测量基于交互的次要任务负荷：使用真实驾驶数据的大规模方法
Measuring Interaction-based Secondary Task Load: A Large-Scale Approach using Real-World Driving Data
摘要：
中央触摸屏是驾驶员与车辆之间的主要HMI（人机界面）。它们变得越来越大，越来越复杂，并取代了以前可以使用触觉界面控制的功能。为了确保触摸屏HMI可以安全操作，它们受到严格的规定和精心设计的测试协议的约束。这些方法和用户试验需要功能齐全的原型，并且昂贵且耗时。因此，希望在开发过程中尽早估计特定接口或交互序列的工作量。为了解决这个问题，我们设想了一种基于模型的方法，该方法基于用户交互和UI元素的组合，可以预测驾驶员在与中心屏幕交互时的次要任务负载。在这项工作中，我们介绍了我们的现状，初步结果，以及我们对基于大规模自然驾驶数据的基于模型的系统的愿景。
英文摘要：
Center touchscreens are the main HMI (Human-Machine Interface) between the driver and the vehicle. They are becoming, larger, increasingly complex and replace functions that could previously be controlled using haptic interfaces. To ensure that touchscreen HMI can be operated safely, they are subject to strict regulations and elaborate test protocols. Those methods and user trials require fully functional prototypes and are expensive and time-consuming. Therefore it is desirable to estimate the workload of specific interfaces or interaction sequences as early as possible in the development process. To address this problem, we envision a model-based approach that, based on the combination of user interactions and UI elements, can predict the secondary task load of the driver when interacting with the center screen. In this work, we present our current status, preliminary results, and our vision for a model-based system build upon large-scale natural driving data.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
