Gently does it: Humans outperform a software classifier in recognizing subtle, nonstereotypical facial expressions.

Yitzhak, Neta; Giladi, Nir; Gurevich, Tanya; Messinger, Daniel S; Prince, Emily B; Martin, Katherine; Aviezer, Hillel

Yitzhak, Neta; Giladi, Nir; Gurevich, Tanya; Messinger, Daniel S; Prince, Emily B; Martin, Katherine; Aviezer, Hillel.

Afiliación

Yitzhak N; Department of Psychology, Hebrew University of Jerusalem.
Giladi N; Movement Disorders Unit, Neurological Institute Tel-Aviv Medical Center, Sackler School of Medicine and Sagol School of Neuroscience, Tel-Aviv University.
Gurevich T; Movement Disorders Unit, Neurological Institute Tel-Aviv Medical Center, Sackler School of Medicine and Sagol School of Neuroscience, Tel-Aviv University.
Messinger DS; Departments of Psychology, Pediatrics, and Electrical & Computer Engineering, University of Miami.
Prince EB; Department of Psychology, University of Miami.
Martin K; Department of Psychology, University of Miami.
Aviezer H; Department of Psychology, Hebrew University of Jerusalem.

Emotion ; 17(8): 1187-1198, 2017 12.

Article en En | MEDLINE | ID: mdl-28406679

Asunto(s)

Emociones; Expresión Facial; Reconocimiento Facial; Programas Informáticos; Adulto; Comunicación; Cara/anatomía & histología; Cara/fisiología; Reconocimiento Facial/fisiología; Miedo; Femenino; Humanos; Masculino; Reproducibilidad de los Resultados; Estereotipo; Adulto Joven

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Emociones / Expresión Facial / Reconocimiento Facial Límite: Adult / Female / Humans / Male Idioma: En Revista: Emotion Asunto de la revista: PSICOLOGIA Año: 2017 Tipo del documento: Article Pais de publicación: Estados Unidos

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