Reliability of simulator driving tool for evaluation of sleepiness, fatigue and driving performance

Davenne, Damien; Lericollais, Romain; Sagaspe, Patricia; Taillard, Jacques; Gauthier, Antoine; Éspié, Stéphane; Philip, Pierre

doi:10.1016/j.aap.2011.09.046

Cited by 89 publications

(42 citation statements)

References 26 publications

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“…Based on Meuleners and Fraser (2015), the behavior of participants driving in a simulator is not significantly different from that seen in real driving situations. Davenne et al (2012) stated that driving for four hours leads to a significant decrease in performance, yet this does not extend to subjective fatigue. It can thus be concluded that the driving simulator has relative validity that represents real driving.…”

Section: Hydrodynamic Performancementioning

confidence: 99%

Effect Of Driving Duration On Eeg Fluctuations

Puspasari¹,

Iridiastadi

Sutalaksana

et al. 2017

IJTech

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Road accidents are a major issue in Indonesia, and their number increases every year. Based on previous studies, mental fatigue is one of the biggest factors leading to road accidents and is majorly affected by mental workload. Driving duration is one of the factors that triggers mental fatigue. The prior literature cites electroencephalogram (EEG) measurement as the gold standard for measuring fatigue. However, there has been only limited study to examine the EEG indicators that are affected by driving duration, and the prior research still contains disagreements regarding the best EEG parameter for use in measuring fatigue. Therefore, this study aimed to evaluate the effect of driving duration on EEG fluctuation and determine the best EEG parameter related to fatigue. Seven participants were asked to spend three hours driving in a medium-fidelity simulator. A one-way ANOVA and correlation analysis were performed to measure the effect of driving duration on the EEG indicators and determine the correlation of the indicators. A Receiver Operating Characteristics (ROC) curve was also utilized to determine the variable with the greatest correlation with the subjective sleepiness indices. The results showed that at the end of three hours' driving, there was an increment in delta and theta activities, followed by a decrement in alpha and beta activities. In addition, the correlation of all bands was significant, with positive results for the alpha-beta and theta-delta bands, and a negative result in relation to each other. Furthermore, the results from the ROC curve revealed the Relative Power Ratio (RPR) of theta, the RPR of alpha, and the ratio of θ/α+β to be the best indicators among others, demonstrating a high degree of accuracy (above 85%).

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Section: Hydrodynamic Performancementioning

confidence: 99%

Effect Of Driving Duration On Eeg Fluctuations

Puspasari¹,

Iridiastadi

Sutalaksana

et al. 2017

IJTech

View full text Add to dashboard Cite

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“…W trakcie badań na symulatorach możliwe jest badanie procesu zmęczenia, obciążenia pracą i wpływu określonego rodzaju substancji (w tym psychoaktywnych) na zdolność człowieka do wykonywania czynności operatorskich [6][7][8][9]. Badania te w efekcie końcowym przybliżają nas do lepszego zrozumienia mechanizmów odpowiedzialnych za błąd człowieka, a także mogą stanowić cenne źródło wiedzy na temat ograniczeń człowieka wynikających ze środowiska, w jakim funkcjonuje.…”

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Simulator sickness and its measurement with Simulator Sickness Questionnaire (SSQ)

