Design of Human-Machine Interaction Interface for Autonomous Vehicles Based on Multidimensional Perceptual Context

Abstract

The objective of the study is to provide guidance for automobile human-computer interface design through the research, practice, and evaluation of intelligent driving automobile human-computer interfaces. In this study, the methods of intelligent vehicle automatic cruise control function, theoretical models of the situation analysis, and a three-level information architecture are proposed and designed. During the study, interface space layout is combined with the interactive interface design. The results obtained on the basis of the proposed three levels of perception and prediction of situation awareness are combined with typical application scenarios. The information on AR-HUD and W-HUD in anterior cingulate cortex (or ACC) function is analyzed. The feasibility of the theory is verified through the design practice of information architecture design, key prototype, and typical effect diagram. The human-computer interaction interface based on situational awareness can effectively clarify the display content and process of information and improve the usability of the interface.