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Related Experiment Video

Updated: Jun 4, 2026

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

Parallel scanning of physical and category information.

D Burrows¹, R Okada

¹Department of Psychology, State University of New York, College at Brockport, 14420, Brockport, New York.

Memory & Cognition

|February 3, 2011

Summary

This study explored memory scanning, finding that people can search for category membership and physical identity simultaneously. Parallel processing of independent memory encodings supports efficient information retrieval.

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Area of Science:

Cognitive Psychology
Human Memory Research
Information Processing

Background:

The Sternberg memory scanning paradigm is a foundational task in cognitive psychology.
Understanding how humans retrieve information from memory is crucial for cognitive modeling.
Previous research has explored single-attribute memory search.

Purpose of the Study:

To investigate the efficiency of simultaneous memory scanning for multiple attributes.
To determine if category membership and physical identity can be scanned in parallel.
To examine the impact of memory set composition on scanning functions.

Main Methods:

Utilized Sternberg's memory scan paradigm with variations in memory set composition.
Measured scan rates for category membership and physical identity.
Compared scan rates for single-attribute versus dual-attribute searches.

Main Results:

Simultaneous scanning for category and physical identity was slower than the sum of individual scan rates.
Memory set categorization influenced category scanning but not physical identity scanning.
Evidence suggests parallel processing of independent memory encodings.

Conclusions:

Humans possess the capacity for parallel scanning of distinct memory representations.
Memory retrieval involves flexible and potentially parallel processing mechanisms.
Findings contribute to models of human information processing and memory retrieval.