Driving Task: How Older Drivers’ On-Road Driving Performance Relates to Abilities, Perceptions, and Restrictions

2016 ◽  
Vol 35 (S1) ◽  
pp. 15-31 ◽  
Author(s):  
Sjaan Koppel ◽  
Judith L. Charlton ◽  
Jim Langford ◽  
Marilyn Di Stefano ◽  
Wendy MacDonald ◽  
...  
Keyword(s):  
Driving Performance ◽  
Older Drivers ◽  
Capacité Fonctionnelle ◽  
Driving Task ◽  
Capacités Fonctionnelles

RÉSUMÉCette étude a examiné une cohorte de 227 conducteurs âgés et a étudié la relation entre leur performance sur la grille d’observation e-DOS pour manœuvres de conduite et (1) les caractéristiques des conducteurs; (2) les capacités fonctionnelles; (3) les perceptions des capacités et le confort pendant la conduite, ainsi que (4) les restrictions auto-déclarées de la conduite. Les participants (hommes: 70%; âge: M = 81.53 ans, É-T = 3,37 ans) a achevé une série de mesures de la capacité fonctionnelle et d’écailles sur le confort, les capacités et les restrictions aperçut du Candrive / Ozcandrive protocole d’évaluation Année 2, avec une tâche de conduite e-DOS. Les observations des comportements de conduite des participants au cours de la tâche de conduite ont été enregistrées pour : la négociation au carrefour, le changement de voie, la fusion, les manœuvres à basse vitesse, et la conduite sans manoeuvres. Les scores de conduite e-DOS étaient élevés (M = 94,74; É-T = 5,70) et étaient liés d’une façon significative aux capacité de conduite perçu des participants, la fréquence rapporté de la conduite dans des situations difficiles, et le nombre de restrictions de la conduite. Les analyses futures exploreront les changements potentiels dans les scores de tâches de conduite au fil du temps.

Introducing Multimodal Sliding Index: Qualitative Feedback, Perceived Workload, and Driving Performance with an Auditory Enhanced Menu Navigation Method

2017 ◽  
Author(s):  
Ruta R. Sardesai ◽  
Thomas M. Gable ◽  
Bruce N. Walker
Keyword(s):  
Mobile Device ◽  
Mental Workload ◽  
Driving Performance ◽  
Audio Cues ◽  
Qualitative Feedback ◽  
Speed Up ◽  
Driving Task ◽  
Perceived Workload ◽  
New Type ◽  
Navigation Method

Using auditory menus on a mobile device has been studied in depth with standard flicking, as well as wheeling and tapping interactions. Here, we introduce and evaluate a new type of interaction with auditory menus, intended to speed up movement through a list. This multimodal “sliding index” was compared to use of the standard flicking interaction on a phone, while the user was also engaged in a driving task. The sliding index was found to require less mental workload than flicking. What’s more, the way participants used the sliding index technique modulated their preferences, including their reactions to the presence of audio cues. Follow-on work should study how sliding index use evolves with practice.

scholarly journals Acceptance of Transportation Technologies by Aging Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 555-555
Author(s):  
Neil Charness ◽  
Dustin Souders ◽  
Ryan Best ◽  
Nelson Roque ◽  
JongSung Yoon ◽  
...  
Keyword(s):  
Older Adults ◽  
Older Adult ◽  
Detection System ◽  
Blind Spot ◽  
Driving Performance ◽  
Older Drivers ◽  
Crash Risk ◽  
Warning Systems ◽  
Risk Of Death ◽  
Spot Detection

Abstract Older adults are at greater risk of death and serious injury in transportation crashes which have been increasing in older adult cohorts relative to younger cohorts. Can technology provide a safer road environment? Even if technology can mitigate crash risk, is it acceptable to older road users? We outline the results from several studies that tested 1) whether advanced driver assistance systems (ADAS) can improve older adult driving performance, 2) older adults’ acceptance of ADAS and Autonomous Vehicle (AV) systems, and 3) perceptions of value for ADAS systems, particularly for blind-spot detection systems. We found that collision avoidance warning systems improved older adult simulator driving performance, but not lane departure warning systems. In a young to middle-aged sample the factor “concern with AV” showed age effects with older drivers less favorable. Older drivers, however, valued an active blind spot detection system more than younger drivers.

