Interface Design for Unmanned Vehicle Supervision Through Hybrid Cognitive Task Analysis

Authors

Jamie C. Macbeth, Massachusetts Institute of TechnologyFollow
M. L. Cummings, Massachusetts Institute of Technology
Luca F. Bertuccelli, United Technologies Research Center
Amit Surana, United Technologies Research Center

Document Type

Conference Proceeding

Publication Date

12-1-2012

Publication Title

Proceedings of the Human Factors and Ergonomics Society

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.

First Page

2344

Last Page

2348

DOI

10.1177/1071181312561435

ISSN

10711813

Rights

Copyright 2012 by Human Factors and Ergonomics Society, Inc. All rights reserved.

Comments

Archived as published.

Recommended Citation

Macbeth, Jamie C.; Cummings, M. L.; Bertuccelli, Luca F.; and Surana, Amit, "Interface Design for Unmanned Vehicle Supervision Through Hybrid Cognitive Task Analysis" (2012). Computer Science: Faculty Publications, Smith College, Northampton, MA.
https://scholarworks.smith.edu/csc_facpubs/169