A review of human error research concluding that integrating AI and cognitive models into human reliability assessment can markedly improve predictive fidelity, but data scarcity and opacity remain barriers.
In: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, pp
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A Comprehensive Review of Human Error in Risk-Informed Decision Making: Integrating Human Reliability Assessment, Artificial Intelligence, and Human Performance Models
A review of human error research concluding that integrating AI and cognitive models into human reliability assessment can markedly improve predictive fidelity, but data scarcity and opacity remain barriers.