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

Details

• Creators:
  Guo, Xiaolei ; Wan, Dayu ; Liu, Dongfang ; Mousas, Christos ; Chen, Yingjie
• Corporate Creators:
  Purdue University ; Center for Connected and Automated Transportation (CCAT)
• Corporate Contributors:
  United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program
• Subject/TRT Terms:
  • Autonomous vehicles
  • Virtual reality
  • Test beds
  • Human machine systems
  • Data collection
  • Vehicle design
  • Human factors engineering
  • Human-autonomous vehicle interaction
  • Virtual reality testbed
  • External human-machine interface
• Publication/ Report Number:
  38
• DOI:
  http://dx.doi.org/10.5703/1288284317567
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report, Jan 1 2019 – Dec 31 2021
• Corporate Publisher:
  University of Michigan. Center for Connected and Automated Transportation
• Abstract:
  The study developed Human-Autonomous Vehicle Interaction Testbed (HAVIT), a VR-based platform that enables researchers and designers to quickly configure AV interaction scenarios and evaluate their design concepts during the design process in a holistic and consistent manner. The HAVIT presents an efficient workflow that combines the tasks of Scenario Configuration, Experimental Setting, and Batch Configuration. The developed workflow enables the user to quickly and flexibly configure motion behaviors of AVs and external human-machine interfaces (eHMIs) through visual panels and direct manipulation, and carry out experimental settings through its Data Collection and Testing Instruction components. It also readily enacts and enables the user to reasonably iterate and generate virtual scenarios for testing in an immersive manner. The study conducted usability testing with domain experts and designers, and thereby ascertained the effectiveness of HAVIT support of AV interactive design processes.
• Format:
  PDF
• Funding:
  69A3551747105
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/72964/dot_72964_DS1.pdf
• File Type:
  [PDF - 4.87 MB]
• Collection(s):
  Autonomous Vehicles ; University Transportation Centers
• Main Document Checksum:
  urn:sha-512:ea54d6fbaf21ffcfcbb5a5b206c18dfc9f1e3a01a09fcb260e2d95ac56b3451b1fae9f35be15cf4d199b0fefe28c9a9811f8d73f80cbf6a5690d7fe2fa545541