자동화 수준에 따른 자율주행 자동차 수용 인식 차이에 대한 연구

초록

The objective of this study is to identify the factors affecting the drivers’ acceptance of an automated vehicle andto develop an acceptance model for partially and fully automated vehicles. To achieve this, we elicited factorsfrom previous literature and conducted a survey study. Then, a research model was developed consisting ofperceived usefulness, trust, safety, system aspects, infrastructure aspects and driver characteristic. The surveywas conducted with 594 participants (295 : partially automated vehicle, 299 : fully automated vehicle) and theresults were analyzed by the Analysis of Moment Structures (AMOS) software. The results showed that 24 outof 40 hypotheses (12 : partially automated vehicle, 12 : fully automated vehicle) were statistically supported. Weidentified that the factor affecting drivers’ acceptance is different according to the automation level. In conclusion,the importance of trust and safety revealed, and key factors in system aspect, infrastructure aspect and drivercharacteristic derived to promote drivers’ acceptance.

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