Cited by 3,454Face Recognition and PerceptionEmotion and Mood RecognitionFace recognition and analysis

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.

The NimStim set of facial expressions: Judgments from untrained research participants.

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Abstract

A set of face stimuli called the NimStim Set of Facial Expressions is described. The goal in creating this set was to provide facial expressions that untrained individuals, characteristic of research participants, would recognize. This set is large in number, multiracial, and available to the scientific community online. The results of psychometric evaluations of these stimuli are presented. The results lend empirical support for the validity and reliability of this set of facial expressions as determined by accurate identification of expressions and high intra-participant agreement across two testing sessions, respectively.

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Metadata

Authors
Tottenham, N., Tanaka, J. W., Leon, A. C., McCarry, T., Nurse, M., Hare, T. A., Marcus, D. J., Westerlund, A., Casey, B., & Nelson, C.
Affiliations
  • Cornell University (US)
  • University of Victoria (CA)
  • Weill Cornell Medicine (US)
  • Children's National (US)
  • Boston Children's Hospital (US)
Corresponding author
Tottenham, Nim
Venue
Psychiatry Research
Publisher
Elsevier BV
Published
2009-08
Volume
168
Issue
3
Pages
242-249
ISSN
0165-1781 (ISSN-L)
OpenAlex
W2098958400
Cited by
3,454
References
46
Citations by year
2026: 112 · 2025: 159 · 2024: 173 · 2023: 179 · 2022: 257 · 2021: 251 · 2020: 221 · 2019: 251 · 2018: 255 · 2017: 244 · 2016: 247 · 2015: 230 · 2014: 193 · 2013: 201 · 2012: 186
FWCI
73.99
Type
journal article
Language
en
Open access
Locations
  • Psychiatry Research (publishedVersion)
  • PubMed (publishedVersion)
  • Zurich Open Repository and Archive (University of Zurich) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • OSF Preprints (OSF Preprints) (submittedVersion)
  • Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
  • Zurich Open Repository and Archive (University of Zurich)
Funders
National Institute of Mental Health (R01MH091864, R01MH078829)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
  • Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
Keywords
facial expressions, facial expression recognition, face stimuli, psychometric validation, inter-rater reliability
MeSH terms
Adolescent, Adult, Cross-Cultural Comparison, Emotions, Facial Expression, Humans, Judgment, Neuropsychological Tests, Pattern Recognition, Visual, Photic Stimulation, Psychometrics, Reaction Time, Reproducibility of Results, Young Adult

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