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Human-vehicle interaction with a metaphor based collision avoidance interaction pattern

机译:与基于隐喻的碰撞避免交互模式的人车交互

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Following the successful digitalisation of tasks within the aviation domain, this development has now also reached road-based vehicles and is quickly progressing in the form of computer-based, assisted and automated driving. As these systems are becoming increasingly more complex and intelligent, design and interaction patterns can be an effective tool to translate complex systems into schemes that are intuitive to use and thus play a crucial part in the systematic resolution of conflicts between computers and humans.One example of such a conflict are collision avoidance systems due to it overruling the input of the driver in an emergency. As a potential solution, an interaction pattern approach is presented for a non-line-of sight collision avoidance and subsequently evaluated in a driving simulator setting. Here a state of the art emergency brake was compared with an escalating interaction pattern, implemented with different degrees of multi-modality. The authors propose the use of Image Schemas, applying their underlying metaphorical extensions to support an intuitive interaction. An evaluation with Bayesian regression models suggests that a visual and multimodal implementation improves user experience and safety.
机译:在航空域内成功的任务换算之后,这一发展现已达到道路的车辆,并迅速以计算机为基础,辅助和自动驾驶的形式进展。由于这些系统变得越来越复杂和智能,设计和交互模式可以是将复杂系统转化为直观使用的方案的有效工具,从而在计算机和人类之间的冲突系统解决中发挥关键部分。一个例子在这种冲突中是碰撞避免系统,因为它在紧急情况下估计了驾驶员的输入。作为潜在的解决方案,呈现相互作用的方法,以用于非视线碰撞避免并随后在驾驶模拟器设置中进行评估。这里,与不同程度的多模态实现的升级相互作用模式进行了升级的相互作用模式。作者提出了使用图像模式,应用其底层的隐喻延伸来支持直观的互动。与贝叶斯回归模型的评估表明,视觉和多模式实现提高了用户体验和安全性。

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