کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5037421 1472438 2017 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The best way to assess visually induced motion sickness in a fixed-base driving simulator
ترجمه فارسی عنوان
بهترین راه برای ارزیابی بیماری ناشی از حرکت ناشی از حرکت در موتور رانندگی ثابت
موضوعات مرتبط
علوم انسانی و اجتماعی روانشناسی روان شناسی کاربردی
چکیده انگلیسی


- Motion sickness development can be effectively measured using fast numerical scores.
- Treating symptom scores as ordinal data was preferable to assuming an interval scale.
- Habituation: slower symptom increases between and within consecutive drives.
- Adaptation: reduced visually induced motion sickness on the second day of testing.
- Specific road elements were associated with particular symptom increases.

ObjectiveDriving simulator usage is becoming more widespread, yet many users still experience substantial motion sickness-like symptoms induced by optical flow, called visually induced motion sickness (VIMS). The Fast Motion sickness Scale (FMS) allows for continuous on-line assessment of VIMS. Using mixed models for ordinal data, this study investigated how to optimally analyze FMS data, and then used the resulting models to examine the development of symptoms over time in detail. Additionally, the study explored the impact of specific VIMS-inducing road elements.MethodsTwenty-eight healthy young adults without prior simulator experience completed six courses on two days in a fixed-base driving simulator. VIMS severity was reported every minute using the FMS. Each course included two road elements designed to induce VIMS. The data was analyzed using cumulative link mixed models.ResultsThe FMS data deviated clearly from a normal distribution. Treating FMS data as ordinal led to preferable models compared to models assuming interval scale. VIMS increased within each drive and over consecutive courses, but decreased between two days separated by a week (adaptation). Adaptation was attributable to less pronounced symptom increases on the second day, both within each course and between consecutive drives. VIMS increases within each drive were less pronounced during later courses of each day (habituation). Participants differed both in general symptom levels and in their progressions of VIMS over time. Additionally, VIMS-inducing road segments could be identified as leading to higher probabilities of symptom increases.ConclusionMixed models analyses of FMS data from repeated VIMS measurements can benefit from taking deviations from normal distribution and interval scale into account. The gained insights into habituation and adaptation processes, as well as into the impact of specific road elements, can help in planning and conducting future driving simulator experiments.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Transportation Research Part F: Traffic Psychology and Behaviour - Volume 48, July 2017, Pages 74-88
نویسندگان
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