2020
DOI: 10.3390/su12062157
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An Experimental Approach to Understanding the Impacts of Monitoring Methods on Use Intentions for Autonomous Vehicle Services: Survey Evidence from Japan

Abstract: Safety guidelines for autonomous vehicles (AVs) in many regions or countries require AV service providers to have the means to communicate with vehicles and the ability to stop them safely in case of emergencies. The transition to full deployment of AV services is dependent on more advanced monitoring methods. This study uses a survey of approximately 2000 residents of Japanese cities to investigate how monitoring methods affect their intentions to use these services. In particular, the survey is designed to u… Show more

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Cited by 7 publications
(2 citation statements)
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“…Future qualitative studies could further explore perceptions of AV attendants and the multiple roles they might be expected to fill. Some studies have already started to explore public attitudes toward different types of attendants, finding preferences for onboard attendants versus remote monitoring (65). In the meantime, some AV companies are already choosing-or may be required by state regulations-to launch their services with an onboard safety driver (66).…”
Section: Discussionmentioning
confidence: 99%
“…Future qualitative studies could further explore perceptions of AV attendants and the multiple roles they might be expected to fill. Some studies have already started to explore public attitudes toward different types of attendants, finding preferences for onboard attendants versus remote monitoring (65). In the meantime, some AV companies are already choosing-or may be required by state regulations-to launch their services with an onboard safety driver (66).…”
Section: Discussionmentioning
confidence: 99%
“…Finally, another interesting development of detecting the human behavior when driving is applied in reference [36], where the authors propose a calibration of autonomous driving functions based on automatic emotion recognition. Similar work is presented in works [37][38][39], and other methods for non-intrusive detection of health parameters are also described in [40][41][42].…”
mentioning
confidence: 89%