Advertisement
Published in:
2019 | OriginalPaper | Chapter
The Research on Basic Visual Design of Head-Up Display of Automobile Based on Driving Cognition
Authors : Fang You, Jinghui Zhang, Jianmin Wang, Mengting Fu, Zhenghe Lin
Published in: HCI International 2019 - Posters
Publisher: Springer International Publishing
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Abstract
As a new type of vehicle vision interactive device, head up display (HUD) has a good assistant effect on alleviating the visual distraction and action distraction caused by reading vehicle information. At present, the automobile equipped with HUD mainly concentrates on a small number of high-end brands, and the promotion of HUD is in the initial stage. Most of the HUD visual interface designs do not take account the specific needs of the driver in specific scenarios, so drivers need more cognitive resources and workload to read information from these HUD, which easily causes distraction. According to this background of the industry, and based on the size of the important design elements on HUD, this paper carries out the design research of HUD visual interactive interface with the driver workload as the core.
Firstly, the author of this paper investigated the HUD in China auto market in 2018, and organize the information architecture, information layout and main design elements. Then, the ISO standard illumination was simulated in the room, and different sizes of design elements were placed on the optical machine, 36 participants were tested for reaction time (RT) and workload.
This experiment takes weather and age as independent variables and reaction time (RT) as dependent variables, and combines with the evaluation of the workload of the subjects, the results of the test are analyzed. This experiment puts forward a basic research method for new vehicle equipment from the perspective of visual design and cognitive workload, which is of great significance in this experiment.