Abstract
In order to ensure the driver’s safe driving, the human–computer interaction interface of an intelligent vehicle needs to convey important information. The text is an important carrier of this kind of information. The design criteria of English characters have been widely discussed, including the color, meaning, size and length. However, design guidelines for Chinese characters in central consoles of vehicles have rarely been discussed from a human–computer interaction perspective. In this paper, we investigated the size and the length of Chinese characters in the intelligent vehicle’s central control screen, based on international design guidelines and standards. The experiment involved 30 participants performing simulated in-vehicle secondary tasks. The result from the experiments shows that the usability of characters increases and the driver’s workload decreases as the characters get larger and shorter. We also propose a set of recommended values for the size and length of Chinese characters in this context. Future work will focus on providing design guidelines for other aspects of HMI design in intelligent vehicles.
Highlights
With the development and application of technology in automotive technology [1,2], the automotive industry faces the new challenge of designing revolutionary human–machine interface (HMI) for the mass production of intelligent vehicles, and the complexity of in-vehicle interfaces has increased dramatically
There are few studies about the effect of the size and length of Chinese fonts in the in-vehicle interface. They are assumed to have a great impact on driver behavior, so we focus on these two aspects of Chinese characters
In order to establish a successful human–computer interaction through visual signals, Bottoni et al [17] suggest that the correct communication occurs if a pair of inverse morphisms can be established between user meaning and computer meaning
Summary
With the development and application of technology in automotive technology [1,2], the automotive industry faces the new challenge of designing revolutionary human–. Studied braking prediction through the analysis of big data and displayed this prediction information on the interface to promote the driver’s ecological driving behavior. Many of these applications use texts to display information on the central control screen, from live weather reports, vehicle fault warnings to integrated navigation systems with the address lists and the direction of a trip. We carry out experiments to draw design guidelines for the displayed size and the number of Chinese characters per row in the intelligent vehicle’s central control screen based on usability and the drivers’ performance
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