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Abstract

In this study, we investigated if the driver's ability to take over vehicle control when being engaged in a secondary task (Surrogate Reference Task) can be predicted by a subject's multitasking ability and reaction time. 23 participants performed a multitasking test and a simple response task and then drove for about 38 min highly automated on a highway and encountered five take-over situations. Data analysis revealed significant correlations between the multitasking performance and take-over time as well as gaze distributions for Situations 1 and 2, even when reaction time was controlled. This correlation diminished beginning with Situation 3, but a stable difference between the worst multitaskers and the best multitaskers persisted. Reaction time was not a significant predictor in any situation. The results can be seen as evidence for stable individual differences in dual task situations regarding automated driving, but they also highlight effects associated with the experience of a take-over situation. En este estudio se investigó la capacidad del conductor para tomar el control del vehículo, en una tarea secundaria puede predecirse por la habilidad multitarea del sujeto y la reacción inmediata. Participaron 23 personas ejecutando una prueba de tareas múltiples y una de simple respuesta , conduciendo durante 38 min de forma altamente automatizada, encontrándose cinco situaciones de toma de posesión. Los datos revelaron una correlación significativa entre el rendimiento multitarea y la toma del tiempo, así como la distribución de la situación 1 y 2, aunque el tiempo de reacción se controló. Esta relación disminuye comenzando con la situación 3, persistiendo una diferencia estable en la toma en el tiempo entre los peores y los mejores. El tiempo de reacción no fue un predictor significativo. Los resultados pueden ser vistos como evidencia de las diferencias individuales estables en situaciones de doble tarea respecto a la conducción automática.

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The different versions of the original document can be found in:

https://doaj.org/toc/0012-7353
https://dialnet.unirioja.es/servlet/articulo?codigo=6151186,
https://core.ac.uk/display/89358193,
http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0012-73532015000500025,
http://mediatum.ub.tum.de/node?id=1320917,
https://revistas.unal.edu.co/index.php/dyna/article/view/53496/53176,
https://dialnet.unirioja.es/descarga/articulo/6151186.pdf,
https://revistas.unal.edu.co/index.php/dyna/article/download/53496/53176,
https://repositorio.unal.edu.co/handle/unal/60663,
https://doaj.org/article/d5e374886fb1491c92d2dc6861ba23cf,
https://www.redalyc.org/pdf/496/49642141025.pdf,
https://biblat.unam.mx/es/revista/dyna-medellin/articulo/prediction-of-take-over-time-in-highly-automated-driving-by-two-psychometric-tests,
https://academic.microsoft.com/#/detail/2179000108
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Published on 01/01/2015

Volume 2015, 2015
DOI: 10.15446/dyna.v82n193.53496
Licence: Other

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