Faithful motion restitution in driving simulators normally focuses on track monitoring and maximizing the platform workspace by leaving aside the principal component—the driver. Therefore, in this work we investigated the role of the motion perception model on motion cueing algorithms from a user’s viewpoint. We focused on the driving behavior influence regarding motion perception in a driving simulator. Participants drove a driving simulator with two different configurations: (a) using the platform dynamic model and (b) using a supplementary motion perception model. Both strategies were compared and the participants’ data were classified according to the strategy they preferred. To this end, we developed a driving behavior questionnaire aiming at evaluating the self-reported driving behavior influence on participants’ motion cueing preferences.

The results showed significant differences between the participants who chose different strategies and the scored driving behavior in the hostile and violations factors. In order to support these findings, we compared participants’ behaviors and actual motion driving simulator indicators such as speed, jerk, and lateral position. The analysis revealed that motion preferences arise from different reasons linked to the realism or smoothness in motion. Also, strong positive correlations were found between hostile and violation behaviors of the group who preferred the strategy with the supplementary motion perception model, and objective measures such as jerk and speed on different road segments. This indicates that motion perception in driving simulators may depend not only on the type of motion cueing strategy, but may also be influenced by users’ self-reported driving behaviors.

驾驶模拟器中忠实的运动恢复通常将重点放在轨道监视上，而将主要组件（驾驶员）放在一边，从而最大程度地增加平台工作空间。因此，在这项工作中，我们从用户的角度研究了运动感知模型在运动提示算法上的作用。我们专注于驾驶模拟器中有关运动感知的驾驶行为影响。参与者驾驶了具有两种不同配置的驾驶模拟器：（a）使用平台动态模型，（b）使用辅助运动感知模型。比较了这两种策略，并根据参与者偏好的策略对参与者的数据进行了分类。为此，我们开发了一项驾驶行为问卷，旨在评估自我报告的驾驶行为对参与者的运动提示偏好的影响。

结果表明，选择不同策略的参与者与在敌对和违规因素中得分的驾驶行为之间存在显着差异。为了支持这些发现，我们比较了参与者的行为和实际的运动驾驶模拟器指标，例如速度，加速度，横向姿势。分析表明，运动偏好是由与运动的真实感或平滑度相关的不同原因引起的。此外，在喜欢采用补充运动感知模型的策略的人群的敌对行为和违规行为与客观指标（例如在不同路段上的颠簸和速度）之间也发现了强烈的正相关关系。这表明驾驶模拟器中的运动感知可能不仅取决于运动提示策略的类型，