User-Driven Adaptation: Tailoring Autonomous Driving Systems with Dynamic Preferences

Author:

Zhang Mingyue1ORCID,Li Jialong2ORCID,Li Nianyu3ORCID,Kang Eunsuk4ORCID,Tei Kenji5ORCID

Affiliation:

1. School of Computer and Information Science, Southwest University, China

2. Waseda university, Japan

3. ZGC Laboratory, China

4. Carnegie Mellon University, United States

5. Tokyo Institute of Technology, Japan

Funder

the Fundamental Research Funds for the Central Universities

the youth project of science and technology research program of Chongqing Education Commission of China

Publisher

ACM

Reference25 articles.

1. Ryotaro Abe, Jinyu Cai, Tianchen Wang, Jialong Li, Shinichi Honiden, and Kenji Tei. 2024. Towards Enhancing Driver’s Perceived Safety in Autonomous Driving: A Shield-based Approach. In Intelligent Systems Design and Applications. Springer.

2. Betty H. C. Cheng Rogério de Lemos Holger Giese Paola Inverardi and Jeff Magee (Eds.). 2009. Software Engineering for Self-Adaptive Systems [outcome of a Dagstuhl Seminar]. Lecture Notes in Computer Science Vol. 5525. Springer.

3. Work with AI and Work for AI: Autonomous Vehicle Safety Drivers’ Lived Experiences

4. Keep Calm and Ride Along: Passenger Comfort and Anxiety as Physiological Responses to Autonomous Driving Styles

5. Nicole Dillen, Marko Ilievski, Edith Law, Lennart E. Nacke, Krzysztof Czarnecki, and Oliver Schneider. 2020. Keep Calm and Ride Along: Passenger Comfort and Anxiety as Physiological Responses to Autonomous Driving Styles. In CHI ’20: CHI Conference on Human Factors in Computing Systems, Honolulu, HI, USA, April 25-30, 2020, Regina Bernhaupt, Florian ’Floyd’ Mueller, David Verweij, Josh Andres, Joanna McGrenere, Andy Cockburn, Ignacio Avellino, Alix Goguey, Pernille Bjøn, Shengdong Zhao, Briane Paul Samson, and Rafal Kocielnik (Eds.). ACM, 1–13.

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