Validating an Efficient Method to Quantify Motion Sickness
Validating an Efficient Method to Quantify Motion Sickness
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DOI：
10.1177/0018720811403736
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发表时间：
2011-08-01
期刊：
影响因子：
3.3
通讯作者：
Hecht, Heiko
中科院分区：
文献类型：
--
作者：
Keshavarz, Behrang;Hecht, Heiko
目的：晕动病（MS）是一种与真实的或虚拟环境中的运动相关的使人衰弱的副作用。我们分析了MS的预期效果，并提出和验证了一个快速，简单的MS measure.Background：几份问卷测量MS刺激呈现之前或之后，但没有令人满意的工具已建立在曝光过程中快速捕获MS数据。为了填补这一空白，我们引入了快速MS量表（FMS），这是一种口头评分量表，范围从0（完全没有疾病）到20（坦率的疾病）。此外，人们对MS研究中预期效应的作用知之甚少。方法：在本研究中，126名志愿者参加了两个实验。在刺激呈现期间，参与者必须在填写模拟器疾病问卷（SSQ）之前每分钟口头评估MS的严重程度。为了衡量预期效果，参与者被分为三组，无论是积极的，消极的，或中性的expectations.Results：我们比较了SSQ分数的口头评级。SSQ总分（r = 0.785）和恶心分项评分（r = 0.828）的Pearson相关性较高。结论：FMS是一种快速、有效的获取MS数据的方法。它提供了在刺激呈现期间记录MS并捕获其时间过程的可能性。我们发现期望在MS中并不起关键作用。然而，FMS有一些局限性。应用：FMS提供了改进的MS测量。它快速高效，可以在虚拟现实等环境中在线执行。
Objective: Motion sickness (MS) can be a debilitating side effect associated with motion in real or virtual environments. We analyzed the effect of expectancy on MS and propose and validate a fast and simple MS measure.Background: Several questionnaires measure MS before or after stimulus presentation, but no satisfactory tool has been established to quickly capture MS data during exposure. To fill this gap, we introduce the Fast MS Scale (FMS), a verbal rating scale ranging from zero (no sickness at all) to 20 (frank sickness). Also, little is known about the role of expectancy effects in MS studies. We conducted an experiment that addressed this issue.Method: For this study, 126 volunteers participated in two experiments. During stimulus presentation, participants had to verbally rate the severity of MS every minute before filling in the Simulator Sickness Questionnaire (SSQ). To measure expectancy effects, participants were separated into three groups with either positive, negative, or neutral expectations.Results: We compared the verbal ratings with the SSQ scores. Pearson correlations were high for both the SSQ total score (r = .785) and the nausea subscore (r = .828). No expectancy effects were found.Conclusion: The FMS is a fast and valid method to obtain MS data. It offers the possibility to record MS during stimulus presentation and to capture its time course. We found expectancy not to play a crucial role in MS. However, the FMS has some limitations.Application: The FMS offers improved MS measurement. It is fast and efficient and can be performed online in environments such as virtual reality.