Interface Design for Unmanned Vehicle Supervision through Hybrid Cognitive Task Analysis
Name
Cummings_Interface design.pdf
Size
1.37 MB
Format
Adobe PDF
Checksum (MD5)
f6e6c52cb68216da8b993d8c882b2243
Author(s)
Macbeth, Jamie C.
Cummings, M. L.
Bertuccelli, Luca F.
Surana, Amit
Date Issued
October 2012
Journal
Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting
Publisher
Human Factors and Ergonomics Society
Citation
Macbeth, Jamie C. et al. "Interface Design for Unmanned Vehicle Supervision through Hybrid Cognitive Task Analysis." Human Factors and Ergonomics Society 56th Annual Meeting, October 2012.
Version
Author's final manuscript
Abstract
While there is currently significant interest in developing Unmanned Aerial Systems (UASs) that can be supervised by a single operator, the majority of these systems focus on Intelligence, Surveillance, and Reconnaissance (ISR) domains. One domain that has received significantly less attention is the use of multiple UASs to insert or extract supplies or people. To this end, MAVIES (Multi-Autonomous Vehicle Insertion-Extraction System) was developed to allow a single operator the ability to supervise a primary cargo Unmanned Aerial Vehicle (UAV) along with multiple scouting UAVs. This paper will detail the development of the design requirements generated through a Hybrid Cognitive Task Analysis (hCTA) and the display that resulted from these efforts. A major innovation in the hCTA process in this effort was the alteration of the traditional decision ladder process to specifically identify decision-making tasks that must be augmented with automation.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Massachusetts Institute of Technology. Humans and Automation Lab
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
Persistent DSpace Link
DOI of Published Version
http://www.hfes.org/web/HFESMeetings/2012AMProgram.pdf
