Evaluating the Impact of Increased Volume of Data Transmission on Teleoperated Vehicles

In the future, operators may be required to control and monitor multiple Teleoperated vehicles which could potentially increase usage errors, particularly in situations of high demand. The volume and type of data presented to an operator is key to ensuring accurate and successful operation. The current work examined the impact of increased sensor and automation state feedback on operator interactions with a teleoperated vehicle. Participants completed a simulation that required a teleoperated vehicle to be piloted to a specified region. The vehicle was equipped with both manual and autonomous control modes. It was found that increased sensor and automation state feedback increased the total number of manual interactions with the vehicle, as well as increased situation awareness. The presentation of sensor and automation state feedback may facilitate clearer understanding of automation and enable more precise and timely manual interactions.

• Record URL:
  https://doi.org/10.1007/978-3-030-20503-4
• Record URL:
  https://link.springer.com/chapter/10.1007/978-3-030-20503-4_58
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9783030205027
• Supplemental Notes:
  • © Springer Nature Switzerland AG 2020.
• Corporate Authors:

  Springer International Publishing

  ,    
• Authors:
  • Pope, Kiome A
  • Roberts, Aaron P J
  • Fenton, Christopher J
  • Stanton, Neville A
• Conference:
  • International Conference on Human Factors in Transportation (AHFE 2019)
  • Location: Washington DC, United States
  • Date: 2019-7-24 to 2019-7-28
• Publication Date: 2019-6

Language

• English

Media Info

• Media Type: Web
• Edition: 1
• Features: References;
• Pagination: pp 645-655
• Monograph Title: Advances in Human Factors of Transportation: Proceedings of the AHFE 2019 International Conference on Human Factors in Transportation, July 24-28, 2019, Washington D.C., USA
• Serial:
  • Advances in Intelligent Systems and Computing
  • Volume: 964
  • Publisher: Springer International Publishing
  • ISSN: 2194-5357
  • Serial URL: http://link.springer.com/bookseries/11156

Subject/Index Terms

• TRT Terms: Connected vehicles; Data communications; Operators (Persons); Remote control; Workload
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01880648
• Record Type: Publication
• ISBN: 9783030205027
• Files: TRIS
• Created Date: Apr 21 2023 9:51AM