Motorists' Preferences for Different Levels of Vehicle Automation: 2016

This report builds on the authors' recent series of eight reports addressing public opinion, human factors, and safety-related issues concerning self-driving vehicles. An identical survey to that used in 2015 was administered. The survey was developed to examine motorists’ preferences among levels of vehicle automation, including preferences for interacting with and overall concern about riding in self-driving vehicles. The survey yielded completed responses from 618 licensed drivers in the U.S. The main findings are as follows: The most frequent preference for vehicle automation continues to be for no self-driving capability, followed by partially self-driving vehicles, with completely self-driving vehicles being the least preferred choice. Concern for riding in self-driving vehicles remains higher for completely self-driving vehicles than for partially self-driving vehicles. Respondents still overwhelmingly want to be able to manually control completely self-driving vehicles when desired. Preferences were generally divided between touchscreens or voice commands to input route or destination information for completely self-driving vehicles. Most respondents prefer to be notified of the need to take control of a partially self-driving vehicle with a combination of sound, vibration, and visual warnings. Overall public opinion has been remarkably consistent over the two years that this survey has been conducted. The general patterns of responses have not changed over the course of these two surveys, despite the increased media coverage of self-driving vehicles.

• Record URL:
  http://www.umich.edu/~umtriswt/PDF/SWT-2016-8.pdf
• 
• Corporate Authors:

  University of Michigan, Ann Arbor

  Sustainable Worldwide Transportation
  2901 Baxter Road
  Ann Arbor, MI  United States  48109
• Authors:
  • Schoettle, Brandon
  • Sivak, Michael
• Publication Date: 2016-5

Language

• English

Media Info

• Media Type: Digital/other
• Features: Appendices; Figures; References; Tables;
• Pagination: 23p

Subject/Index Terms

• TRT Terms: Automation; Drivers; Human factors; Intelligent vehicles; Public opinion; Stated preferences; Traffic safety
• Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01644564
• Record Type: Publication
• Report/Paper Numbers: SWT-2016-8
• Files: TRIS
• Created Date: Aug 29 2017 10:09AM