HUMAN-COMPUTER PRODUCTIVITY MANAGEMENT SYSTEM AND METHOD

• US 20090222552A1
• Filed: 02/29/2008
• Published: 09/03/2009
• Est. Priority Date: 02/29/2008
• Status: Abandoned Application

• Current Assignee: Prodyx Productivity Management Corporation
• Original Assignee: Prodyx Productivity Management Corporation
• Inventors: Hedge, Alan, Chroscielewski, Mark Anthony
• Application Number:
  US12/040,854
• Publication Number:
  US 20090222552A1
• Time in Patent Office: Days
• US Class Current: 709/224
• CPC Class Codes: G06F 11/3414 Workload generation, e.g. scripts, playback
• CPC Class Codes: G06F 11/3438 monitoring of user actions tracking the activity of the user H04L67/535
• CPC Class Codes: G06F 11/3476 Data logging G06F11/14, G06F11/2205 take precedence
• CPC Class Codes: G06F 16/113 Details of archiving lifecycle management in storage systems G06F3/0649; backup systems G06F11/1446
• CPC Class Codes: G06F 21/316 by observing the pattern of computer usage, e.g. typical user behaviour
• CPC Class Codes: G06F 21/552 involving long-term monitoring or reporting
• CPC Class Codes: G06F 2221/2151 Time stamp
• CPC Class Codes: G06Q 10/0633 Workflow analysis
• CPC Class Codes: H04L 63/0428 wherein the data content is protected, e.g. by encrypting or encapsulating the payload

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.

Claims

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.

2. The method of claim 1, wherein human-computer interactions are logged without defining an event, keyword, or activity category to trigger logging.

3. The method of claim 1, wherein logged human-computer interactions include keystroke and mouse click statistics.

4. The method of claim 1, further comprising identifying changes in productivity and identifying a cost of the productivity change.

5. The method of claim 1, further comprising correlating archived data with data from external sources.

6. A computerized method for managing productivity in a human-computer environment, the method comprising:

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.

7. The method of claim 6, wherein the organizational structure data includes data associated with organizational charts, job descriptions, human resources information, and location information.

8. The method of claim 6, further comprising quantifying costs over time associated with organizational structure changes.

9. A computerized method for managing productivity in a human-computer environment, the method comprising:

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.

10. The method of claim 9, further comprising correlating archived data with external data sources.

11. The method of claim 9, further comprising identifying computing devices that have ceased to transmit data to the data management server.

12. The method of claim 9, further comprising automatically generating productivity measurements from the archived data.

13. The method of claim 9, further comprising disabling a computing device in response to user instructions.

14. A computerized method for managing productivity in a human-computer environment, the method comprising:

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.

15. The method of claim 14, further comprising correlating archived data with environmental data.

16. The method of claim 14, wherein productivity measurements include measuring user fatigue.

17. The method of claim 14, further comprising measuring an amount of paid internet advertising accessed by users of client computing devices.

18. The method of claim 14, further comprising automatically categorizing work and non-work workstream log entries.

19. The method of claim 14, automatically identifying and tracking locations from where workstream logs are transmitted;

20. A computerized method for managing productivity in a human-computer environment, the method comprising:

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.

21. The method of claim 20, wherein the client software application runs on at least WINDOWS, LINUX, and APPLE computer operating systems.

22. The method of claim 20, wherein the client software application is automatically updated.

23. The method of claim 20, wherein a SOAP-based communication client is used for compressing, encrypting and transmitting human-computer interaction data.