scholarly journals Driver distraction and its effects on partially automated driving performance: A driving simulator study among young-experienced drivers

2022 ◽  
Vol 166 ◽  
pp. 106565
Author(s):  
Noa Zangi ◽  
Rawan Srour-Zreik ◽  
Dana Ridel ◽  
Hadas Chasidim ◽  
Avinoam Borowsky
Keyword(s):  
Driving Simulator ◽  
Driving Performance ◽  
Driver Distraction ◽  
Automated Driving ◽  
Simulator Study

Effects of Individual Differences, Attention, and Memory Deficits on Driver Distraction

2020 ◽  
Vol 64 (1) ◽  
pp. 1196-1201
Author(s):  
Alejandro A. Arca ◽  
Kaitlin M. Stanford ◽  
Mustapha Mouloua
Keyword(s):  
Individual Differences ◽  
Driving Simulator ◽  
Memory Deficits ◽  
Driving Performance ◽  
Driver Distraction ◽  
Phone Call ◽  
Traffic Density ◽  
Attention And Memory ◽  
Adhd Diagnosis ◽  
Simulated Driving

The current study was designed to empirically examine the effects of individual differences in attention and memory deficits on driver distraction. Forty-eight participants consisting of 37 non-ADHD and 11 ADHD drivers were tested in a medium fidelity GE-ISIM driving simulator. All participants took part in a series of simulated driving scenarios involving both high and low traffic conditions in conjunction with completing a 20-Questions task either by text- message or phone-call. Measures of UFOV, simulated driving, heart rate variability, and subjective (NASA TLX) workload performance were recorded for each of the experimental tasks. It was hypothesized that ADHD diagnosis, type of cellular distraction, and traffic density would affect driving performance as measured by driving performance, workload assessment, and physiological measures. Preliminary results indicated that ADHD diagnosis, type of cellular distraction, and traffic density affected the performance of the secondary task. These results provide further evidence for the deleterious effects of cellphone use on driver distraction, especially for drivers who are diagnosed with attention-deficit and memory capacity deficits. Theoretical and practical implications are discussed, and directions for future research are also presented.

scholarly journals MEASUREMENT OF DRIVER DISTRACTION IN MALAYSIA’S TRAFFIC ENVIRONMENT: A DRIVING SIMULATOR STUDY

2015 ◽  
Vol 8 ◽  
pp. 1472-1480
Author(s):  
Mohd Firdaus Mohd Siam ◽  
◽  
Mohd Hafzi Md Isa ◽  
Nurulhana Borhan ◽  
Abdullah Sukardi ◽  
...  
Keyword(s):  
Driving Simulator ◽  
Driver Distraction ◽  
Traffic Environment ◽  
Simulator Study

Towards Mitigating Teenagers’ Distracted Driving Behaviors

2016 ◽  
Vol 60 (1) ◽  
pp. 1879-1883
Author(s):  
Maryam Merrikhpour ◽  
Birsen Donmez
Keyword(s):  
Standard Deviation ◽  
Real Time ◽  
Average Duration ◽  
Study Data ◽  
Driving Performance ◽  
Driver Distraction ◽  
Distracted Driving ◽  
Driving Behaviors ◽  
Simulator Study ◽  
Lane Position

Distraction contributes significantly to teens’ crash risks. Previous studies show that feedback can help mitigate distraction among young and adult drivers; however, the type of feedback that is effective for teenagers remains unexamined. This paper investigates whether real-time and post-drive feedback can mitigate teens’ driver distraction and reports preliminary findings from an ongoing simulator study. Data reported was collected in a between-subjects experiment with three conditions: real-time (n= 8), post-drive (n= 8), and no feedback (n= 9). Real-time feedback was provided as auditory warnings when teens had long offroad glances (>2 sec). Post-drive feedback was an end-of-trip report on teens’ off-road glances and driving performance provided on an in-vehicle display. Compared to no feedback, real-time feedback resulted in significantly smaller number of long off-road glances (>2 sec), smaller average duration of off-road glances, and smaller standard deviation of lane position. The effects observed for post-drive feedback were relatively minor.

Function-Specific Uncertainty Communication in Automated Driving

2019 ◽  
Vol 11 (2) ◽  
pp. 75-97
Author(s):  
Alexander Kunze ◽  
Stephen J. Summerskill ◽  
Russell Marshall ◽  
Ashleigh J. Filtness
Keyword(s):  
Augmented Reality ◽  
Situation Awareness ◽  
Driving Simulator ◽  
Automated Driving ◽  
Driving Experience ◽  
Visual Variables ◽  
Simulator Study ◽  
The Impact

Conveying the overall uncertainties of automated driving systems was shown to improve trust calibration and situation awareness, resulting in safer takeovers. However, the impact of presenting the uncertainties of multiple system functions has yet to be investigated. Further, existing research lacks recommendations for visualizing uncertainties in a driving context. The first study outlined in this publication investigated the implications of conveying function-specific uncertainties. The results of the driving simulator study indicate that the effects on takeover performance depends on driving experience, with less experienced drivers benefitting most. Interview responses revealed that workload increments are a major inhibitor of these benefits. Based on these findings, the second study explored the suitability of 11 visual variables for an augmented reality-based uncertainty display. The results show that particularly hue and animation-based variables are appropriate for conveying uncertainty changes. The findings inform the design of all displays that show content varying in urgency.

The influence of experienced severe road traffic accidents on take-over reactions and non-driving-related tasks in an automated driving simulator study

2021 ◽  
Vol 162 ◽  
pp. 106408
Author(s):  
Klemens Weigl ◽  
Clemens Schartmüller ◽  
Philipp Wintersberger ◽  
Marco Steinhauser ◽  
Andreas Riener
Keyword(s):  
Traffic Accidents ◽  
Driving Simulator ◽  
Road Traffic ◽  
Road Traffic Accidents ◽  
Automated Driving ◽  
Simulator Study

Function-Specific Uncertainty Communication in Automated Driving

2022 ◽  
pp. 1002-1026
Author(s):  
Alexander Kunze ◽  
Stephen J. Summerskill ◽  
Russell Marshall ◽  
Ashleigh J. Filtness
Keyword(s):  
Augmented Reality ◽  
Situation Awareness ◽  
Driving Simulator ◽  
Automated Driving ◽  
Driving Experience ◽  
Visual Variables ◽  
Simulator Study ◽  
The Impact

Conveying the overall uncertainties of automated driving systems was shown to improve trust calibration and situation awareness, resulting in safer takeovers. However, the impact of presenting the uncertainties of multiple system functions has yet to be investigated. Further, existing research lacks recommendations for visualizing uncertainties in a driving context. The first study outlined in this publication investigated the implications of conveying function-specific uncertainties. The results of the driving simulator study indicate that the effects on takeover performance depends on driving experience, with less experienced drivers benefitting most. Interview responses revealed that workload increments are a major inhibitor of these benefits. Based on these findings, the second study explored the suitability of 11 visual variables for an augmented reality-based uncertainty display. The results show that particularly hue and animation-based variables are appropriate for conveying uncertainty changes. The findings inform the design of all displays that show content varying in urgency.

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