Adaptation to simulator sickness in older drivers following multiple sessions in a driving simulator

Mackrous, Isabelle; Lavallière, Martin; Teasdale, Normand

doi:10.4017/gt.2013.12.2.004.00

Cited by 10 publications

(3 citation statements)

References 37 publications

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“…The results of ZIOP clearly showed the participants’ driving duration in the driving simulator was associated with a remarkably higher level of severity in all DSS symptoms. This result is concordant with the literature ( 59 – 61 ). Age was the other factor affecting the severity of simulator sickness—participants under 35 years old were less likely to suffer more severe DSS symptoms than were the older group.…”

Section: Analysis and Resultssupporting

confidence: 94%

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Analysis of Driving Simulator Sickness Symptoms: Zero-Inflated Ordered Probit Approach

Nickkar

Jeihani

Sahebi

2019

Transportation Research Record: Journal of the Transportation R

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Driving simulators can provide safe real-world driving conditions that may help researchers study driving behavior; however, driving simulator sickness (DSS) has been recognized as one of the most frequent challenges associated with using driving simulators. The DSS issue may affect the validity and reliability of results obtained during the driving simulator experience. Therefore, it is necessary to understand the potential consequences of DSS in the virtual environment of a driving simulator. The goal of this study is to analyze DSS symptoms among participants of a driving simulator by their demographics. The samples of four simulator studies were combined, including a total of 259 participants who were recruited from different socio-demographic backgrounds and drove a fixed-base driving simulator. All these studies used the same proportion of mixed urban and suburban content in designing the simulation environments of the experiments. A DSS questionnaire based on the standard Simulator Sickness Questionnaire (SSQ) has been used to measure the severity of DSS symptoms—general discomfort, fatigue, headache, eyestrain, blurred vision, salivation, sweating, dizziness, and nausea—among participants. This study applies zero-inflated ordered probit and ordered probit models to evaluate the possible statistical relationships between demographic characteristics and experiment duration, and DSS symptoms. The results show that there is a positive direct statistical relationship between the duration of the experiment and DSS. Also, older participants have more general discomfort, fatigue, blurred vision, and headache symptoms with DSS than do younger ones. Similarly, female participants experience headache and nausea symptoms more than men do.

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Section: Analysis and Resultssupporting

confidence: 94%

“…Generally, participants in driving simulators with more complicated simulation environments are more likely to experience simulator sickness (26,(55)(56)(57)(58). Finally, the majority of past studies proved that there is a positive direct relationship between simulator driving time and DSS symptoms (59)(60)(61).…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of Driving Simulator Sickness Symptoms: Zero-Inflated Ordered Probit Approach

Nickkar

Jeihani

Sahebi

2019

Transportation Research Record: Journal of the Transportation R

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“…This important issue related to the use of simulator or virtual reality is at the forefront of their widespread use for clinics and programs aimed at older individuals, since they present a higher prevalence of symptoms than their younger counterparts [82]. Fortunately, interventions can be tailored to reduce the importance of such symptoms to allow the driver to accommodate to this new driving environment [83].…”

Section: Simulator-based Trainingmentioning

confidence: 99%

Are interventions effective at improving driving in older drivers?: A systematic review

et al. 2020

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Background: With the aging of the population, the number of older drivers is on the rise. This poses significant challenges for public health initiatives, as older drivers have a relatively higher risk for collisions. While many studies focus on developing screening tools to identify medically at-risk drivers, little research has been done to develop training programs or interventions to promote, maintain or enhance driving-related abilities among healthy individuals. The purpose of this systematic review is to synopsize the current literature on interventions that are tailored to improve driving in older healthy individuals by working on components of safe driving such as: selfawareness, knowledge, behaviour, skills and/or reducing crash/collision rates in healthy older drivers. Methods: Relevant databases such as Scopus and PubMed databases were selected and searched for primary articles published in between January 2007 and December 2017. Articles were identified using MeSH search terms: ("safety" OR "education" OR "training" OR "driving" OR "simulator" OR "program" OR "countermeasures") AND ("older drivers" OR "senior drivers" OR "aged drivers" OR "elderly drivers"). All retrieved abstracts were reviewed, and full texts printed if deemed relevant. Results: Twenty-five (25) articles were classified according to: 1) Classroom settings; 2) Computer-based training for cognitive or visual processing; 3) Physical training; 4) In-simulator training; 5) On-road training; and 6) Mixed interventions. Results show that different types of approaches have been successful in improving specific driving skills and/or behaviours. However, there are clear discrepancies on how driving performance/behaviours are evaluated between studies, both in terms of methods or dependent variables, it is therefore difficult to make direct comparisons between these studies. Conclusions: This review identified strong study projects, effective at improving older drivers' performance and thus allowed to highlight potential interventions that can be used to maintain or improve older drivers' safety behind the wheel. There is a need to further test these interventions by combining them and determining their effectiveness at improving driving performance.

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Neuropsychologische und -physiologische Korrelate des Fahrverhaltens älterer Fahrer innerhalb simulierter Umgebungen

Liebherr

Zerr

Brand

2020

Altersgerechte Fahrerassistenzsysteme

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Adaptation to simulator sickness in older drivers following multiple sessions in a driving simulator

Cited by 10 publications

References 37 publications

Analysis of Driving Simulator Sickness Symptoms: Zero-Inflated Ordered Probit Approach

Analysis of Driving Simulator Sickness Symptoms: Zero-Inflated Ordered Probit Approach

Are interventions effective at improving driving in older drivers?: A systematic review

Neuropsychologische und -physiologische Korrelate des Fahrverhaltens älterer Fahrer innerhalb simulierter Umgebungen

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