Predictive Operator Behavior Analysis Using Cognitive Models
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Solution Overview
Problem
Current technologies fail to accurately predict the behavior of operators interacting with complex systems, such as aircraft pilots, due to insufficient consideration of contextual data and cognitive state trends, leading to incomplete behavior anticipation.
Innovation Solution
A device and method that utilize a predictive engine combining procedural and cognitive models, incorporating interaction data, physiological data, and contextual information to anticipate operator behavior, leveraging AI and a Knowledge Base of Operator Behavior to generate probabilistic predictions of future actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing prediction devices are used to anticipate operator behavior, then some behavioral aspects can be evaluated, but complete behavior prediction is not achieved due to insufficient consideration of contextual data and cognitive state trends
Solution Approach 1:
The patent combines multiple data sources including interaction data, physiological data, and contextual information into a unified predictive analysis system. This merging of previously separate evaluation streams enables comprehensive behavior prediction by integrating procedural and cognitive factors that were previously analyzed in isolation.
Solution Approach 2:
The patent introduces a predictive analysis device as an intermediary system that processes raw data from multiple sensors and sources, transforming them into meaningful behavioral predictions. This intermediary device bridges the gap between raw data collection and actionable behavior anticipation, particularly for cognitive states that cannot be directly observed.
2Reliability
If multiple data sources are collected to improve behavior prediction, then prediction completeness increases, but system complexity increases
Solution Approach 1:
The patent segments the prediction system into distinct functional modules: data collection from multiple sources, predictive analysis processing, and result generation. This segmentation allows each component to be optimized independently while maintaining overall system reliability, managing complexity through structured modularity.
Solution Approach 2:
The predictive analysis device is designed as a multi-functional system that simultaneously processes interaction data, physiological data, and contextual information. This universal device performs multiple functions (data aggregation, analysis, prediction) that would otherwise require separate systems, thereby improving reliability without proportionally increasing complexity.
Data Source
AI summary
A device and a method implemented by computer, allowing the behavior and the actions of an operator interacting with a complex system to be predicted, based on the observation of his/her behavior in real time and on the instantiation of models of human behavior which are constructed by learning from past data collected for a plurality of operators, the models of human behavior having been learnt by the application of artificial intelligence techniques to cognitive models and to procedural models taking into account parameters of human factors of influence.