Identification of Adaptive Driving Style Preference through Implicit Inputs in SAE L2 Vehicles-Reference-Cited by-同舟云学术

Identification of Adaptive Driving Style Preference through Implicit Inputs in SAE L2 Vehicles

Published:2022-11-07 Issue: Volume: Page:
ISSN:
Container-title:INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
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Author:

Zheng Zhaobo¹^ORCID,Akash Kumar²^ORCID,Misu Teruhisa²,Krishnamoorthy Vidya³,Dong Miaomiao³,Lee Yuni³,Huang Gaojian⁴

Affiliation:

1. Honda Research Institute, USA Inc, United States

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

3. San Jose State University, United States

4. Department of Industrial and Systems Engineering, San Jose State University, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3536221.3556637

Reference35 articles.

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2. A Classification Model for Sensing Human Trust in Machines Using EEG and GSR

3. Toward Adaptive Trust Calibration for Level 2 Driving Automation

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5. Hanna Bellem , Thorben Schönenberg , Josef F. Krems , and Michael Schrauf . 2016. Objective metrics of comfort: Developing a driving style for highly automated vehicles. Transportation Research Part F: Traffic Psychology and Behaviour 41 (8 2016 ), 45–54. https://doi.org/10.1016/J.TRF.2016.05.005 10.1016/J.TRF.2016.05.005 Hanna Bellem, Thorben Schönenberg, Josef F. Krems, and Michael Schrauf. 2016. Objective metrics of comfort: Developing a driving style for highly automated vehicles. Transportation Research Part F: Traffic Psychology and Behaviour 41 (8 2016), 45–54. https://doi.org/10.1016/J.TRF.2016.05.005

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