COMPUTERIZED VISUAL BEHAVIOR ANALYSIS AND TRAINING METHOD

• US 20020128992A1
• Filed: 12/14/1998
• Published: 09/12/2002
• Est. Priority Date: 12/14/1998
• Status: Abandoned Application

• Current Assignee: Oliver Alabaster
• Original Assignee: Oliver Alabaster
• Inventors: ALABASTER, OLIVER
• Application Number:
  US09/211,392
• Publication Number:
  US 20020128992A1
• Time in Patent Office: Days
• US Class Current: 707/1
• CPC Class Codes: G09B 19/0092 Nutrition
• CPC Class Codes: G09B 5/00 Electrically-operated educational appliances working with questions and answers G09B7/00; simulators G09B9/00; advertising or displaying in general G09F
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets

Abstract

A computer database includes information enabling display on a screen of a plurality of objects, in successive groups, together with display of graphics associated with each group. The graphics enable a first user selection of one of the objects of each group and a second user selection related to the object selected by interaction with the screen display, using conventional mouse, touchscreen or other techniques. The user selections are stored in a storage medium so as to generate a database of user choice information from which a behavior analysis is performed. The user selections may comprise food choices and evaluation of enthusiasm, and frequency thereof, whereby a dietary behavior profile is produced. Diet training may then be coordinated by display of a meal and interactive adjustment of food items and portion sizes.

Claims

1. A method of computerized behavior analysis comprising the steps of:

providing a computer database including presentations of a plurality of objects, said presentations being displayable in successive groups, each group including a plurality of said presentations;

causing a computer to display successive said groups, together with display of graphics associated with each said group, said graphics enabling a first user selection of one of the presentations of each said group, and a second user selection related to the presentation selected;

causing said computer to cause recordation of each of said first and second selections in a storage medium so as to generate a database of user choice information; and

causing said computer to produce behavior analysis data based on the database of user choice information.

2. The method of claim 1 wherein said objects comprise photographs.

3. The method of claim 2 wherein said objects comprise graphics.

4. The method of claim 1 wherein said presentations comprise written descriptive material.

5. The method of claim 1 wherein each of said groups comprises presentation of a plurality of objects.

6. The method of claim 1 wherein there are n pairs of objects.

7. The method of claim 6 wherein said pairs of objects comprise pairs of platters of food.

8. The method of claim 7 wherein said first user selection comprises selection of one of said platters.

9. The method of claim 8 wherein said second user selection comprises an indication of level of enthusiasm for the selected platter.

10. The method of claim 8 wherein the second user selection comprises an indication of frequency of consumption of a displayed food item.

11. The method of claim 10 further including the step of conducting diet training based on said behavior analysis.

12. The method of claim 11 wherein said step of conducting diet training includes the steps of displaying a meal and providing interactive user adjustment of portion size.

13. The method of claim 12 wherein said step of conducting diet training comprises the steps of user selection of displayed food items to create a meal, and display of nutritional characteristics of the displayed meal.

14. The method of claim 13 further including the step of user adjustment of portion size of the created meal.

16. The method of claim 13 wherein said information comprises stored photographs of food objects.

17. The method of claim 14 wherein said information comprises graphic representation of food objects.

18. The method of claim 13 wherein said information comprises written descriptions of food objects.

19. The method of claim 13 wherein each of said groups comprises two food objects.

20. The method of claim 13 wherein n pairs of food objects are caused to be displayed.

21. The method of claim 18 wherein said pairs of food objects comprise pairs of platters of food.

22. The method of claim 19 wherein said first user selection comprises selection of one of said platters.

23. The method of claim 20 wherein said second user selection comprises an indication of level of enthusiasm for the selected platter.

24. The method of claim 20 wherein the second user selection comprises an indication of frequency of consumption of a displayed food item.

25. The method of claim 22 further including the step of conducting diet training based on said behavior analysis.

26. The method of claim 23 wherein said step of conducting diet training includes the steps of displaying a meal, and providing interactive user adjustment of portion size.

27. The method of claim 23 wherein said step of conducting diet training comprises the steps of user selection of displayed food items to create a meal, and display of nutritional characteristics of the displayed meal.

28. The method of claim 25 further including the step of user adjustment of portion size of the created meal.

15. A method of computerized diet behavior analysis comprising the steps of:

providing a computer database including information enabling display of a plurality of food objects, said food objects being displayable in successive groups, each group including a plurality of said food objects;

causing a computer to display successive said groups of food objects, together with display of graphics associated with each said group, said graphics enabling a first user selection of one of the food objects of each said group and a second user selection related to the food object selected;

causing said computer to cause recordation of each of said first and second selections in a storage medium so as to generate a database of user choice information; and

causing said computer to produce behavior analysis data based on the database of user choice information.