Investigating Users’ Preferences in Adaptive Driving Styles for Level 2 Driving Automation-Reference-Cited by-同舟云学术

Investigating Users’ Preferences in Adaptive Driving Styles for Level 2 Driving Automation

Published:2022-09-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
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Author:

Sajedinia Zahra¹,Akash Kumar¹,Zheng Zhaobo²,Misu Teruhisa¹,Dong Miaomiao³,Krishnamoorthy Vidya³,Martinez Kimberly³,Sureshbabu Keertana³,Huang Gaojian³

Affiliation:

1. Honda Research Institute USA, Inc., United States

2. Honda Research Institute, USA Inc, United States

3. San Jose State University, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543174.3546088

Reference26 articles.

1. How trust can drive forward the user acceptance to the technology? In-vehicle technology for autonomous vehicle

2. Kumar Akash , Neera Jain , and Teruhisa Misu . 2020. Toward Adaptive Trust Calibration for Level 2 Driving Automation . Association for Computing Machinery , New York, NY, USA , 538–547. https://doi.org/10.1145/3382507.34 1888 5 10.1145/3382507.3418885 Kumar Akash, Neera Jain, and Teruhisa Misu. 2020. Toward Adaptive Trust Calibration for Level 2 Driving Automation. Association for Computing Machinery, New York, NY, USA, 538–547. https://doi.org/10.1145/3382507.3418885

3. Do You Want Your Autonomous Car To Drive Like You?

4. Objective metrics of comfort: Developing a driving style for highly automated vehicles

5. Comfort in automated driving: An analysis of preferences for different automated driving styles and their dependence on personality traits

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