车载智能预警系统中的人机交互

Human-Computer Interaction in Vehicle-borne Intelligent Early Warning System

中文关键词: 车载  智能预警  交互  预警信号

英文关键词: vehicle  intelligent early warning  interaction  early warning signal

中文摘要:

      目的 对现有车载智能预警系统中的人机交互有关研究方法、路径和关注点进行分析总结，找出此方向中的进展和薄弱环节。方法 通过智能汽车的发展重要组成部分——车载智能警示系统整体分析目前长足的进步领域，通过回顾分析车载预警系统的交互范式及交互任务，重点分析了预警系统的信息输出通道，从视觉、听觉、嗅觉、触觉/力学等通道分析近几年的研究成果，并对近几年车载预警系统中的人机交互关注点，如工作方式、风险因子处理、人群研究、交互信号、交互行为的主要研究成果和发展趋势进行了总结。结论 目前国内外的车载警示系统的人机交互研究主要集中在对各种驾驶场景下的预警交互策略、预警系统工作机制，风险行为、道路风险的预警研究上，对弱势群体、宏观政策、从复杂情境感知等角度去研究车载智能警示系统的交互策略和方法较少，预警系统中的与用户的交互问题还处于薄弱状态，缺乏体系，关键点上缺乏深度。

英文摘要:

      The work aims to analyze and summarize the research methods, paths and concerns of human-computer interaction in the existing vehicle-borne intelligent early warning system, and to find out the progress and weaknesses in this direction. Through the important component in the development of intelligent vehicle, the vehicle-borne intelligent warning system, the current considerable progress areas were analyzed as a whole. By reviewing and analyzing the interactive paradigm and tasks of the vehicle-borne early warning system, the information output channels of the early warning system were emphatically analyzed. The research results in recent years were analyzed from the visual, auditory, olfactory, tactile/mechanical channels. The main research results and development trends of human-computer interaction in early warning system were summarized, such as working mode, risk factor processing, crowd research, interactive signal and interaction behavior. At present, the research on human-computer interaction of vehicle-borne warning system at home and abroad mainly focuses on the early warning interaction strategy, working mechanism of early warning system, risk behavior and road risk early warning research under various driving scenarios. There are few interactive strategies and methods to study the intelligent warning system from the perspective of vulnerable groups, macro-policies and complex situation perception. The user interaction problem is still in a weak state, lacking of system and depth in key points.