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Raw eye tracking data of healthy adults reading aloud words, pseudowords and numerals

This paper describes data from de Chambrier et al. (2023). The dataset [2] contains raw eye tracking data of 36 healthy adults, collected using an EyeLink 1000 (SR Research Ltd., ON, Canada) during an on-screen reading task. Participants read 96 items including words, pseudowords and numerals. Each...

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Detalles Bibliográficos
Autores principales: Pedrotti, Marco, de Chambrier, Anne-Françoise, Ruggeri, Paolo, Dewi, Jasinta, Atzemian, Myrto, Thevenot, Catherine, Martinet, Catherine, Terrier, Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10344652/
https://www.ncbi.nlm.nih.gov/pubmed/37456113
http://dx.doi.org/10.1016/j.dib.2023.109360
Descripción
Sumario:This paper describes data from de Chambrier et al. (2023). The dataset [2] contains raw eye tracking data of 36 healthy adults, collected using an EyeLink 1000 (SR Research Ltd., ON, Canada) during an on-screen reading task. Participants read 96 items including words, pseudowords and numerals. Each item was presented at the center of the screen until the participant produced an oral response and pressed the keyboard's space bar. Part of the data were analyzed to extract key metrics such as fixation number, fixation duration, saccade number, and saccade amplitude identified by the EyeLink 1000 [1]. Reuse potential includes (but is not limited to) pupil diameter data analysis, identification of fixations and saccades using custom algorithms, and secondary analyses using participant demographics (age, gender) as independent variables.