A Virtual Reality Framework to Measure Psychological and Physiological Responses of the Self-Driving Car Passengers

The aim of this proposal is to develop a virtual reality framework and incorporate virtual reality technology to examine and understand the physiological and psychological responses of self-driving car passengers. After developing the virtual reality framework, volunteers will be asked to participate in studies examining their anxiety levels and other psychological and physiological responses. Participants will act as car passengers in a virtual self-driving car and be immersed in a virtual reality trip. Participants will be asked to wear a head-mounted display (HMD) and enjoy the trip in the self-driving car. During the experiment, the participants’ anxiety will be captured by recording the electrodermal responses using galvanic skin response (GSR) sensors.

Project

  • Status: Active
  • Funding: $78738.79 Tot. ($39369.40 CCAT) ($39369.40 Purdue)
  • Contract Numbers:

    69A3551747105

  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    Center for Connected and Automated Transportation

    University of Michigan, Ann Arbor
    Ann Arbor, MI  United States  48109
  • Project Managers:

    Tucker-Thomas, Dawn

  • Performing Organizations:

    Purdue University, Lyles School of Civil Engineering

    550 Stadium Mall Drive
    West Lafayette, IN  United States  47907
  • Principal Investigators:

    Mousas, Christos

  • Start Date: 20190101
  • Expected Completion Date: 20191231
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program
  • Subprogram: Research

Subject/Index Terms

Filing Info

  • Accession Number: 01742579
  • Record Type: Research project
  • Source Agency: Center for Connected and Automated Transportation
  • Contract Numbers: 69A3551747105
  • Files: UTC, RiP
  • Created Date: Aug 12 2019 1:07PM