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How to Define the Passenger's Hazard Perception Level by Combining Subjective and Objective Measures?

机译:如何结合主观和客观指标来定义旅客的危险感知水平?

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With the prosperous growing of intelligent technology, the automobile industry is developing towards an unmanned and intelligent generation. However, making a car drive in a human-like way is still a great challenge to engineers, which slows the adoption of such cars in a mass scale. Considering human perception capabilities during the design process might be a solution to this problem, and hazard perception is of great important. The aim of the study is to propose a theoretical framework for exploring the relationship between driving environment and human perceived hazards to give suggestions on designing human-like vehicle controllers. Correlating objective environmental factors with subjective hazard ratings. Human-in-the-loop experiments were carried out on a high-fidelity driving simulator. 27 driving scenarios were designed and implemented for 14 participants to acquire their subjective hazard ratings, while objective measurements were also recorded. Specifically, by using the proposed methodology hazard perception level of passenger can be measured by using the subjective parameters adopted during the experiment, which stands for the subjective assessment of passenger's hazard perception. To find what dynamic parameters having a significant correlation with hazard perception level, a seven scale of subjective hazard perception was defined from -3 to 3, namely over dangerous, dangerous, a little dangerous, normal, a little cautious, cautious, overcautious. Objective measures of environment include the velocity and acceleration of the subjective car and the distance between the subjective car and obstacle. A 3*3*3 mixed ANOVA was carried out in our study in order to find out the correlation between the environment and subjective assessment. The finding shows us that the interaction of velocity and acceleration and distance has a strong correlation with the passenger's hazard perception. The others show no correlation be-tween hazard perception assessment.
机译:随着智能技术的蓬勃发展,汽车工业正朝着无人驾驶和智能化的方向发展。但是,以类似于人的方式驾驶汽车对工程师来说仍然是一个巨大的挑战,这减慢了大规模使用此类汽车的速度。在设计过程中考虑人类的感知能力可能是解决此问题的方法,而危害感知至关重要。该研究的目的是为探索驾驶环境与人类感知的危险之间的关系提供一个理论框架,从而为设计类似人的车辆控制器提供建议。将客观环境因素与主观危害等级相关联。在高保真驾驶模拟器上进行了在环实验。为14位参与者设计并实施了27种驾驶场景,以获取他们的主观危害等级,同时还记录了客观测量结果。具体地,通过使用所提出的方法,可以通过使用在实验期间采用的主观参数来测量乘客的危险感知水平,其代表对乘客的危险感知的主观评估。为了找到与危险感知水平显着相关的动态参数,将主观危险感知的等级分为七个等级,范围为-3到3,即危险程度过大,危险程度,危险程度,正常程度,谨慎程度,谨慎程度,谨慎程度。客观的环境度量包括主观汽车的速度和加速度以及主观汽车与障碍物之间的距离。为了研究环境与主观评估之间的相关性,我们在研究中进行了3 * 3 * 3的混合方差分析。这一发现向我们表明,速度,加速度和距离之间的相互作用与乘客的危险感知有很强的相关性。其他的研究表明危害感知评估之间没有相关性。

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