Human error is still one of the leading causes of traffic accidents. In fact, the Vision Zero Initiative (“No loss of life is acceptable”) emphasizes human fallibility as the main obstacle to improve road safety and the need to minimize the occurrence of driver errors so as to reduce accidents. In order to enhance driver safety awareness, international transportation departments have focused their interventions on training courses and massive media campaigns. The shortcoming of these approaches is that they are almost impossible to tailor to the needs of each specific driver. It is in this context that driver-centered technological innovations applied to road safety can play a revolutionary part, being a powerful vector for social change in terms of safety culture.

We work to optimize drivers’ performance by allowing them to avoid dangerous situations, and thus reduce road accidents and increase traffic safety. Our research focuses on the early detection of impaired driver states that can compromise road safety, as distractions, sleepiness, or the consumption of psychoactive substances, and the subsequent continuous feedback. For that, we monitor several psychophysiological indices online, including eye movements and brain activity, and also behavioral indices related to driving (e.g., cruising speed).


Diaz-Piedra, C., Gomez-Millan, E., & Di Stasi, L.L. (2019). Nasal skin temperature reveals changes in arousal levels due to time on task: an experimental thermal infrared imaging study. Applied Ergonomics, DOI: 10.1016/j.apergo.2019.06.001.

Morales, J.M., Diaz-Piedra, C., Rieiro, H., Roca-González, J., Romero, S., Catena, A., Fuentes, L., & Di Stasi, L.L. (2017). Monitoring driver fatigue using a single-channel electroencephalographic device: A validation study by gaze-based, driving performance, and subjective data. Accident Analysis & Prevention109, 62-69.

Vera, J., Diaz-Piedra, C., Jiménez, R., Morales, J.M., Catena, A., Cardenas, D., & Di Stasi, L.L. (2016). Driving time modulates accommodative response and intraocular pressure. Physiology & behavior164, 47-53.

Díaz-Román, A., Megías, A., Díaz-Piedra, C., Catena, A., & Di Stasi, L.L. (2015). Seeing red on the road. Perception, 44, 87-92.

Di Stasi, L.L., McCamy, M.B., Pannasch, S., Renner, R., Catena, A., Cañas, J. J., … & Martinez-Conde, S. (2015). Effects of driving time on microsaccadic dynamics. Experimental brain research233, 599-605.

Del Rio-Bermudez, C., Diaz-Piedra, C., Catena, A., Buela-Casal, G., & Di Stasi, L.L. (2014). Chronotype-dependent circadian rhythmicity of driving safety. Chronobiology international31, 532-541.

Di Stasi, L.L., Megías, A., Cándido, A., Maldonado, A., & Catena, A. (2014). The influence of traffic signal solutions on self-reported road-crossing behaviour. Spanish Journal of Psychology, 17, E103-110.

Di Stasi, L.L., Diaz-Piedra, C., Catena, C., & Buela-Casal, G. (2012). Risk behaviour among patients with obstructive sleep apnea: An exploratory study using complex and dynamic simulated traffic situations. Revista de Patología Respiratoria, 15, 78-84.

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