Biernacki

Kennedy

Dziuda

2016

Med Pr

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StreszczenieJednym z najczęściej stosowanych narzędzi do badania choroby symulatorowej jest Kwestionariusz Choroby Symulatorowej (Simulator Sickness Questionnaire -SSQ) autorstwa Kennedy'ego i wsp. (1993). Mimo niewątpliwej popularności tego narzędzia kwestionariusz nie doczekał się standaryzacji ani przekładu umożliwiającego jego stosowanie w badaniach w Polsce. Celem artykułu jest przybliżenie kwestionariusza SSQ polskim czytelnikom, zarówno badaczom, jak i praktykom. W jego pierwszej czę-ści omówiono badania z zastosowaniem SSQ, natomiast w drugiej przedstawiono procedurę badania SSQ i zaprezentowano SSQ wraz ze sposobem obliczania przykładowych wyników. Med. Pr. 2016;67(4):545-555 Słowa kluczowe: mdłości, dezorientacja, zaburzenia okulomotoryczne, choroba symulatorowa, symulatory, kwestionariusz SSQ AbstractOne of the most common methods for studying the simulator sickness issue is the Simulator Sickness Questionnaire (SSQ) (Kennedy et al., 1993). Despite the undoubted popularity of the SSQ, this questionnaire has not as yet been standardized and translated, which could allow us to use it in Poland for research purposes. The aim of our article is to introduce the SSQ to Polish readers, both researchers and practitioners. In the first part of this paper, the studies using the SSQ are discussed, whereas the second part consists of the description of the SSQ test procedure and the calculation method of sample results. Med Pr 2016;67 (4) WSTĘPObecnie już chyba nikogo nie trzeba przekonywać, że symulatory są i będą coraz częściej stosowane -zarów-no w badaniach naukowych, wyborze operatorów, jak i szkoleniach z udziałem kierowców samochodów osobowych, ciężarowych i uprzywilejowanych, pilotów samolotów oraz operatorów urządzeń (np. wózków widłowych). W przypadku badań naukowych stosowanie symulatorów ma tę niewątpliwą zaletę, że umożliwia (we względnie kontrolowanym i bezpiecznym środo-wisku) rejestrowanie wielu zmiennych fizjologicznych i związanych z samym procesem wykonania zadania. Najczęściej bada się następujące zmienne fizjologiczne: wskaźniki okulograficzne, sercowo-naczyniowe i zwią-zane z reakcją skórno-galwaniczną [1][2][3][4][5].

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“…The use of simulators in research is becoming more and more popular [3][4][5]. It should be remembered that in the course of these studies, the impact of specific test conditions on the level of fatigue or workload is being assessed [6,7]. Simulators are also used to evaluate the influence of certain psychoactive substances on the operator (e.g.…”

Section: Introductionmentioning

confidence: 99%

Mood and simulator sickness after truck simulator exposure

Biernacki¹,

Dziuda²

2014

International Journal of Occupational Medicine and Environmental Health

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Objectives: Studies involving simulators are increasingly popular. We examined to what extent exposure to a variety of test conditions on the simulator affects the level of mood and severity of simulator sickness. In addition, we were interested in finding out to what degree the changes in mood are associated with the severity of the symptoms of simulator sickness. Material and Methods: Twelve men (aged M: 29.8, SD: 4.26) participated in the study, performing two 30-minute tasks in a driving simulator truck (fixed-base and mobile platform). For measuring mood, the UMACL questionnaire was used, and to assess the severity of the symptoms of simulator sickness, the SSQ questionnaire was used. Mood and the severity of simulator sickness symptoms were measured 3 times during the study (pretest, 2 min and 0.5 h after the test). Results: Symptoms of nausea and disorientation occurred after the tests on both simulators. In the case of the mobile platform, exacerbation of the symptoms associated with oculomotor disturbances was observed. These symptoms were particularly severe 2 min after completion of the test on the simulator, and they persisted for at least 0.5 h after the end of the test. The correlations between simulator sickness and mood explained from 35% to 65% of the variance of these variables. In particular, a strong association was observed between the oculomotor disturbances and a decrease in energetic arousal. This refers both to the effect level and the duration of these symptoms. Conclusions: Simulator sickness is a major problem in the use of simulators in both the research and the training of operators. In the conditions involving the mobile platform, not only was a higher severity of the symptoms of simulator sickness observed, but also a decrease in energetic arousal. Therefore, the implementation of the mobile platform can provide an additional source of conflict at the level of incoming stimuli and changes in mood may increase this effect. Thus, it seems important to consider the tasks performed on the simulator in the context of utility and the purpose for which we use them.

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Reliability of simulator driving tool for evaluation of sleepiness, fatigue and driving performance

Cited by 89 publications

References 26 publications

Effect Of Driving Duration On Eeg Fluctuations

Effect Of Driving Duration On Eeg Fluctuations

Simulator sickness and its measurement with Simulator Sickness Questionnaire (SSQ)

Mood and simulator sickness after truck simulator exposure

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