A hidden Markov model for analyzing eye-tracking of moving objects : Case study in a sustained attention paradigm.

Kim, Jaeah; Singh, Shashank; Thiessen, Erik D; Fisher, Anna V

Kim, Jaeah; Singh, Shashank; Thiessen, Erik D; Fisher, Anna V.

Afiliación

Kim J; Department of Psychology, Carnegie Mellon University, Pittsburgh, PA, 15213, USA. jaeahk@andrew.cmu.edu.
Singh S; Machine Learning Department, Department of Statistics & Data Science, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
Thiessen ED; Department of Psychology, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
Fisher AV; Department of Psychology, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.

Behav Res Methods ; 52(3): 1225-1243, 2020 06.

Article en En | MEDLINE | ID: mdl-31898297

Asunto(s)

Atención; Desempeño Psicomotor; Niño; Preescolar; Cognición; Comprensión; Humanos

Palabras clave

Eye-tracking; Hidden Markov model; Selective sustained attention; TrackIt; Visual object tracking

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Desempeño Psicomotor / Atención Tipo de estudio: Health_economic_evaluation Límite: Child / Child, preschool / Humans Idioma: En Revista: Behav Res Methods Asunto de la revista: CIENCIAS DO COMPORTAMENTO Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

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