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Too Sick to Drive: How Motion Sickness Severity Impacts Human Performance

机译:病得无法开车:晕动病严重程度如何影响人类绩效

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There are multiple concerns surrounding the development and rollout of self-driving cars. One issue has largely gone unnoticed - the adverse effects of motion sickness as induced by self-driving cars. The literature suggests conditionally, highly and fully autonomous vehicles will increase the onset likelihood and severity of motion sickness. Previous research has shown motion sickness can have a significant negative impact on human performance. This paper uses a simulator study design with 51 participants to assess if the scale of motion sickness is a predictor of human performance degradation. This paper finds little proof that subjective motion sickness severity is an effective indicator of the scale of human performance degradation. The performance change of participants with lower subjective motion sickness is mostly statistically indistinguishable from those with higher subjective sickness. Conclusively, those with even acute motion sickness may be just as affected as those with higher sickness, considering human performance. Building on these results, it could indicate motion sickness should be a consideration for understanding user ability to regain control of a self-driving vehicle, even if not feeling subjectively unwell. Effectiveness of subjective scoring is discussed and future research is proposed to help ensure the successful rollout of self-driving vehicles.
机译:围绕自动驾驶汽车的开发和推出存在多种担忧。一个问题在很大程度上没有引起注意-自动驾驶汽车引起的晕车的不利影响。文献表明,有条件的,高度自动驾驶的车辆会增加晕车发作的可能性和严重性。先前的研究表明,晕车可能会对人体表现产生重大负面影响。本文使用51名参与者的模拟器研究设计来评估晕动病的规模是否是人类绩效下降的预测因素。本文几乎没有证据表明主观晕动病严重程度是衡量人类绩效下降程度的有效指标。在统计学上,与主观疾病较高的参与者相比,主观运动疾病较低的参与者的表现变化在统计学上几乎没有区别。结论是,考虑到人类的表现,即使是急性晕车病患者也可能与那些晕车病患者一样受到影响。基于这些结果,即使没有主观不适感,也可能表示晕车应成为理解用户重新控制自动驾驶车辆能力的考虑因素。讨论了主观评分的有效性,并提出了未来的研究以帮助确保自动驾驶汽车的成功推出。

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