Assessing public perception of self-driving cars-Reference-Cited by-同舟云学术

Assessing public perception of self-driving cars

Published:2019-03-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 24th International Conference on Intelligent User Interfaces
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Author:

Hewitt Charlie¹,Politis Ioannis¹,Amanatidis Theocharis¹,Sarkar Advait²

Affiliation:

1. University of Cambridge, Cambridge, UK

2. Microsoft Research, Cambridge, UK

Funder

Evelyn Travers Clarke Milestones Fund

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3301275.3302268

Reference30 articles.

1. Mercedes-Benz: Daimler AG. 2017. Autonomous Driving - Mercedes-Benz. https://www.mercedes-benz.com/en/mercedes-benz/innovation/autonomous-driving/. Mercedes-Benz: Daimler AG. 2017. Autonomous Driving - Mercedes-Benz. https://www.mercedes-benz.com/en/mercedes-benz/innovation/autonomous-driving/.

2. A. Alessandrini A. Cattivera C. Holguin and D. Stam. 2014. CittyMobil2: challenges and opportunities of fully automated mobility. In Road Vehicle Automation. Springer Cham 169--184. A. Alessandrini A. Cattivera C. Holguin and D. Stam. 2014. CittyMobil2: challenges and opportunities of fully automated mobility. In Road Vehicle Automation. Springer Cham 169--184.

3. A. Berinsky G. Huber and G. Lenz. 2011. Using Mechanical Turk as a subject recruitment tool for experimental research. (2011). MIT. A. Berinsky G. Huber and G. Lenz. 2011. Using Mechanical Turk as a subject recruitment tool for experimental research. (2011). MIT.

4. M. Buhrmester T. Kwang and S. Gosling. 2011. Amazon's Mechanical Turk: A new source of inexpensive yet high-quality data? Perspectives on psychological science 6 1 (2011) 3--5. M. Buhrmester T. Kwang and S. Gosling. 2011. Amazon's Mechanical Turk: A new source of inexpensive yet high-quality data? Perspectives on psychological science 6 1 (2011) 3--5.

5. Ford Motor Company. 2017. Ford Autonomous 2021. https://corporate.ford.com/innovation/autonomous-2021.html. Ford Motor Company. 2017. Ford Autonomous 2021. https://corporate.ford.com/innovation/autonomous-2021.html.

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