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首页> 外文会议>International Conference on HCI in Mobility, Transport, and Automotive Systems;International Conference on Human-Computer Interaction >A Wizard-of-Oz Experiment: How Drivers Feel and React to the Active Interaction of AI Empowered Product in the Vehicle
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A Wizard-of-Oz Experiment: How Drivers Feel and React to the Active Interaction of AI Empowered Product in the Vehicle

机译：oz-oz-oz实验：驾驶员如何感受和对车辆AI授权产品的主动相互作用的影响

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While driving, the drivers have to put their hands on the steering wheel and keep their eyes on the forward. Besides, the distance from the driver to the screen of the central control panel (center stack) of a vehicle is also limited, which lowers the precision of the interaction between drivers and the wireless communication, entertainment, and driver assistance systems in the vehicle. Fortunately, the idea of Active Interaction of AI-Empowered Product, which enables the systems to provide scenario-based recommendations, could be a solution, which is aiming to enhance the user experience of the interaction between the drivers and the systems in the vehicle during driving. So how could it be created to better meet the behavior habits of drivers'? Twenty-four drivers were recruited as participants and were asked to give subjective evaluations about their satisfaction and the degree of disturbance of the scenario-based recommendation function. We simulated the AI Empowered Product, which provides a precise recommendation to meet the drivers' needs in the vehicle through a Wizard-of-Oz Experiment, and explored factors which we proposed that may have an influence on the drivers feeling and reaction to the active interaction of AI-Empowered Product in the vehicle, including (a) the real-time traffic conditions outside, (b) the in-vehile driver distraction, for instance, whether the driver was listening to music or not. (c) the content of the suggested information, and (d) different ways of information transmission. Furthermore, we also observed and analyzed the drivers' reactions to the active interaction. With the ANOVAs of the satisfaction scores and the degree of disturbance evaluated by participants, combined with the analysis of the participants' reactions, the results show that (a) regarding safety, drivers are not willing to accept recommendation during a traffic jam in which the drivers have to focus on the road conditions; (b) they are more reluctant to be bothered while listening to music; (c) they prefer to accept information that helps them boost driving efficiency (d) they like audio message best, because it is the most efficient way for them to acquire and understand the information, and it would be better if with the visual presentation, such as pictures, to improve the efficiency of information acquisition. Based on the experimental results and behavior analysis, we concluded suggestions for the product design process.
机译：在驾驶时，司机必须把手放在方向盘上，并将目光放在前方。此外，驾驶员到车辆的中央控制面板（中心堆叠）的屏幕的距离也是有限的，这降低了车辆中的驱动器与无线通信，娱乐和驾驶员辅助系统之间的相互作用的精度。幸运的是，AI-Empowered产品的积极互动的想法，使系统能够提供基于情景的建议，可能是一种解决方案，其旨在增强驾驶员和车辆中的系统之间的互动的用户体验驾驶。那么如何创造它以更好地满足司机的行为习惯？被招募了二十四名司机作为参与者，并被要求提供关于他们满意的主观评估和基于情景的推荐功能的扰动程度。我们模拟了AI授权的产品，它提供了一项确切的建议，通过OZ实验，并探索了我们提出的探索因素，这些因素可能会影响司机的感觉和对活跃的反应影响AI-Empowered产品在车辆中的互动，包括（a）外部的实时交通条件，（b）载体驾驶员分心，例如驾驶员是否正在聆听音乐。 （c）建议信息的内容，（d）不同信息传输方式。此外，我们还观察并分析了司机对活性相互作用的反应。随着ANOVA的满意度分数和参与者评估的干扰程度，结合参与者的反应分析，结果表明（a）关于安全，司机在交通堵塞期间不愿意接受推荐司机必须专注于道路状况; （b）在听音乐时，他们更不愿意被困扰; （c）他们更愿意接受帮助他们提高驾驶效率（d）的信息，因为它是最有效的方式获取和理解信息，如果使用视觉演示会更好，如图片，提高信息采集效率。基于实验结果和行为分析，我们对产品设计过程的建议结束了建议。

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