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Journal Article

Citation

Wang MF, Kim J. Trans. Kor. Soc. Automot. Eng. 2023; 31(7): 521-529.

Vernacular Title

시나리오기반의 자율주행차 인테리어 디자인 방법 연구

Copyright

(Copyright © 2023, Korean Society of Automotive Engineers)

DOI

10.7467/KSAE.2023.31.7.521

PMID

unavailable

Abstract

The rapid development of self-driving and AI has profoundly impacted the automobile industry, shaping a development trend in the automobile industry characterized by the integration of automobiles and the Internet. The ongoing transition from non-autonomous driving to self-driving has drastically changed the usage scenarios. These effects can be most apparently witnessed in electric cars' interior configuration. Because of self-driving technology, car interiors are no longer limited to as many spatial and layout constraints, while the removal of the necessity to drive has presented users with more degrees of freedom, allowing them to focus on activities within the car. This creates a set of new specifications for car interior design workflow, in particular one that aims to create new usage scenarios inside the car. Hence, designing car interior configurations that not only fit the usage scenarios and fulfill the user requirements, but also bring enjoyable transportation experience, has become very crucial. However, due to the unsuitability of conventional car interior configurations in offering design guidance for self-driving cars, Therefore, this interior configuration method study was carried out from the perspective of usage scenarios. This research was conducted based on the keyword "usage scenarios", and started by carrying out relevant investigations on self-driving cars. Next, the usage scenarios were defined, and the interactive relationship of the usage scenarios with the interior configuration were explored. Then, a list of user requirements were obtained through analyzing the usage scenarios before being incorporated into the usage scenario research. Lastly, a design method for interior configurations of self-driving cars based on usage scenarios were put forward.


Language: ko

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