Automated Crew Communication Assessment via Speech Recognition
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Solution Overview
Problem
Current automated training systems for aviation lack the ability to automatically assess crew communication, limiting their applicability to single-user training activities and restricting access to crewed training opportunities due to reliance on human instructors.
Innovation Solution
A computer-implemented method that receives textual representations of verbal communication from users relating to a physical environment, generates a communicated state of the environment, determines the actual state through measured characteristics, and automatically provides alerts when discrepancies exceed a threshold, enabling automated assessment and monitoring of crew communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human instructors conduct assessment of crew communication during training, then assessment quality can be maintained, but access to training is limited and subjectivity introduces errors
Solution Approach 1:
The patent replaces the human instructor's mechanical assessment process with an automated computer system that uses speech recognition and natural language processing to evaluate crew communication. The system automatically transcribes spoken communications, compares them against expected procedures, and generates assessments without human intervention, thereby eliminating subjectivity while maintaining assessment quality.
Solution Approach 2:
The training system performs self-assessment of crew communication performance through automated evaluation mechanisms. The system monitors communications during training sessions, compares them against predefined criteria, and generates its own assessment reports, freeing the system from requiring external human evaluators and enabling unlimited access to training opportunities.
2Productivity
If automated training systems are used without automatic assessment capability, then student engagement opportunities increase, but applicability to crewed training is limited
Solution Approach 1:
The patent implements automatic feedback mechanisms that continuously monitor crew communications during training sessions. The system provides real-time feedback by comparing actual communications against expected procedures and providing immediate assessment results, enabling automated training systems to handle crewed activities while maintaining high student engagement opportunities.
3Measurement precision
If human instructors manually assess crew communication, then detailed assessment is possible, but time consumption increases and productivity decreases
Solution Approach 1:
The patent substitutes manual human assessment with automated computer-based evaluation that processes communications at high speed. The system uses speech recognition to transcribe communications, natural language processing to analyze meaning, and automated comparison against expected procedures to generate detailed assessments instantly, maintaining measurement precision while dramatically increasing training throughput.
Data Source
AI summary
Techniques for monitoring of communication in a physical environment are disclosed. The techniques include receiving a textual representation based on verbal communication from one or more users relating to a physical environment. The techniques further include generating a communicated state of the physical environment based on the textual representation and determining an actual state of the physical environment based on one or more measured characteristics of the environment. The techniques further include automatically providing an alert to at least one of the one or more users, based on comparing the communicated state of the physical environment with the actual state of the physical environment.