Method and apparatus for adapting computer-based systems to end-user profiles

• US 7,849,115 B2
• Filed: 06/05/2007
• Issued: 12/07/2010
• Est. Priority Date: 10/26/2005
• Status: Expired due to Fees

• Current Assignee: Bruce Reiner
• Original Assignee: Bruce Reiner
• Inventors: Reiner, Bruce
• Primary Examiner(s): Wong, Don
• Assistant Examiner(s): Hwa, Shyue Jiunn
• Application Number:
  US11/806,924
• Publication Number:
  US 20070282912A1
• Time in Patent Office: 1,281 Days
• Field of Search: 707/912, 707/999.2, 707/104.1
• US Class Current: N/A
• CPC Class Codes: A61B 5/411 Detecting or monitoring allergy or intolerance reactions to an allergenic agent or substance
• CPC Class Codes: A61B 6/00 Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment instruments measuring radiation intensity for application in the field of nuclear medicine, e.g. in vivo counting, G01T1/161; apparatus for taking X-ray photographs G03B42/02
• CPC Class Codes: A61B 90/00 Instruments, implements or accessories specially adapted for surgery or diagnosis and not covered by any of the groups A61B1/00 - A61B50/00, e.g. for luxation treatment or for protecting wound edges protective face masks A41D13/11; surgeon's or patient's gowns or dresses A41D13/12; devices for carrying-off, for treatment of, or for carrying-over, body liquids A61M1/00
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 80/00 ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
• CPC Class Codes: Y10S 707/912 Applications of a database

Abstract

The present invention relates to a method of adapting computer programs to user profiles, including providing a user with a questionnaire to determine at least one of the user'"'"'s intelligence, personality, emotional state, computer experience, sensory skills, motor skills, education, and training; compiling a user profile based on data received from the questionnaire; modifying the computer programs used by the user based on the user'"'"'s profile; and storing the user profile and the computer program modifications in a database for future utilization by the user. The modification of the computer programs includes modifying at least one of a user interface, workstation tools, input device and navigation, image presentation, analysis of information presented, and reporting.

Claims

1. A method of adapting computer programs to user profiles, in a computerized application, comprising:

providing a user with a questionnaire to determine at least one of the user'"'"'s intelligence, personality, emotional state, computer experience, sensory skills, motor skills, education, and training;

determining a type of user profile based on information received from said questionnaire;

creating a test case for the user based upon user responses to said questionnaire;

receiving and storing user unique preferences received from the user in response to said test case, in a database, for future utilization by the user;

compiling a comprehensive user profile based on said user unique preferences, which is assigned specifically to the user;

tracking and storing all computer functions, tools and commands executed by the user, in said database, to create user and task-specific statistical patterns of utilization of said comprehensive user profile;

modifying said computer programs, user preferences, and comprehensive user profiles, based on results of said tracking step;

receiving affective measurements on said user to determine said emotional state of the user;

modifying said user profiles of said computer programs in response to said measurements; and

analyzing said information and said responses relative to groups of users to determine similarities in profiles of different groups of users.

2. The method according to claim 1, wherein said modification of said computer programs includes modifying at least one of a user interface, workstation tools, input device and navigation, image presentation, analysis of information presented, and reporting.

3. The method according to claim 1, further comprising:

tracking changes in the user'"'"'s utilization of the computer programs over time; and

re-modifying the computer programs in order to accommodate said changes.

4. The method according to claim 1, wherein said affective measurements are taken using biometrics input means.

5. The method according to claim 1, further comprising:

implementing templates in the adaptation of the computer programs, based on said profiles of said different groups of users.

6. The method according to claim 5, further comprising:

providing educational materials to said user during utilization of the computer programs.

7. The method according to claim 6, wherein the user'"'"'s workflow patterns are analyzed before and after use of said educational materials.

8. The method according to claim 5, wherein said templates are automated workflow templates.

9. The method according to claim 1, further comprising:

utilizing biometrics to identify and authenticate said user prior to said user'"'"'s utilization of the computer programs.

10. The method according to claim 1, further comprising:

performing an analysis of said database to create best practice templates for different user profile groups.

11. The method according to claim 1, wherein changes in the user'"'"'s workflow patterns predict changes in the user'"'"'s profile, and the user is notified of said changes.

12. The method according to claim 1, wherein changes in the user'"'"'s workflow patterns based on said affective measurements, institute a bi-directional feedback loop with the user, until one of said workflow patterns or affective measurements, returns to a predetermined setting.

13. The method according to claim 1, further comprising:

performing a statistical analysis of said database to determine efficient workflow patterns of the user, and providing said workflow patterns to the user for adaptation thereof by the user, during the computerized application.