Hierarchical workload monitoring for optimal subordinate tasking
First Claim
1. A method for analyzing subordinate workload, comprising in combination:
- receiving data from at least one sensor that detects at least one physiological characteristic, at least one contextual characteristic, and at least one cognitive state of an individual;
selecting data that are relevant to a workload level of the individual;
normalizing the selected data to build workload indices;
comparing the workload indices with historical data to evaluate a current workload state of the individual; and
displaying the current workload state of the individual.
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Abstract
A system and method of hierarchical monitoring for subordinate assessment is described. Generally, the system receives remotely sensed data about a user'"'"'s physiology and contextual state, and extracts features that are related to the workload currently being experienced by a single subordinate and/or group of subordinates. The system builds workload indices based on levels of these features. The system uses statistical process control techniques in conjunction with the workload indices to identify suboptimal user states. Information regarding a particular subordinate or the group of subordinates may be presented in a variety of different ways. As a result, a superior can easily determine the condition of the one or more subordinates and make task adjustments to influence workload levels.
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Citations
18 Claims
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1. A method for analyzing subordinate workload, comprising in combination:
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receiving data from at least one sensor that detects at least one physiological characteristic, at least one contextual characteristic, and at least one cognitive state of an individual; selecting data that are relevant to a workload level of the individual; normalizing the selected data to build workload indices; comparing the workload indices with historical data to evaluate a current workload state of the individual; and displaying the current workload state of the individual. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A system for analyzing subordinate workload, comprising in combination:
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a processor; data storage; and machine language instructions stored in the data storage executable by the processor to; receive data from at least one sensor that detects at least one physiological characteristic, at least one contextual characteristic, and at least one cognitive state of an individual; extract features from the data that are relevant to a workload level of the individual; normalize the data of the extracted features to build workload indices; compare the workload indices to expected workload levels; and identify whether the workload level is within a predetermined range. - View Dependent Claims (12, 13, 14, 16, 17, 18)
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15. A system for analyzing subordinate workload, comprising in combination:
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data logging means operable to receive, store, and index data representative of at least one physical characteristic, at least one contextual characteristic, and at least one cognitive state of an individual; distribution means operable to select data from the indexed data relevant to a workload level of an individual and normalize the selected data; statistical process control means operable to calculate a mean and standard deviation associated with the normalized data; and display means operable to present the normalized data in a context to evaluate the workload level of the individual.
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Specification