The Study of Driving Simulator Validation for Physiological Signal Measures

Li, Jiahui; Zhao, Xiaohua; Xu, Shili; Ma, Jun; Rong, Jian

doi:10.1016/j.sbspro.2013.08.288

Cited by 25 publications

(14 citation statements)

References 3 publications

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“…Previous studies have used the EEG to explore the brain electrical processing in real and simulated environment in order to compare how real the simulated environment were [16,33,34]. In this regard, in our study, generally speaking, we did not find significant differences between playing chess in a computer or in a real environment.…”

Section: Discussioncontrasting

confidence: 39%

“…Due to the emergence of virtual reality and simulated contexts, the study of the quality of these environments is of great interest for researchers and clinicians. Similar to this paradigm, a previous study has compared the heart rate as well as the EEG response in a simulator vs. real drive [16]. Moreover, previous studies in aviation showed that the psychophysiological response is very analogous in the simulator and in real flight [17][18][19].…”

Section: Introductionmentioning

confidence: 97%

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Heart and Brain Responses to Real Versus Simulated Chess Games in Trained Chess Players: A Quantitative EEG and HRV Study

Fuentes-García

Pereira

Castro

et al. 2019

IJERPH

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The aim of the present study was to investigate how the heart and the brain react to playing chess with a computer versus in a real context in chess players. We also aim to investigate if familiarization with simulated practice leads to changes in heart rate variability (HRV) and the electroencephalographic (EEG) power spectrum. We designed a cross-sectional study, enrolling 27 chess players. They were randomly assigned to 3 minutes plus 2-second chess games: one with a computer (simulated scenario), and another in a real context. Additionally, participants were divided into two groups according to their level of familiarization of playing chess in a computer context. While they were playing, HRV and EEG were continuously recorded. Differences in HRV and EEG theta power spectrum between playing chess in a real or a simulated scenario were not found in chess players (p-value > 0.05). When participants were divided into groups (familiarized and unfamiliarized with simulated chess practice), significant differences were observed in HRV and EEG (p-value < 0.05). The EEG theta power spectrum was significantly lower, and HRV was higher in unfamiliarized players during the simulated scenario, which could indicate that they were less focused in a simulated environment than in a real context. Therefore, familiarization with simulated environments should be taken into account during the training process to achieve the best performance.

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Section: Discussioncontrasting

confidence: 39%

Section: Introductionmentioning

confidence: 97%

Heart and Brain Responses to Real Versus Simulated Chess Games in Trained Chess Players: A Quantitative EEG and HRV Study

Fuentes-García

Pereira

Castro

et al. 2019

IJERPH

View full text Add to dashboard Cite

show abstract

“…The validity of this simulator in studying driving behavior has been verified in previous research [26][27][28]. A total of 250 drivers have participated in driving-behavior-related research on this driving simulator, and this simulator has also been evaluated through questionnaires.…”

Section: Apparatusmentioning

confidence: 81%

“…One of the issues of driving simulator-based studies is the validation of the driving simulator. To solve this problem, we have conducted some validation experiments [26][27][28] and require each of participant to complete a questionnaire used to evaluate the reality of our driving simulation. It is showed that results from our driving simulator are in accordance with that from filed test; and participants feel the driving experiences in our driving simulator is similar to the real world.…”

Section: Discussionmentioning

confidence: 99%

Assessing the Influence of Adverse Weather on Traffic Flow Characteristics Using a Driving Simulator and VISSIM

et al. 2019

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The occurrence of adverse weather exacerbates traffic flow conditions, often leading to severe traffic congestions. Many studies have been conducted based on field-collected data to obtain the effects of weather on traffic flow characteristics. However, there is a limitation for filed data-based studies, in that weather conditions and traffic conditions are both noncontrollable and nonrepeatable, making it difficult to comprehensively assess the influence of weather conditions, especially the rare extreme weather conditions, on traffic flow characteristics. This paper proposes to assess these effects with the combination of driving simulator and traffic simulation. A driving simulator can collect driving behavior by conducting weather-related driving simulation experiments, while a microscopic traffic simulation program can evaluate the changes in traffic flow characteristics by inputting driving behavior parameters coming from the driving simulator. The proposed method can overcome the limitation of the field data-based approach. In this paper, the structure of the assessment platform is introduced at first. Then a verification experiment is conducted to measure the influences of adverse weather conditions on traffic flow characteristics. The verification experiment results show that the influences of adverse weather on traffic flow characteristics have consistent tendencies with outcomes from previous research and demonstrate that the method is practicable for the analysis of the influence of weather on traffic flow characteristics. This paper provides a practical way to analyze the influence of weather on traffic flow from driving behavior’s point of view.

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“…The performance of the driving simulator can substantially influence the experimental test results. In order to achieve the reliable and unbiased experimental data, our driving simulator in Beijing University of Technology has been well calibrated and validated in many previous studies (Xu, 2012;Li et al, 2013;Ding et al, 2014). For example, about 200 post-drive subjective questionnaires were collected from different experiments using the driving simulator.…”

Section: Discussion and Research Limitationsmentioning

confidence: 99%

A generic approach for examining the effectiveness of traffic control devices in school zones

Zhao

Ding

et al. 2015

Accident Analysis & Prevention

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The Study of Driving Simulator Validation for Physiological Signal Measures

Cited by 25 publications

References 3 publications

Heart and Brain Responses to Real Versus Simulated Chess Games in Trained Chess Players: A Quantitative EEG and HRV Study

Heart and Brain Responses to Real Versus Simulated Chess Games in Trained Chess Players: A Quantitative EEG and HRV Study

Assessing the Influence of Adverse Weather on Traffic Flow Characteristics Using a Driving Simulator and VISSIM

A generic approach for examining the effectiveness of traffic control devices in school zones

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