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Automated facial coding software outperforms people in recognizing neutral faces as neutral from standardized datasets.
Lewinski, Peter.
Afiliação
  • Lewinski P; The Amsterdam School of Communication Research, Department of Communication Science, University of Amsterdam Amsterdam, Netherlands.
Front Psychol ; 6: 1386, 2015.
Article em En | MEDLINE | ID: mdl-26441761
ABSTRACT
Little is known about people's accuracy of recognizing neutral faces as neutral. In this paper, I demonstrate the importance of knowing how well people recognize neutral faces. I contrasted human recognition scores of 100 typical, neutral front-up facial images with scores of an arguably objective judge - automated facial coding (AFC) software. I hypothesized that the software would outperform humans in recognizing neutral faces because of the inherently objective nature of computer algorithms. Results confirmed this hypothesis. I provided the first-ever evidence that computer software (90%) was more accurate in recognizing neutral faces than people were (59%). I posited two theoretical mechanisms, i.e., smile-as-a-baseline and false recognition of emotion, as possible explanations for my findings.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Psychol Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Psychol Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Holanda
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