Simulation Sickness Related to Virtual Reality Driving Simulation

Ihemedu-Steinke, Quinate Chioma; Rangelova, Stanislava; Weber, Michael; Erbach, Rainer; Meixner, Gerrit; Marsden, Nicola

doi:10.1007/978-3-319-57987-0_42

Cited by 17 publications

(12 citation statements)

References 22 publications

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“…An unexpected finding of this study was that male participants were more likely to suffer sweating than female participants; however, females were more likely to experience headache and nausea. Although the impact of gender on the severity of DSS symptoms was not found to be as significant as in most past studies, these results are in line with some past studies ( 40 – 42 ). The results of the OP model are presented in Table 5.…”

Section: Analysis and Resultssupporting

confidence: 89%

“…Most of the past reviewed studies confirmed that women were more likely to experience DSS symptoms than men (35)(36)(37)(38)(39). Nevertheless, some studies found that gender did not play a role in DSS symptoms (40)(41)(42). Motion sickness was recognized in some research as an influencing factor in increasing the possibility of simulator sickness (24,(43)(44)(45).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Motion sickness was recognized in some research as an influencing factor in increasing the possibility of simulator sickness ( 24 , 43 – 45 ). However, Frank et al stated that this factor may not affect DSS symptoms ( 40 , 41 ).…”

Section: Literature Reviewmentioning

confidence: 99%

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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: 89%

Section: Literature Reviewmentioning

confidence: 99%

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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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“…Although this study was not focused on 885 the reduction of simulator sickness, we adopted some wellknown strategies [38] on both the Virtual Environment (such as straight road, simple environment and low peripheral optical flow) and the physical system (positional coherence of the virtual and the real steering wheel) to limit 890 the manifestation of oculo-vestibular conflicts. Thanks to these choices, the SSQ results (mean score T S = 21.32 and the absence of dropouts), are comparable, or even lower, than the score found in recent studies about simulation sickness related to virtual reality driving simulation 895 [46,14]. However, further studies focused on this issue are needed to validate this result and to improve the training experience.…”

Section: Simulator Sicknessmentioning

confidence: 51%

Get ready for automated driving using Virtual Reality

Sportillo

Paljic

Ojeda

2018

Accident Analysis & Prevention

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In conditionally automated vehicles, drivers can engage in secondary activities while traveling to their destination. However, drivers are required to appropriately respond, in a limited amount of time, to a take-over request when the system reaches its functional boundaries. Interacting with the car in the proper way from the first ride is crucial for car and road safety in general. For this reason, it is necessary to train drivers in a risk-free environment by providing them the best practice to use these complex systems. In this context, Virtual Reality (VR) systems represent a promising training and learning tool to properly familiarize drivers with the automated vehicle and allow them to interact with the novel equipment involved. In addition, Head-Mounted Display (HMD)-based VR (light VR) would allow for the easy deployment of such training systems in driving schools or car dealerships. In this study, the effectiveness of a light Virtual Reality training program for acquiring interaction skills in automated cars was investigated. The effectiveness of this training was compared to a user manual and a fixed-base simulator with respect to both objective and self-reported measures. Sixty subjects were randomly assigned to one of the systems in which they went through a training phase followed by a test drive in a high-end driving simulator. Results show that the training system affects the take-over performances. Moreover, self-reported measures indicate that the light VR training is preferred with respect to the other systems. Finally, another important outcome of this research is the evidence that VR plays a strategic role in the definition of the set of metrics for profiling proper driver interaction with the automated vehicle.

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“…One BAC evaluation subject however complained about dizziness when playing the Car Race game. Dizziness is a symptom of simulation sickness, 36 known to be associated with VR simulations. The Car Race game was the one of two therapeutic games where the camera view was moving in the scene.…”

Section: Discussionmentioning

confidence: 99%

Novel integrative rehabilitation system for the upper extremity: Design and usability evaluation

Burdea

Kim

Polistico

et al. 2021

Journal of Rehabilitation and Assistive Technologies Engineerin

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Purpose Design and test the usability of a novel virtual rehabilitation system for bimanual training of gravity supported arms, pronation/supination, grasp strengthening, and finger extension. Methods A robotic rehabilitation table, therapeutic game controllers, and adaptive rehabilitation games were developed. The rehabilitation table lifted/lowered and tilted up/down to modulate gravity loading. Arms movement was measured simultaneously, allowing bilateral training. Therapeutic games adapted through a baseline process. Four healthy adults performed four usability evaluation sessions each, and provided feedback using the USE questionnaire and custom questions. Participant’s game play performance was sampled and analyzed, and system modifications made between sessions. Results Participants played four sessions of about 50 minutes each, with training difficulty gradually increasing. Participants averaged a total of 6,300 arm repetitions, 2,200 grasp counts, and 2,100 finger extensions when adding counts for each upper extremity. USE questionnaire data averaged 5.1/7 rating, indicative of usefulness, ease of use, ease of learning, and satisfaction with the system. Subjective feedback on the custom evaluation form was 84% favorable. Conclusions The novel system was well-accepted, induced high repetition counts, and the usability study helped optimize it and achieve satisfaction. Future studies include examining effectiveness of the novel system when training patients acute post-stroke.

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Simulation Sickness Related to Virtual Reality Driving Simulation

Cited by 17 publications

References 22 publications

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

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

Get ready for automated driving using Virtual Reality

Novel integrative rehabilitation system for the upper extremity: Design and usability evaluation

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