NAPS Fusion: A framework to overcome experimental data limitations to predict human performance and cognitive task outcomes.

Napoli, Nicholas J; Stephens, Chad L; Kennedy, Kellie D; Barnes, Laura E; Juarez Garcia, Ezequiel; Harrivel, Angela R

Napoli, Nicholas J; Stephens, Chad L; Kennedy, Kellie D; Barnes, Laura E; Juarez Garcia, Ezequiel; Harrivel, Angela R.

Afiliação

Napoli NJ; Human Informatics and Predictive Performance Optimization Laboratory, Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32611, USA.
Stephens CL; National Institute of Aerospace, Hampton, VA 23666, USA.
Kennedy KD; NASA Langley Research Center, Hampton, VA 23681, USA.
Barnes LE; NASA Langley Research Center, Hampton, VA 23681, USA.
Juarez Garcia E; Systems and Information Engineering, University of Virginia, Charlottesville, VA 22904, USA.
Harrivel AR; Human Informatics and Predictive Performance Optimization Laboratory, Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32611, USA.

Inf Fusion ; 91: 15-30, 2023 Mar.

Article em En | MEDLINE | ID: mdl-37324653

Palavras-chave

Experimental data variability; Human performance prediction; Sensor fusion; Small experimental sample size; Uncertain ground truth; Uncertainty modeling

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article