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Title: Enabling Situation Awareness Under High Levels of Automation: Results From An Experimental Study

Abstract

The Department of Energy’s Advanced Reactor Technologies (ART) program sponsors research, development and deployment activities through its Next Generation Nuclear Plant, Advanced Reactor Concepts, and Advanced Small Modular Reactor (aSMR) programs to promote safety, technical, economical, and environmental advancements of innovative Generation IV nuclear energy technologies. The Human Automation Collaboration (HAC) research project is located under the aSMR program, which identifies developing advanced instrumentation and controls and human-machine interfaces as one of four key research areas. New nuclear plants are expected to employ significantly more advanced technology than the systems in the current reactor fleet as well as utilize automation to a greater extent. However, advancing technology and increasing automation does not necessarily imply improved efficiency and safety of the plant. Instead, a number of concerns about how these technologies will affect human performance and the overall safety of the plant need to be addressed. More specifically, it is important to investigate how the operator and the automation work as a team to ensure effective and safe plant operation, also known as the human-automation collaboration (HAC). The HAC project at INL, investigates collaboration methods between a system’s automation and human operators and how that collaboration impacts the performance and reliabilitymore » of overall system performance. Some well documented human performance issues associated with typical human automation collaboration methods include reduced operator situation awareness (SA), complacency, and over reliance on the system automation (Endsley, 1995, 1996, 1997; Endsley & Kaber, 1999; Kaber & Endsley, 1997, 2004; Parasuraman et al., 2000; Sheridan, 2002; Wickens & Hollands, 2000; Wright & Kaber, 2005). The HAC research effort addresses how to best design the collaboration between the operators and the automated systems in a manner that has the greatest positive impact on overall plant performance and reliability, hence addressing many of the documented issues. The ultimate goal of the HAC research effort is to develop design guidance that supports optimal interaction between humans and automated systems.« less

Authors:
ORCiD logo [1]; ORCiD logo [1];  [1]; ORCiD logo [1];  [1]
  1. Idaho National Laboratory (INL), Idaho Falls, ID (United States)
Publication Date:
Research Org.:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Org.:
USDOE Office of Nuclear Energy (NE)
OSTI Identifier:
1482987
Report Number(s):
INL/EXT-15-35791-Rev002
DOE Contract Number:  
AC07-05ID14517
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS; Automation; Situation Awareness; Advanced Nuclear Reactors; Adaptive Automation; Levels of Automation

Citation Formats

Blanc, Katya Le, Spielman, Zachary, Bower, Gordon, Oxstrand, Johanna, and Bly, Aaron. Enabling Situation Awareness Under High Levels of Automation: Results From An Experimental Study. United States: N. p., 2015. Web. doi:10.2172/1482987.
Blanc, Katya Le, Spielman, Zachary, Bower, Gordon, Oxstrand, Johanna, & Bly, Aaron. Enabling Situation Awareness Under High Levels of Automation: Results From An Experimental Study. United States. doi:10.2172/1482987.
Blanc, Katya Le, Spielman, Zachary, Bower, Gordon, Oxstrand, Johanna, and Bly, Aaron. Wed . "Enabling Situation Awareness Under High Levels of Automation: Results From An Experimental Study". United States. doi:10.2172/1482987. https://www.osti.gov/servlets/purl/1482987.
@article{osti_1482987,
title = {Enabling Situation Awareness Under High Levels of Automation: Results From An Experimental Study},
author = {Blanc, Katya Le and Spielman, Zachary and Bower, Gordon and Oxstrand, Johanna and Bly, Aaron},
abstractNote = {The Department of Energy’s Advanced Reactor Technologies (ART) program sponsors research, development and deployment activities through its Next Generation Nuclear Plant, Advanced Reactor Concepts, and Advanced Small Modular Reactor (aSMR) programs to promote safety, technical, economical, and environmental advancements of innovative Generation IV nuclear energy technologies. The Human Automation Collaboration (HAC) research project is located under the aSMR program, which identifies developing advanced instrumentation and controls and human-machine interfaces as one of four key research areas. New nuclear plants are expected to employ significantly more advanced technology than the systems in the current reactor fleet as well as utilize automation to a greater extent. However, advancing technology and increasing automation does not necessarily imply improved efficiency and safety of the plant. Instead, a number of concerns about how these technologies will affect human performance and the overall safety of the plant need to be addressed. More specifically, it is important to investigate how the operator and the automation work as a team to ensure effective and safe plant operation, also known as the human-automation collaboration (HAC). The HAC project at INL, investigates collaboration methods between a system’s automation and human operators and how that collaboration impacts the performance and reliability of overall system performance. Some well documented human performance issues associated with typical human automation collaboration methods include reduced operator situation awareness (SA), complacency, and over reliance on the system automation (Endsley, 1995, 1996, 1997; Endsley & Kaber, 1999; Kaber & Endsley, 1997, 2004; Parasuraman et al., 2000; Sheridan, 2002; Wickens & Hollands, 2000; Wright & Kaber, 2005). The HAC research effort addresses how to best design the collaboration between the operators and the automated systems in a manner that has the greatest positive impact on overall plant performance and reliability, hence addressing many of the documented issues. The ultimate goal of the HAC research effort is to develop design guidance that supports optimal interaction between humans and automated systems.},
doi = {10.2172/1482987},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {7}
}

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