Effects of In-Car Support on Mental Workload and Driving Performance of Older Drivers

2009 ◽  
Vol 51 (4) ◽  
pp. 463-476 ◽  
Author(s):  
Ragnhild J. Davidse ◽  
Marjan P. Hagenzieker ◽  
Peter C. van Wolffelaar ◽  
Wiebo H. Brouwer
Keyword(s):  
Mental Workload ◽  
Driving Performance ◽  
Older Drivers

scholarly journals An Investigation of the Effects of Driver Age When Using Novel Navigation Systems in a Head-Up Display

2019 ◽  
Vol 27 (1) ◽  
pp. 32-45
Author(s):  
Sanna M. Pampel ◽  
Katherine Lamb ◽  
Gary Burnett ◽  
Lee Skrypchuk ◽  
Chrisminder Hare ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Real World ◽  
Mental Workload ◽  
Driving Performance ◽  
Older Drivers ◽  
The Other ◽  
Crash Risk ◽  
Navigation Systems ◽  
Success Rates ◽  
Age Related

Although drivers gain experience with age, many older drivers are faced with age-related deteriorations that can lead to a higher crash risk. Head-Up Displays (HUDs) have been linked to significant improvements in driving performance for older drivers by tackling issues related to aging. For this study, two Augmented Reality (AR) HUD virtual car navigation solutions were tested (one screen-fixed, one world-fixed), aiming to improve navigation performance and reduce the discrepancy between younger and older drivers by aiding the appropriate allocation of attention and easing interpretation of navigational information. Twenty-five participants (12 younger, 13 older) undertook a series of drives within a medium-fidelity simulator with three different navigational conditions (virtual car HUD, static HUD arrow graphic, and traditional head-down satnav). Results showed that older drivers tended to achieve navigational success rates similar to the younger group, but experienced higher objective mental workload. Solely for the static HUD arrow graphic, differences in most workload questionnaire items and objective workload between younger and older participants were not significant. The virtual car led to improved navigation performance of all drivers, compared to the other systems. Hence, both AR HUD systems show potential for older drivers, which needs to be further investigated in a real-world driving context.

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.

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.

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.

scholarly journals 2F2-4　The effect of Head Up Display on driving performance and mental workload

2016 ◽  
Vol 52 (Supplement) ◽  
pp. S404-S405
Author(s):  
Yushi FUJIWARA ◽  
Kazumitsu SHINOHARA ◽  
Takahiko KIMURA ◽  
Yasunori KINOSADA
Keyword(s):  
Mental Workload ◽  
Driving Performance

scholarly journals Training Working Memory of Older Drivers: The Effect on Working Memory and Simulated Driving Performance

2015 ◽  
Author(s):  
Ariane Cuenen ◽  
Ellen M.M. Jongen ◽  
Tom Brijs ◽  
Kris Brijs ◽  
Katrijn Houben ◽  
...  
Keyword(s):  
Working Memory ◽  
Driving Performance ◽  
Older Drivers ◽  
Simulated Driving

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.

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