories like faces are differentiated at an early stage of neural processing.
Intended Use & Scope
This application is primarily intended as a research instrument for psychologists and cognitive scientists investigating the mechanisms of face recognition memory. While available for general use as a cognitive training tool, it is not a validated therapeutic intervention or a diagnostic for memory impairment. Professional consultation is required for any clinical memory concerns.
Studies & Publications
Peer-reviewed research associated with this app.
Event-related potentials and recognition memory
Rugg et al. (2007) · Trends in Cognitive Sciences
Referenced in academic literature; no direct evaluation of the appThe FN400 indexes familiarity-based recognition of faces
Curran et al. (2006) · NeuroImage
Referenced in academic literature; no direct evaluation of the appApp Information
Developer
University of Colorado BoulderCategory
Evidence Profile
Published in academic literature
Platforms
Updated
Oct 2022
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