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Aging and Neurocognitive Health Driving
Advanced automated driving vehicles (AVs) are expected to radically transform road transport by improving safety, increasing traffic flow efficiency, enhancing mobility for all, and reducing road congestion, fuel usage and emissions. To facilitate deployment research has vastly focused on ensuring safety of AVs operation, investigating primarily the interaction between the human driver (or user depending on the level of automation) and the AV.
Focusing on aged population, the aim of this research project is to understand the neurocognitive factors that underlie automobile driving and mobility of the elderly. Using a touchscreen device or computer keyboard & mouse, aged individuals will be asked to perform a series of behavioural tasks to measure their cognitive and behavioural abilities. Survey questionnaires will be used to measure stress, motivational levels, affective (emotional) and cognitive states during the tasks, as well as habits, attitudes and experience with driving activities and mobility in daily life. The project may also include harmless, non-invasive and unobtrusive physiological measures, such as forehead electrode measures, heart rate and skin conductance response measures, to correlate with cognitive task metrics.
Advanced automated driving vehicles (AVs) are expected to radically transform road transport by improving safety, increasing traffic flow efficiency, enhancing mobility for all, and reducing road congestion, fuel usage and emissions. To facilitate deployment research has vastly focused on ensuring safety of AVs operation, investigating primarily the interaction between the human driver (or user depending on the level of automation) and the AV.
Focusing on aged population, the aim of this research project is to understand the neurocognitive factors that underlie automobile driving and mobility of the elderly. Using a touchscreen device or computer keyboard & mouse, aged individuals will be asked to perform a series of behavioural tasks to measure their cognitive and behavioural abilities. Survey questionnaires will be used to measure stress, motivational levels, affective (emotional) and cognitive states during the tasks, as well as habits, attitudes and experience with driving activities and mobility in daily life. The project may also include harmless, non-invasive and unobtrusive physiological measures, such as forehead electrode measures, heart rate and skin conductance response measures, to correlate with cognitive task metrics.
The motivation of this project is to aid users of limited or declined sensory motor capabilities to access to driving/riding. The outcomes of the project will include recommendations for the adoption of new driving conditions by a variety of users with reduced cognitive performance and abilities to adapt in new digital services. Findings will also be used to discuss potential changes on training, testing and re-testing protocols for elderly AVs drivers/users.
We anticipate our findings to not only provide new insights on the interaction between automated driving vehicles and elderly population, but also be instrumental for policy makers and other relevant actors involved with the development of automated driving technology.
Promising candidates have a background in experimental psychology, while exposure to transport modelling and familiarity with surveys design are no prerequisites, but helpful.
The thesis is to be performed within the Risk and Human Reliability Group at the Paul Scherrer Institute in Villigen, Switzerland, and the Hellenic Institute of Transport at the Centre for Research and Technology Hellas, in Thessaloniki, Greece. The successful applicant is expected to spend a period of 6 months in Thessaloniki. The research activities will be co-supervised by Dr. Miltos Kyriakidis (PSI) and Prof. Anastasios Bezerianos (HIT).
Advanced automated driving vehicles (AVs) are expected to radically transform road transport by improving safety, increasing traffic flow efficiency, enhancing mobility for all, and reducing road congestion, fuel usage and emissions. To facilitate deployment research has vastly focused on ensuring safety of AVs operation, investigating primarily the interaction between the human driver (or user depending on the level of automation) and the AV. Focusing on aged population, the aim of this research project is to understand the neurocognitive factors that underlie automobile driving and mobility of the elderly. Using a touchscreen device or computer keyboard & mouse, aged individuals will be asked to perform a series of behavioural tasks to measure their cognitive and behavioural abilities. Survey questionnaires will be used to measure stress, motivational levels, affective (emotional) and cognitive states during the tasks, as well as habits, attitudes and experience with driving activities and mobility in daily life. The project may also include harmless, non-invasive and unobtrusive physiological measures, such as forehead electrode measures, heart rate and skin conductance response measures, to correlate with cognitive task metrics.
The motivation of this project is to aid users of limited or declined sensory motor capabilities to access to driving/riding. The outcomes of the project will include recommendations for the adoption of new driving conditions by a variety of users with reduced cognitive performance and abilities to adapt in new digital services. Findings will also be used to discuss potential changes on training, testing and re-testing protocols for elderly AVs drivers/users. We anticipate our findings to not only provide new insights on the interaction between automated driving vehicles and elderly population, but also be instrumental for policy makers and other relevant actors involved with the development of automated driving technology.
Promising candidates have a background in experimental psychology, while exposure to transport modelling and familiarity with surveys design are no prerequisites, but helpful. The thesis is to be performed within the Risk and Human Reliability Group at the Paul Scherrer Institute in Villigen, Switzerland, and the Hellenic Institute of Transport at the Centre for Research and Technology Hellas, in Thessaloniki, Greece. The successful applicant is expected to spend a period of 6 months in Thessaloniki. The research activities will be co-supervised by Dr. Miltos Kyriakidis (PSI) and Prof. Anastasios Bezerianos (HIT).
The motivation of this project is to aid users of The outcomes of the project will include recommendations for the adoption of new driving conditions by a variety of users with reduced cognitive performance and abilities to adapt in new digital services. Findings will also be used to discuss potential changes on training, testing and re-testing protocols for elderly AVs drivers/users.
The motivation of this project is to aid users of The outcomes of the project will include recommendations for the adoption of new driving conditions by a variety of users with reduced cognitive performance and abilities to adapt in new digital services. Findings will also be used to discuss potential changes on training, testing and re-testing protocols for elderly AVs drivers/users.
Interested students are encouraged to submit their application to Dr. Miltos Kyriakidis (miltiadis.kyriakidis@psi.ch), including a resume, list of courses, and current grades.
Interested students are encouraged to submit their application to Dr. Miltos Kyriakidis (miltiadis.kyriakidis@psi.ch), including a resume, list of courses, and current grades.