Evaluating the emotional accuracy of AI-generated facial expressions in neurotypical individuals

Authors

Ron Acierno (ORCID: https://orcid.org/0000-0001-8799-8210)
Antonio F. Pagán (ORCID: https://orcid.org/0000-0002-4724-768X)
Katherine A. Loveland (ORCID: https://orcid.org/0000-0002-2071-9237)

Institutions

The University of Texas Health Science Center at Houston (US)

Publication Details

Journal: Discover Computing
Published: 2025-06-13
DOI: https://doi.org/10.1007/s10791-025-09630-1
Citations: 2
Primary Topic: Emotion and Mood Recognition
Type: article
Field-Weighted Citation Impact: 4.24

Funders

Autism Speaks
University of Texas Health Science Center at Houston
National Institutes of Health
Center for Clinical and Translational Sciences, University of Texas Health Science Center at Houston
National Center for Advancing Translational Sciences
Eunice Kennedy Shriver National Institute of Child Health and Human Development

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article

Evaluating the emotional accuracy of AI-generated facial expressions in neurotypical individuals

Ron Acierno, Antonio F. Pagán, Katherine A. Loveland

Jun 13, 2025

2 citations

Discover Computing

Emotion and Mood Recognition

4.24

article

Evaluating the emotional accuracy of AI-generated facial expressions in neurotypical individuals

Ron Acierno, Antonio F. Pagán, Katherine A. Loveland

June 13, 2025article en

2 citations

Abstract

No abstract available for this paper.

Discover ComputingVol. 28(1)

The University of Texas Health Science Center at Houston (US)

Autism Speaks, University of Texas Health Science Center at Houston, National Institutes of Health, Center for Clinical and Translational Sciences, University of Texas Health Science Center at Houston, National Center for Advancing Translational Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Gender equality

Openalex Percentile: Top 7%

Emotion and Mood Recognition

4.24

DOI Open Access PDF OpenAlex

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