摘要
为获取汽车智能化背景下更加自然的交互方式,研究基于具身认知理论的AR-HUD交互设计策略。通过对目标用户的功能需求、信息需求和任务情景的分析,对AR-HUD的交互方式与信息架构进行设计,构建状态信息、行车信息与通讯娱乐的眼控交互模型,提出直觉化交互、多通道辅助、自然性转换与动态性反馈四大眼控交互设计策略。
To obtain a more natural interaction mode in the context of automobile intelligence,this study investigates the AR-HUD interaction design strategy based on the theory of embodied cognition.By analyzing the functional requirements,information needs,and task scenarios of the target users,the interaction mode and information architecture of AR-HUD are designed.A gaze-controlled interaction model for status information,driving information,and communication entertainment is constructed,propos-ing four eye-control interaction design strategies:intuitive interaction,multi-channel assistance,natural transition,and dynamic feedback.
作者
郭会娟
王璐
陈习
汪海波
GUO Huijuan;WANG Lu;CHEN Xi;WANG Haibo(Academy of Art and Design,Anhui University of Technology,Ma’anshan 243002,Anhui,China)
出处
《安徽工业大学学报(社会科学版)》
2023年第6期38-42,共5页
Journal of Anhui University of Technology:Social Sciences
基金
安徽省哲学社会科学规划一般项目:非遗数字文创的文化认知与用户体验研究(AHSKY2020D99)。