Using operator workload data to inform human reliability analyses

We describe an approach for using operator workload data to inform human reliability analyses (HRA). We demonstrate how data captured by the NASA TLX workload assessment method, or predicted with the VACP method employed in human performance modeling, can be used to support risk informed decision making. We show how TLX and VACP data can be linked into the ATHEANA and SPAR-H human reliability analysis methods. For ATHEANA, TLX and VACP data can easily be incorporated as an additional consideration in the analysis process. For a SPAR-H analysis, we provide guidance on how TLX and VACP workload data may influence the ratings for the performance shaping factors and their related error probability estimates.