Exploring driving characteristics of fit- and unfit-to-drive neurological patients: a driving simulator study

Motnikar, Lenart; Stojmenova, Kristina; Štaba, Urša Čižman; Klun, Tara; Robida, Karmen Resnik; Sodnik, Jaka

doi:10.1080/15389588.2020.1764547

Cited by 7 publications

(2 citation statements)

References 24 publications

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“…The second group will try to identify the accessibility needs of people with different disabilities and impairments, which limit their capabilities to operate a vehicle [12]. By taking over the driving task, AVs can provide independent mobility to people with disabilities [6].…”

Section: Topic Of the Workhopmentioning

confidence: 99%

The 3rd Workshop on Localization vs. Internationalization: Accessibility of Autonomous Vehicles by Different End-Users

Stojmenova

Lee

Sodnik

et al. 2021

13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

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The elderly, children, and people with disabilities are among vulnerable users who can benefit the most from the autonomous vehicles (AVs). Yet, most AV concepts discussed in the past decade, including the AutomotiveUI conferences, seem to focus on the mobility needs of younger and middle-aged drivers, who are the overeducated working population, technological enthusiasts, and above middle-class users. In that regard, the third workshop on Localization vs. Internalization aims to explore these disparities, identify the accessibility barriers and search for research approaches that can increase the accessibility opportunities of the vulnerable AV end-users. Built upon the findings from the previous workshops, which focused on diversity, inclusion and differences among cultures regarding AV-related research approaches, the purpose of the present workshop is to provide an in-depth insight into the state of global AV research and identify areas that still need to be explored to increase the AV accessibility, locally and internationally. CCS CONCEPTS• Social and professional topics → User characteristics; Cultural characteristics, Geographic characteristics, Age, People with disabilities.

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Section: Topic Of the Workhopmentioning

confidence: 99%

The 3rd Workshop on Localization vs. Internationalization: Accessibility of Autonomous Vehicles by Different End-Users

Stojmenova

Lee

Sodnik

et al. 2021

13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

Self Cite

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“…Such an approach is already widely used in speech recognition and quality measurements [22,23]. In addition, determining key parameters during the take-over (TO) process would allow for improved driver profiling [24,25] or even the determination of the driver's fitness or unfitness to take over [26].…”

Section: Introductionmentioning

confidence: 99%

Determining Key Parameters with Data-Assisted Analysis of Conditionally Automated Driving

Gruden

Jakus

2023

Applied Sciences

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In conditionally automated driving, a vehicle issues a take-over request when it reaches the functional limits of self-driving, and the driver must take control. The key driving parameters affecting the quality of the take-over (TO) process have yet to be determined and are the motivation for our work. To determine these parameters, we used a dataset of 41 driving and non-driving parameters from a previous user study with 216 TOs while performing a non-driving-related task on a handheld device in a driving simulator. Eight take-over quality aspects, grouped into pre-TO predictors (attention), during-TO predictors (reaction time, solution suitability), and safety performance (off-road drive, braking, lateral acceleration, time to collision, success), were modeled using multiple linear regression, support vector machines, M5’, 1R, logistic regression, and J48. We interpreted the best-suited models by highlighting the most influential parameters that affect the overall quality of a TO. The results show that these are primarily maximal acceleration (88.6% accurate prediction of collisions) and the TOR-to-first-brake interval. Gradual braking, neither too hard nor too soft, as fast as possible seems to be the strategy that maximizes the overall TO quality. The position of the handheld device and the way it was held prior to TO did not affect TO quality. However, handling the device during TO did affect driver attention when shorter attention times were observed and drivers held their mobile phones in only one hand. In the future, automatic gradual braking maneuvers could be considered instead of immediate full TOs.

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Can Simulated Driving-Based Tasks Reliably Assess Fitness to Drive?

Pečečnik,

Medarević,

Čižman-Štaba

et al. 2024

Lecture Notes in Networks and Systems

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Exploring driving characteristics of fit- and unfit-to-drive neurological patients: a driving simulator study

Cited by 7 publications

References 24 publications

The 3rd Workshop on Localization vs. Internationalization: Accessibility of Autonomous Vehicles by Different End-Users

The 3rd Workshop on Localization vs. Internationalization: Accessibility of Autonomous Vehicles by Different End-Users

Determining Key Parameters with Data-Assisted Analysis of Conditionally Automated Driving

Can Simulated Driving-Based Tasks Reliably Assess Fitness to Drive?

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