Task-induced fatigue states and simulated driving performance

2002 ◽  
Vol 55 (2) ◽  
pp. 659-686 ◽  
Author(s):  
Gerald Matthews ◽  
Paula A. Desmond
Keyword(s):  
Motor Vehicle ◽  
Driving Performance ◽  
Task Demands ◽  
Vehicle Accidents ◽  
Stress Symptoms ◽  
Performance Impairment ◽  
Driving Task ◽  
Effort Regulation ◽  
Compensatory Effort

States of fatigue are implicated in driver impairment and motor vehicle accidents. This article reports two studies investigating two possible mechanisms for performance impairment: (1) loss of attentional resources; and (2) active regulation of matching effort to task demands. The first hypothesis predicts that fatigue effects will be accentuated by high task demands, but the second hypothesis predicts that fatigue effects will be strongest in “underload” conditions. In two studies, drivers performed a stimulated driving task, in which task demands were manipulated by varying road curvature. In a “fatigue induction” condition, the early part of the drive was occupied by performance of a demanding secondary task concurrently with driving, after which the concurrent task ceased. Post-induction driving performance was compared with a control condition in which drivers were not exposed to the induction. In both studies, the fatigue induction elicited various subjective fatigue and stress symptoms, and also raised reported workload. Fatigue effects on vehicle control and signal detection were assessed during and after the fatigue induction. The fatigue induction increased heading error, reduced steering activity, and, in the second study, reduced perceptual sensitivity on a secondary detection task. These effects were confined to driving on straight rather than on curved road sections, consistent with the effort regulation hypothesis. The second study showed that fatigue effects were moderated by a motivational manipulation. Results are interpreted within a control model, such that task-induced fatigue may reduce awareness of performance impairment, rather than reluctance or inability to mobilize compensatory effort following detection of impairment.

scholarly journals Impact of Age-Related Vision Changes on Driving

2020 ◽  
Vol 17 (20) ◽  
pp. 7416
Author(s):  
Sonia Ortiz-Peregrina ◽  
Carolina Ortiz ◽  
Miriam Casares-López ◽  
José J. Castro-Torres ◽  
Luis Jiménez del Barco ◽  
...  
Keyword(s):  
Linear Regression ◽  
Visual Function ◽  
Driving Simulator ◽  
Multiple Linear Regression Model ◽  
Driving Performance ◽  
Older Drivers ◽  
Linear Regression Models ◽  
Simulated Driving ◽  
Age Related ◽  
Intraocular Straylight

Aging leads to impaired visual function, which can affect driving—a very visually demanding task—and has a direct impact on an individual’s quality of life if their license is withdrawn. This study examined the associations between age-related vision changes and simulated driving performance. To this end, we attempted to determine the most significant visual parameters in terms of evaluating elderly drivers’ eyesight. Twenty-one younger drivers (aged 25–40) were compared to 21 older drivers (aged 56–71). Study participants were assessed for visual acuity, contrast sensitivity, halos, and intraocular straylight, which causes veiling luminance on the retina and degrades vision. Driving performance was evaluated using a driving simulator. The relationships between simulated driving performance and the visual parameters tested were examined with correlation analyses and linear regression models. Older drivers presented impairment in most visual parameters (p < 0.05), with straylight being the most significantly affected (we also measured the associated effect size). Older drivers performed significantly worse (p < 0.05) in the simulator test, with a markedly lower performance in lane stability. The results of the multiple linear regression model evidenced that intraocular straylight is the best visual parameter for predicting simulated driving performance (R2 = 0.513). Older drivers have shown significantly poorer results in several aspects of visual function, as well as difficulties in driving simulator performance. Our results suggest that the non-standardized straylight evaluation could be significant in driver assessments, especially at the onset of age-related vision changes.

Comparison of Primary and Secondary Task Measures as a Function of Simulated Vehicle Dynamics and Driving Conditions

1978 ◽  
Vol 20 (2) ◽  
pp. 233-244 ◽  
Author(s):  
Walter W. Wierwille ◽  
James C. Gutmann
Keyword(s):  
Task Performance ◽  
Vehicle Dynamics ◽  
Secondary Task ◽  
Driving Simulator ◽  
Driving Performance ◽  
Independent Variables ◽  
Moving Base ◽  
High Workload ◽  
Driving Task ◽  
Task Measure

