TY - GEN
T1 - Cognitive virtualization
T2 - Joint 8th IEEE HFPP Conference on Human Factor and Power Plants and 13th HPRCT Annual Workshop on Human Performance, Root Cause, Trending, Operating Experience, Self Assessment
AU - Tran, Tuan Q.
AU - Gertman, David I.
AU - Dudenhoeffer, Donald D.
AU - Boring, Ronald L.
AU - Mecham, Alan R.
PY - 2007
Y1 - 2007
N2 - 3D manikins are often used in visualizations to model human activity in complex settings. Manikins assist in developing understanding of the range, scope and timing of various human activities. They are applicable to a wide range of environments.. One such environment, the nuclear power plant control room, is a setting where manikins can be used to simulate more precise ergonomic assessments of human work stations. Next generation control rooms will pose numerous challenges for system designers. The manikin modeling approach by itself, however, is insufficient for dealing with the technical advancements and performance demands associated with proposed next generation control rooms. Uncertainty regarding effective staffing levels; and the potential for negative human performance consequences in the presence of advanced automated systems (e.g., reduced vigilance, poor situation awareness, mistrust or blind faith in automation, higher information load and increased complexity) call for further research. One approach to managing design uncertainty is through complementary analysis that merges ergonomic manikin models with models of higher cognitive functions, such as attention, memory, decision-making, and problem-solving. This paper will discuss recent advancements in merging a theoretical-driven cognitive modeling framework within a 3D visualization modeling tool to conduct next generation control room human factors and ergonomic assessments. Though this discussion primary focuses on control room design, merging 3D visualization and cognitive modeling can be extended to various areas of focus such as training and scenario planning.
AB - 3D manikins are often used in visualizations to model human activity in complex settings. Manikins assist in developing understanding of the range, scope and timing of various human activities. They are applicable to a wide range of environments.. One such environment, the nuclear power plant control room, is a setting where manikins can be used to simulate more precise ergonomic assessments of human work stations. Next generation control rooms will pose numerous challenges for system designers. The manikin modeling approach by itself, however, is insufficient for dealing with the technical advancements and performance demands associated with proposed next generation control rooms. Uncertainty regarding effective staffing levels; and the potential for negative human performance consequences in the presence of advanced automated systems (e.g., reduced vigilance, poor situation awareness, mistrust or blind faith in automation, higher information load and increased complexity) call for further research. One approach to managing design uncertainty is through complementary analysis that merges ergonomic manikin models with models of higher cognitive functions, such as attention, memory, decision-making, and problem-solving. This paper will discuss recent advancements in merging a theoretical-driven cognitive modeling framework within a 3D visualization modeling tool to conduct next generation control room human factors and ergonomic assessments. Though this discussion primary focuses on control room design, merging 3D visualization and cognitive modeling can be extended to various areas of focus such as training and scenario planning.
UR - http://www.scopus.com/inward/record.url?scp=49749099629&partnerID=8YFLogxK
U2 - 10.1109/HFPP.2007.4413205
DO - 10.1109/HFPP.2007.4413205
M3 - Conference contribution
AN - SCOPUS:49749099629
SN - 1424403065
SN - 9781424403066
T3 - IEEE Conference on Human Factors and Power Plants
SP - 195
EP - 200
BT - Joint 8th IEEE HFPP Conference on Human Factor and Power Plants and 13th HPRCT Annual Workshop on Human Performance, Root Cause, Trending, Operating Experience, Self Assessment
Y2 - 26 August 2007 through 31 August 2007
ER -