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Title: Identifying Requirements for Effective Human-Automation Teamwork

Abstract

Previous studies have shown that poorly designed human-automation collaboration, such as poorly designed communication protocols, often leads to problems for the human operators, such as: lack of vigilance, complacency, and loss of skills. These problems often lead to suboptimal system performance. To address this situation, a considerable amount of research has been conducted to improve human-automation collaboration and to make automation function better as a “team player.” Much of this research is based on an understanding of what it means to be a good team player from the perspective of a human team. However, the research is often based on a simplified view of human teams and teamwork. In this study, we sought to better understand the capabilities and limitations of automation from the standpoint of human teams. We first examined human teams to identify the principles for effective teamwork. We next reviewed the research on integrating automation agents and human agents into mixed agent teams to identify the limitations of automation agents to conform to teamwork principles. This research resulted in insights that can lead to more effective human-automation collaboration by enabling a more realistic set of requirements to be developed based on the strengths and limitations of allmore » agents.« less

Authors:
; ; ;
Publication Date:
Research Org.:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Org.:
DOE - NE
OSTI Identifier:
1149012
Report Number(s):
INL/CON-14-31340
DOE Contract Number:  
DE-AC07-05ID14517
Resource Type:
Conference
Resource Relation:
Conference: Probabilistic Safety Assessment & Management conference,Honolulu, HI, USA (Sheraton Waikiki),06/22/2014,06/27/2014
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS; Human Factors Issues with Automation; Human-Automation Teams; Team performance

Citation Formats

Joe, Jeffrey C., O'Hara, John, Medema, Heather D., and Oxstrand, Johanna H. Identifying Requirements for Effective Human-Automation Teamwork. United States: N. p., 2014. Web.
Joe, Jeffrey C., O'Hara, John, Medema, Heather D., & Oxstrand, Johanna H. Identifying Requirements for Effective Human-Automation Teamwork. United States.
Joe, Jeffrey C., O'Hara, John, Medema, Heather D., and Oxstrand, Johanna H. 2014. "Identifying Requirements for Effective Human-Automation Teamwork". United States. https://www.osti.gov/servlets/purl/1149012.
@article{osti_1149012,
title = {Identifying Requirements for Effective Human-Automation Teamwork},
author = {Joe, Jeffrey C. and O'Hara, John and Medema, Heather D. and Oxstrand, Johanna H.},
abstractNote = {Previous studies have shown that poorly designed human-automation collaboration, such as poorly designed communication protocols, often leads to problems for the human operators, such as: lack of vigilance, complacency, and loss of skills. These problems often lead to suboptimal system performance. To address this situation, a considerable amount of research has been conducted to improve human-automation collaboration and to make automation function better as a “team player.” Much of this research is based on an understanding of what it means to be a good team player from the perspective of a human team. However, the research is often based on a simplified view of human teams and teamwork. In this study, we sought to better understand the capabilities and limitations of automation from the standpoint of human teams. We first examined human teams to identify the principles for effective teamwork. We next reviewed the research on integrating automation agents and human agents into mixed agent teams to identify the limitations of automation agents to conform to teamwork principles. This research resulted in insights that can lead to more effective human-automation collaboration by enabling a more realistic set of requirements to be developed based on the strengths and limitations of all agents.},
doi = {},
url = {https://www.osti.gov/biblio/1149012}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jun 01 00:00:00 EDT 2014},
month = {Sun Jun 01 00:00:00 EDT 2014}
}

Conference:
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