Cited by 2,624Face Recognition and PerceptionMemory Processes and InfluencesFace recognition and analysis

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Looking at upside-down faces.

Yin, Robert K.·1969·Journal of Experimental Psychology

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Abstract

Compared memory for faces with memory for other classes of familar and complex objects which, like faces, are also customarily seen only in 1 orientation (mono-oriented). Performance of 4 students was tested when the inspection and test series were presented in the same orientation, either both upri

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TRANSFORMATIONS ON REPRESENTATIONS OF OBJECTS IN SPACE**Preparation of this chapter was supported by National Science Foundation Grants BMS75-15773 to Lynn A. Cooper and BMS75-02806 to Roger N. Shepard. We are indebted to a number of our colleagues and students—Joyce Farrell, Sherry Judd, Bob Glushko, Jim Levin, Steve Palmer, and Peter Podgorny—for permitting us to discuss their recent research in this chapter.
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Authors: Yin, R. K.
Affiliations: Massachusetts Institute of Technology (US)
Corresponding author: Yin, Robert K.
Venue: Journal of Experimental Psychology
Publisher: American Psychological Association (APA)
Published: 1969-07
Volume: 81
Issue: 1
Pages: 141-145
ISSN: 0022-1015 (ISSN-L)
DOI: 10.1037/h0027474
OpenAlex: W1983006628
Cited by: 2,624
References: 8
Citations by year: 2026: 64 · 2025: 62 · 2024: 65 · 2023: 81 · 2022: 93 · 2021: 81 · 2020: 95 · 2019: 93 · 2018: 85 · 2017: 78 · 2016: 101 · 2015: 105 · 2014: 125 · 2013: 131 · 2012: 122
FWCI: 5.28
Type: journal article
Language: en
Open access: closed
Locations: Journal of Experimental Psychology (publishedVersion)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
Keywords: face recognition (cognition), face memory, inverted faces, orientation, visual perception, object recognition, familiarity, recognition memory

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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Looking at upside-down faces.

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks