Context-Triggered Factor of an In-vehicle Adaptive Human-Computer Interface Architecture Based on Context-Awareness and Multi-agent

Fang You, Jingyu Yao, Jianmin Wang
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Abstract

Because providing redundant information for in-vehicle human-computer interactions could increase work and cognitive load, this article developed a conceptual architecture for an in-vehicle adaptive human-computer interface (AHCI) to promote the implementation of a clearer and adaptable interface design, discussed the triggered factor based on context-awareness and multi-agent theories. The article presented how to create an appropriate methodology for developing in-vehicle AHCI that could address the demands of multiple users operating in dynamically changing task processing.
基于上下文感知和多智能体的车载自适应人机界面体系结构的上下文触发因素
鉴于为车载人机交互提供冗余信息会增加工作量和认知负荷,本文提出了一种车载自适应人机界面(AHCI)的概念架构,以促进更清晰、适应性更强的人机界面设计的实现,并基于上下文感知和多智能体理论讨论了触发因素。本文介绍了如何创建一种适当的方法来开发车载AHCI,以满足在动态变化的任务处理中操作的多个用户的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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