Suhir, Ephraim (2021) When instrumentation and human performance contribute jointly to the outcome of a human-system-integration (HSI) mission: brief review. In: Lecture Notes in Networks and Systems (219) pp. 409-413. From: IEA 2021: 21st Congress of the International Ergonomics Association, 13-18 June 2021, Online.

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Abstract

The objective of this brief review is to demonstrate how analytical (“mathematical”) probabilistic predictive modeling (PPM) can be effectively employed to predict the outcome of a Human-System-Integration (HSI) mission or an extraordinary situation, when the reliability of an instrumentation (both its hard- and software) and human-in-the-loop (HITL) performance contribute jointly to the outcome of the mission or the situation. The general concepts are illustrated by numerical examples. It is concluded that analytical modeling should always be considered, in addition to computer simulations, in any HSI undertaking of importance: these two modeling techniques are based, as a rule, on different assumptions and employ different calculation procedures, and if the calculated data obtained using these two approaches are in agreement, then there is a good reason to believe that the obtained results are accurate and trustworthy.

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