Abstract
With the rapid development of the intelligent vehicle industry, in order to improve the efficiency and usability of systems, the interface design of the Human-Computer Interaction of intelligent vehicles has received great attention. In this article, firstly, combined with the domestic and foreign taxonomy of automated driving systems and collaborative design concepts, a framework of human-computer collaborative interaction (Human-Engaged Automated Driving, HEAD) is proposed. Secondly, we discussed the engagement of people and intelligent vehicle at different levels. We analyzed the interaction flow chart under the Human-Computer Collaboration, established the information architecture of Human-Computer Engagement, and conducted the design practice on the Human-Machine Interface. Finally, a case study of the HMI design of Adaptive Cruise Control was performed to validate the HEAD framework. SUS usability test was performed together with an experiment evaluating interface elements in two interface designs: Original UI design and Iterative UI design. This also including a Likert scale questionnaire. The results show that HEAD can guide and improve the Human-Machine Interface design to enhance the efficiency of Human-Computer Interaction and user experience.
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Funding
This work was supported by The National Key Research and Development Program of China (No. 2018YFB1004903), The Projects funded by the National Social Science Fund (No. 19FYSB040), shanghai Automotive Industry Science and Technology Development Fundation (No. 1717).
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Liu, Y., Zhang, J., Li, Y., Hansen, P., Wang, J. (2021). Human-Computer Collaborative Interaction Design of Intelligent Vehicle—A Case Study of HMI of Adaptive Cruise Control. In: Krömker, H. (eds) HCI in Mobility, Transport, and Automotive Systems. HCII 2021. Lecture Notes in Computer Science(), vol 12791. Springer, Cham. https://doi.org/10.1007/978-3-030-78358-7_21
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