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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 >What Humans Might Be Thinking While Driving: Behaviour and Cognitive Models for Navigation
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What Humans Might Be Thinking While Driving: Behaviour and Cognitive Models for Navigation

机译：在驾驶时，人类可能正在考虑的是什么：航行的行为和认知模型

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In an optimally integrated HMS (Human Machine Systems) human and machine understand each other to provide an optimum integration. This is one of the core principles which is applicable for the research frameworks in vehicle navigation domain for effectively conducting research for creating optimal guidance information for the human driver. Creation and integration of human cognitive models for navigation is necessary to follow this principle effectively. BeaCON: Behaviour-and Context-Based Optimal Navigation is an existing research framework in the car navigation domain, for conducting analysis for the research problem "Giving the driver adequate navigation information with minimal interruption". Currently BeaCON does not use the human cognitive models for navigation for the creation of guidance information and because of that the integration with the human driver is not achieved to an optimum level. In this paper, we present enhancement of BeaCON by integrating behaviour and cognitive models of navigation. Understanding the human thoughts while driving enables BeaCON to have a granular analysis of user cognitive state while creating guidance information, which results further cognitive load reduction for navigation tasks by creating more effective guidance information.
机译：在最佳集成的HMS（人机系统）中，人和机器彼此了解以提供最佳的集成。这是适用于车辆导航域中的研究框架的核心原则之一，以便有效地开展用于为人类驾驶员创造最佳指导信息的研究。为导航的人类认知模型的创建和整合是有效遵循这个原则的必要条件。信标：行为和基于上下文的最佳导航是汽车导航域中的现有研究框架，用于对研究问题进行分析，“使驾驶员充分导航信息具有最小的中断”。目前，烽火不使用人类认知模型来创建指导信息，并且由于与人类驾驶员的集成没有实现到最佳水平。在本文中，我们通过整合行为和导航模型来提高信标。在驾驶时理解人类思想使信标能够在创建引导信息的同时具有用户认知状态的粒度分析，从而通过创建更有效的引导信息，导致导航任务的进一步认知负荷降低。

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