A Cognitive Computing Based System for Human Factors Readiness Level Assessment in Manned Space Product Design

Human factors readiness level is a framework to define the level of readiness or maturity related to the availability and completeness of a given technology when used by humans. The existing human factors readiness level assessment methods are most rely on expert scoring and questionnaires, which are limited by more qualitative metrics but fewer quantitative metrics, as well as more subjective metrics evaluation but less objective metrics. In this paper we first propose an objective and quantitative metric with six human factors anchors and the scoring matrix for manned space products, along with a cognitive computing-based assessment system. In our system we use a formal method to efficiently and accurately understand and extract the human factors anchors in data packages of manned space products. Furthermore, we take advantage of cognitive reasoning models to predict human factors readiness level on the basic of history cases base and logic rules base. Two experiments are designed to compare the analysis performance of our system with that of manual evaluation, and the retrieval accuracy of our system with that of keyword based methods.