TY - GEN
T1 - Operator timing of task level primitives for use in computation-based human reliability analysis
AU - Ulrich, Thomas
AU - Boring, Ronald
AU - Ewing, Sarah
AU - Rasmussen, Martin
N1 - Publisher Copyright:
© Her Majesty the Queen in Right of United Kingdom 2018.
PY - 2018
Y1 - 2018
N2 - Computation-based human reliability analysis (CoBHRA) provides the opportunity for dynamic modeling of human actions and their impacts on the state of the nuclear power plant. Central to this dynamic HRA approach is a representation of the human operator comprised of actions and the time course over which those actions are performed. The success or failure of tasks is time dependent, and therefore modeling different times at which the operator completes actions helps predict how timing differences affect the human error potential for a given task. To model the operators’ timing variability, Goals, Operators, Methods, and Selection rules (GOMS) task level primitives were developed based on simulator logs of operators completing multiple scenarios. The logs have sufficient detail to determine the timing information for procedure steps and to map the procedure steps into the task level primitives. The task level primitives can then be applied to other procedures that were not evaluated, since they represent generic task level actions applicable to all procedure steps. With these generic task level primitives, untested scenarios can be dynamically modeled in CoBHRA, which expands the usefulness of the approach considerably. An example is provided of a station blackout scenario, which demonstrates how the operator timing of task level primitives can enhance our understanding of human error in nuclear process control.
AB - Computation-based human reliability analysis (CoBHRA) provides the opportunity for dynamic modeling of human actions and their impacts on the state of the nuclear power plant. Central to this dynamic HRA approach is a representation of the human operator comprised of actions and the time course over which those actions are performed. The success or failure of tasks is time dependent, and therefore modeling different times at which the operator completes actions helps predict how timing differences affect the human error potential for a given task. To model the operators’ timing variability, Goals, Operators, Methods, and Selection rules (GOMS) task level primitives were developed based on simulator logs of operators completing multiple scenarios. The logs have sufficient detail to determine the timing information for procedure steps and to map the procedure steps into the task level primitives. The task level primitives can then be applied to other procedures that were not evaluated, since they represent generic task level actions applicable to all procedure steps. With these generic task level primitives, untested scenarios can be dynamically modeled in CoBHRA, which expands the usefulness of the approach considerably. An example is provided of a station blackout scenario, which demonstrates how the operator timing of task level primitives can enhance our understanding of human error in nuclear process control.
KW - Computation-based human reliability analysis
KW - GOMS-HRA
KW - Human error
KW - Human reliability analysis
KW - Station blackout
UR - https://www.scopus.com/pages/publications/85023167771
U2 - 10.1007/978-3-319-60645-3_5
DO - 10.1007/978-3-319-60645-3_5
M3 - Conference contribution
AN - SCOPUS:85023167771
SN - 9783319606446
T3 - Advances in Intelligent Systems and Computing
SP - 41
EP - 49
BT - Advances in Human Error, Reliability, Resilience, and Performance - Proceedings of the AHFE 2017 International Conference on Human Error, Reliability, Resilience, and Performance, 2017
A2 - Boring, Ronald Laurids
PB - Springer Verlag
T2 - AHFE 2017 International Conference on Human Error, Reliability, Resilience, and Performance, 2017
Y2 - 17 July 2017 through 21 July 2017
ER -