A Framework for Analyzing and Calibrating Trust in Automated Vehicles-Reference-Cited by-同舟云学术

A Framework for Analyzing and Calibrating Trust in Automated Vehicles

Published:2016-10-24 Issue: Volume: Page:
ISSN:
Container-title:Adjunct Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
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Author:

Mirnig Alexander G.¹,Wintersberger Philipp²,Sutter Christine³,Ziegler Jürgen⁴

Affiliation:

1. Center for Human-Computer Interaction, Christian Doppler Laboratory "Contextual Interfaces" & Department of Computer Sciences, University of Salzburg, Salzburg, Austria

2. CARISSMA, University of Applied Sciences, Ingolstadt, Ingolstadt, Germany

3. Ergonomics & System Design, Institute of Ergonomics & Human Factors, Mechanical Engineering, Technische Universität Darmstadt, Darmstadt, Germany

4. Interactive Systems Group, University of Duisburg-Essen, Duisburg, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3004323.3004326

Reference13 articles.

1. S. Parkin. 2016. Learning to Trust a Self-Driving Car. Retrieved August 02 2016 from http://www.newyorker.com/tech/elements/learning-to-trust-a-self-driving-car. S. Parkin. 2016. Learning to Trust a Self-Driving Car. Retrieved August 02 2016 from http://www.newyorker.com/tech/elements/learning-to-trust-a-self-driving-car.

2. SAE J3016_201401. 2014. Taxonomy and Definitions for Terms Related to On-Road Motor Vehicle Automated Driving Systems. SAE J3016_201401. 2014. Taxonomy and Definitions for Terms Related to On-Road Motor Vehicle Automated Driving Systems.

3. Drivers' Understanding of Adaptive Cruise Control Limitations

4. The challenges of partially automated driving

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