HUMAN-COMPUTER PRODUCTIVITY MANAGEMENT SYSTEM AND METHOD
First Claim
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1. A computerized method for managing productivity in a human-computer environment, the method comprising:
- monitoring human-computer interactions on a plurality of computing devices;
logging human-computer interactions on the plurality of computing devices;
transmitting logged data, from the plurality of computing devices, to a data management server;
indexing and archiving human-computer interaction data in a database; and
calculating and displaying statistical information from the archived data
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Abstract
The invention is a human-computer productivity management system with both processes and data systems designed to monitor the interactions between humans and computer systems, log the interactions, securely transmit the data to a centralized server, archive the data, process the data into highly efficient database, analyze the data to calculate productivity metrics, distill the data into key business intelligence reports and control the use of the computer systems.
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Citations
20 Claims
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1. A computerized method for managing productivity in a human-computer environment, the method comprising:
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monitoring human-computer interactions on a plurality of computing devices; logging human-computer interactions on the plurality of computing devices; transmitting logged data, from the plurality of computing devices, to a data management server; indexing and archiving human-computer interaction data in a database; and
calculating and displaying statistical information from the archived data - View Dependent Claims (2, 3, 4, 5)
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6. A computerized method for managing productivity in a human-computer environment, the method comprising:
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monitoring human-computer interactions on a plurality of computing devices associated with an identified organization; logging human-computer interactions on the plurality of computing devices, wherein keystroke sequences are not logged such that recreating human work content from logged keystrokes is not possible; compressing logged data; encrypting logged data; transmitting logged data, from the plurality of computing devices, to a data management server; indexing and archiving human-computer interaction data in a database; correlating archived data with organizational structure data of the specified organization; and calculating and displaying statistical information, from the archived data, about the identified organization. - View Dependent Claims (7, 8)
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9. A computerized method for managing productivity in a human-computer environment, the method comprising:
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monitoring human-computer interactions on a plurality of computing devices associated with an identified organization; logging human-computer interactions on the plurality of computing devices, wherein keystroke sequences, passwords, and account numbers are not logged such that recreating human work content from logged keystrokes is not possible, and wherein human-computer interactions are logged without defining an event, keyword, or category or interaction to trigger monitoring and logging; compressing logged data;
encrypting logged data;transmitting logged data, from the plurality of computing devices, to a data management server; indexing and archiving human-computer interaction data in a relational database, wherein the relational database aggregates interaction data from the plurality of computing devices; correlating archived data with organizational structure data of the specified organization; analyzing logged data to derive quantitative measurements of productivity; and
displaying productivity measurements. - View Dependent Claims (10, 11, 12, 13)
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14. A computerized method for managing productivity in a human-computer environment, the method comprising:
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monitoring human-computer interactions on a plurality of computing devices associated with an identified organization; logging human-computer interactions on the plurality of computing devices, wherein keystroke sequences, passwords, and account numbers are not logged such that recreating human work content from logged keystrokes is not possible, and wherein human-computer interactions are logged without defining an event, keyword, or category or interaction to trigger monitoring and logging; compressing logged data; encrypting logged data; transmitting logged data, from the plurality of computing devices, to a data management server; indexing and archiving human-computer interaction data in a relational database, wherein the relational database aggregates interaction data from the plurality of computing devices; correlating archived data with organizational structure data of the specified organization; comparing computer device usage statistics to a baseline set of metrics to identify changes in productivity; and calculating and displaying productivity measurements. - View Dependent Claims (15, 16, 17, 18, 19)
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20. A computerized method for managing productivity in a human-computer environment, the method comprising:
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monitoring all human-computer interactions on a plurality of computing devices associated with an identified organization using a client software application; wherein human-computer interactions include keyboard activity, mouse activity, computer application activity, internet and web activity, electronic mail, communication activities, file access, and hardware level disk operations; logging human-computer interactions on the plurality of computing devices, wherein keystroke sequences, passwords, and account numbers are not logged such that recreating human work content from logged keystrokes is not possible, and wherein human-computer interactions are logged without defining an event, keyword, or category or interaction to trigger monitoring and logging; compressing logged data; encrypting logged data; transmitting logged data, from the plurality of computing devices, to a data management server; indexing and archiving human-computer interaction data in a relational database, wherein the relational database aggregates interaction data from the plurality of computing devices; correlating archived data with organizational structure data of the specified organization using an analytical database; analyzing logged data to derive quantitative measurements of productivity; and
displaying productivity measurements.
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Specification