Vehicular Visualization: Enhancing Mobility Decisions with Human-Machine Interactions

In the age of intelligence, humans pursue a safe and convenient mobility experience. Intelligent vehicles have integrated various machine intelligence to support humans in making decisions on mobility. However, the support fails to meet human expectations because machine intelligence lacks a method...

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Published in:	IEEE transactions on intelligent vehicles Vol. 8; no. 11; pp. 1 - 11
Main Authors:	Wang, Xumeng, Wang, Xingxia, Ma, Siji, Chen, Wei, Wang, Fei-Yue
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01-11-2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Data visualization Decision making decision-making process Decisions human intelligence Intelligent vehicles Machine intelligence Metaverse Solid modeling Visualization visualizations
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Abstract	In the age of intelligence, humans pursue a safe and convenient mobility experience. Intelligent vehicles have integrated various machine intelligence to support humans in making decisions on mobility. However, the support fails to meet human expectations because machine intelligence lacks a method to communicate with humans-verify the understanding of human needs, and explain how machine intelligence works. In this study, we address this issue through vehicular visualizations. Specifically, we summarize the decision-making requirements of humans, introduce how can techniques of vehicular visualizations satisfy these needs, describe prospective application scenes, and discuss future directions of vehicular visualizations to inspire related scholars or developers.
AbstractList	In the age of intelligence, humans pursue a safe and convenient mobility experience. Intelligent vehicles have integrated various machine intelligence to support humans in making decisions on mobility. However, the support fails to meet human expectations because machine intelligence lacks a method to communicate with humans-verify the understanding of human needs, and explain how machine intelligence works. In this study, we address this issue through vehicular visualizations. Specifically, we summarize the decision-making requirements of humans, introduce how can techniques of vehicular visualizations satisfy these needs, describe prospective application scenes, and discuss future directions of vehicular visualizations to inspire related scholars or developers.
Author	Chen, Wei Wang, Xumeng Wang, Fei-Yue Ma, Siji Wang, Xingxia
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SubjectTerms	Data visualization Decision making decision-making process Decisions human intelligence Intelligent vehicles Machine intelligence Metaverse Solid modeling Visualization visualizations
Title	Vehicular Visualization: Enhancing Mobility Decisions with Human-Machine Interactions
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