Abstract
The purpose of study the influence of automobile instrument character size on the driver's information recognition efficiency and recognition load, explore the best applicable range of instrument characters, and provide guidelines and suggestions for instrument interface design. The method is to use the literature desk analysis and ergonomics research methods to establish the instrument character recognition efficiency and character recognition load experimental scheme, conduct experiments based on the driving simulation system and eye tracker and other equipment, and collect the information acquisition efficiency and recognition load subjective of different character sizes. Reviews to explore the best user experience range for character size.
The result is that the character size was positively correlated with the information recognition efficiency within a certain range, but negatively correlated with the recognition load. When the character increases to a certain range, the recognition efficiency and recognition load are no longer affected by it, and the experience of character information recognition will decrease.
The result is that the character size is positively correlated with the information recognition efficiency within a certain range and is negatively correlated with the recognition load. When the character increases to a certain range, the recognition efficiency and recognition load are no longer affected by it, and the experience of character information recognition will decrease.
The conclusion is that the minimum value of the instrument character should be greater than 2.65 mm. This value is a statically recognizable character size value, but the recognition load is high. It is suitable for interface description information of instrument-independent driving, such as units and labels. Under driving conditions, the character size of driving-related information should be greater than 4.94 mm, and the optimal value for subjective reading experience is 6.58 mm. When it is larger than 8.23 mm, both the character recognition efficiency and the recognition load reach the optimum point. It can provide character size design reference suggestions for instrument information importance priority.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ruozi, S.: Analysis and Research on Visual Display Design of Automobile Instrument. Shenyang University of Aeronautics and Astronautics, Shenyang (2015)
Lei, Z.: Research on Coding Mode of Flight Cockpit Information Display Interface. Beihang University, Beijing (2010)
Qun, W.: Experimental study on ergonomics of character coding in cockpit display interface. Vehicle and Power Technology, January 2015
Jiajie, H.: Comparative Study on User Experience Evaluation of Different Types of Automobile HMI Interfaces Based on Multiple Indicators. Zhejiang Sci-Tech University, Zhejiang (2018)
Legge, G.E., Rubin, G.S., Luebker, A.: Psychophysics of reading. V: the role of contrast in normal vision. Vision Res. 27(7), 1165–1177 (1987)
Legge, G.E., Pelli, D.G., Rubin, G.S., et al.: Psychophysics of reading. I: normal vision. Vision Res. 25(2), 239–252 (1985)
Xiaochao, G.: Influence of spatial frequency, stroke number and word frequency on Chinese character recognition. Ergonomics 5(4), 5–11 (1999)
Jijia, Z., Huiping, W., Zhang, A., et al.: Influence of stroke complexity and repetition on stroke and Chinese character cognition. J. Psychol. 34(5), 449–453 (2002)
Bhise, V.D.: Ergonomics in Automobile Design. China Machinery Industry Press, Beijing (2014)
Yin, M.: Research on the design method of man-machine interface of automobile cab. Xihua University (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Yang, Z., Liu, P., Liang, L., Ji, C., Liao, R., Wang, T. (2022). Research on Applicability of Automobile Instruments Character Size. In: Rau, PL.P. (eds) Cross-Cultural Design. Product and Service Design, Mobility and Automotive Design, Cities, Urban Areas, and Intelligent Environments Design. HCII 2022. Lecture Notes in Computer Science, vol 13314. Springer, Cham. https://doi.org/10.1007/978-3-031-06053-3_20
Download citation
DOI: https://doi.org/10.1007/978-3-031-06053-3_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-06052-6
Online ISBN: 978-3-031-06053-3
eBook Packages: Computer ScienceComputer Science (R0)