Interface Design for Unmanned Vehicle Supervision through Hybrid Cognitive Task Analysis
Name
utrc_hcta_hfes_2012_w_auth.pdf
Size
1.37 MB
Format
Adobe PDF
Checksum (MD5)
6b9e7fe1d8309e95324cf46c52d86a4b
Author(s)
Macbeth, J. C.
Cummings, M. L.
Bertuccelli, L. F.
Surana, A.
Date Issued
October 2012
Publisher
HFES
Citation
Macbeth, J.C., Cummings, M.L., Bertuccelli, L.F., Surana, A., Interface Design for Unmanned Vehicle Supervision through Hybrid Cognitive Task Analysis, Proceedings of HFES 2012: 56th Annual Meeting of the Human Factors and Ergonomics Society, Boston, MA, October, 2012.
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.
Subjects
Unmanned Aerial Systems
Multi-Autonomous Vehicle Insertion- Extraction System
Hybrid Cognitive Task Analysis
Persistent DSpace Link
