Interface Design for Unmanned Vehicle Supervision through Hybrid Cognitive Task Analysis
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 th...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Human Factors and Ergonomics Society
2013
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| Online Access: | http://hdl.handle.net/1721.1/82044 |
| _version_ | 1826208752489988096 |
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| author | Macbeth, Jamie C. Cummings, M. L. Bertuccelli, Luca F. Surana, Amit |
| author2 | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
| author_facet | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Macbeth, Jamie C. Cummings, M. L. Bertuccelli, Luca F. Surana, Amit |
| author_sort | Macbeth, Jamie C. |
| collection | MIT |
| description | 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_indexed | 2024-09-23T14:11:11Z |
| format | Article |
| id | mit-1721.1/82044 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T14:11:11Z |
| publishDate | 2013 |
| publisher | Human Factors and Ergonomics Society |
| record_format | dspace |
| spelling | mit-1721.1/820442022-10-01T19:40:44Z Interface Design for Unmanned Vehicle Supervision through Hybrid Cognitive Task Analysis Macbeth, Jamie C. Cummings, M. L. Bertuccelli, Luca F. Surana, Amit Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Massachusetts Institute of Technology. Humans and Automation Lab Macbeth, Jamie C. Cummings, M. L. 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. 2013-11-08T15:16:38Z 2013-11-08T15:16:38Z 2012-10 Article http://purl.org/eprint/type/ConferencePaper 1541-9312 http://hdl.handle.net/1721.1/82044 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. en_US http://www.hfes.org/web/HFESMeetings/2012AMProgram.pdf Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Human Factors and Ergonomics Society MIT web domain |
| spellingShingle | Macbeth, Jamie C. Cummings, M. L. Bertuccelli, Luca F. Surana, Amit Interface Design for Unmanned Vehicle Supervision through Hybrid Cognitive Task Analysis |
| title | Interface Design for Unmanned Vehicle Supervision through Hybrid Cognitive Task Analysis |
| title_full | Interface Design for Unmanned Vehicle Supervision through Hybrid Cognitive Task Analysis |
| title_fullStr | Interface Design for Unmanned Vehicle Supervision through Hybrid Cognitive Task Analysis |
| title_full_unstemmed | Interface Design for Unmanned Vehicle Supervision through Hybrid Cognitive Task Analysis |
| title_short | Interface Design for Unmanned Vehicle Supervision through Hybrid Cognitive Task Analysis |
| title_sort | interface design for unmanned vehicle supervision through hybrid cognitive task analysis |
| url | http://hdl.handle.net/1721.1/82044 |
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