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 and at least one mental characteristic of an individual;
selecting data that are relevant to a workload level of the individual;
normalizing the selected data; and
displaying at least a portion of the normalized data in a manner that allows the workload level of the individual to be monitored.
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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
20 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 and at least one mental characteristic of an individual;
selecting data that are relevant to a workload level of the individual;
normalizing the selected data; and
displaying at least a portion of the normalized data in a manner that allows the workload level of the individual to be monitored. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. 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 and at least one mental characteristic of an individual;
extract features from the data that are relevant to a workload level of the individual;
build workload indices based on the extracted features;
compare the workload indices to expected workload levels; and
identify whether the workload level is within a predetermined range. - View Dependent Claims (14, 15, 16, 18, 19, 20)
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17. 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 and at least one mental characteristic 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