In a previously reported experiment involving a moving base driving simulator with computer-generated display, secondary task measures of workload showed significant increases as a function of large changes in vehicle dynamics and disturbance levels. Because the secondary task measures appeared less sensitive than desired, driving performance measures recorded during the same experiment were later analyzed. Particular emphasis in examining the driving performance data was placed on (1) determining the degree of intrusion of the secondary task on the driving task as a function of the independent variables, and (2) on comparing the sensitivity of the primary and secondary task measures. The results showed the secondary task does intrude significantly upon the driving task performance at low workload levels, but that it does not significantly intrude at high workload levels. Also, when the four primary task measures were analyzed for sensitivity to the independent variables, new information was obtained indicating greater sensitivity than is obtained with the single secondary task measure. Steering ratio, for example, is found to affect performance at high disturbance levels—a result not obtained in examining the secondary task by itself. The merits of primary and secondary task performance analysis are discussed, and suggestions are made for future work.

scholarly journals ARE OLDER DRIVERS’ DRIVING PATTERNS DURING AN ON-ROAD DRIVING TASK REPRESENTATIVE OF THEIR REAL-WORLD DRIVING?

2018 ◽  
Vol 2 (suppl_1) ◽  
pp. 562-562
Author(s):  
S Koppel ◽  
J L Charlton ◽  
P Hua ◽  
P Y Liu ◽  
H Pham ◽  
...  
Keyword(s):  
Real World ◽  
Older Drivers ◽  
Driving Patterns ◽  
Driving Task

Personal and Clinical Factors Associated with Older Drivers’ Self-Awareness of Driving Performance

2020 ◽  
pp. 1-15 ◽  
Author(s):  
Yu-Ting Chen ◽  
Isabelle Gélinas ◽  
Barbara Mazer ◽  
Anita Myers ◽  
Brenda Vrkljan ◽  
...  
Keyword(s):  
Processing Speed ◽  
Driving Performance ◽  
Older Drivers ◽  
Driving Safety ◽  
Driving Ability ◽  
Accurate Estimation ◽  
Self Awareness ◽  
Motor Processing ◽  
Two Factors ◽  
Trail Making

ABSTRACT Most older adults perceive themselves as good drivers; however, their perception may not be accurate, and could negatively affect their driving safety. This study examined the accuracy of older drivers’ self-awareness of driving ability in their everyday driving environment by determining the concordance between the perceived (assessed by the Perceived Driving Ability [PDA] questionnaire) and actual (assessed by electronic Driving Observation Schedule [eDOS]) driving performance. One hundred and eight older drivers (male: 67.6%; age: mean = 80.6 years, standard deviation [SD] = 4.9 years) who participated in the study were classified into three groups: underestimation (19%), accurate estimation (29%), and overestimation (53%). Using the demographic and clinical functioning information collected in the Candrive annual assessments, an ordinal regression showed that two factors were related to the accuracy of self-awareness: older drivers with better visuo-motor processing speed measured by the Trail Making Test (TMT)-A and fewer self-reported comorbid conditions tended to overestimate their driving ability, and vice versa.

Driving While Interacting With Google Glass: Investigating the Combined Effect of Head-Up Display and Hands-Free Input on Driving Safety and Multitask Performance

2017 ◽  
Vol 59 (4) ◽  
pp. 671-688 ◽  
Author(s):  
Kathryn G. Tippey ◽  
Elayaraj Sivaraj ◽  
Thomas K. Ferris
Keyword(s):  
Positive Impact ◽  
Driving Performance ◽  
Driving Safety ◽  
Google Glass ◽  
Secondary Tasks ◽  
Voice Input ◽  
Text Input ◽  
Texting While Driving ◽  
Driving Task ◽  
The Individual

Objective: This study evaluated the individual and combined effects of voice (vs. manual) input and head-up (vs. head-down) display in a driving and device interaction task. Background: Advances in wearable technology offer new possibilities for in-vehicle interaction but also present new challenges for managing driver attention and regulating device usage in vehicles. This research investigated how driving performance is affected by interface characteristics of devices used for concurrent secondary tasks. A positive impact on driving performance was expected when devices included voice-to-text functionality (reducing demand for visual and manual resources) and a head-up display (HUD) (supporting greater visibility of the driving environment). Method: Driver behavior and performance was compared in a texting-while-driving task set during a driving simulation. The texting task was completed with and without voice-to-text using a smartphone and with voice-to-text using Google Glass’s HUD. Results: Driving task performance degraded with the addition of the secondary texting task. However, voice-to-text input supported relatively better performance in both driving and texting tasks compared to using manual entry. HUD functionality further improved driving performance compared to conditions using a smartphone and often was not significantly worse than performance without the texting task. Conclusion: This study suggests that despite the performance costs of texting-while-driving, voice input methods improve performance over manual entry, and head-up displays may further extend those performance benefits. Application: This study can inform designers and potential users of wearable technologies as well as policymakers tasked with regulating the use of these technologies while driving.

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