Template development based on sensor originated reported aspects

1. A computationally-implemented system, comprising:

means for providing one or more reported aspects associated with one or more source users that were originally reported by one or more sensors; and

means for developing one or more templates designed to facilitate one or more end users to achieve one or more target outcomes when one or more emulatable aspects indicated by the one or more templates are emulated, the development of the one or more templates being based at least on a portion of the one or more reported aspects, wherein said means for developing one or more templates designed to facilitate one or more end users to achieve one or more target outcomes when one or more emulatable aspects indicated by the one or more templates are emulated, the development of the one or more templates being based at least on a portion of the one or more reported aspects, comprises:

means for including into each of the one or more templates one or more emulatable aspects that correspond to at least the portion of the one or more reported aspects, wherein said means for including into each of the one or more templates one or more emulatable aspects that correspond to at least the portion of the one or more reported aspects, comprises:

means for determining whether at least one of the one or more emulatable aspects to be included in the one or more templates is a plausible aspect that has been successfully emulated by one or more third parties, and if not plausible, execute one or more actions.

2. The computationally-implemented system of claim 1 , wherein said means for determining whether at least one of the one or more emulatable aspects to be included in the one or more templates is a plausible aspect that has been successfully emulated by one or more third parties, and if not plausible, execute one or more actions, comprises:

means for notifying, in response to determining that the at least one of the one or more emulatable aspects to be included in the one or more templates is not a plausible aspect, at least one of an end user, a source user, or a third party regarding the determination that at least one of the one or more emulatable aspects to be included in the one or more templates is not a plausible aspect.

3. The computationally-implemented system of claim 1 , wherein said means for determining whether at least one of the one or more emulatable aspects to be included in the one or more templates is a plausible aspect that has been successfully emulated by one or more third parties, and if not plausible, execute one or more actions, comprises:

means for modifying, in response to determining that the at least one of the one or more emulatable aspects is not a plausible aspect, at least one of the one or more templates by revising the at least one of the one or more emulatable aspects determined to be not a plausible aspect or by replacing the at least one of the one or more emulatable aspects determined to be not a plausible aspect with at least one replacement emulatable aspect that is a plausible aspect that has been successfully emulated by one or more third parties.

4. The computationally-implemented system of claim 1 , wherein said means for determining whether at least one of the one or more emulatable aspects to be included in the one or more templates is a plausible aspect that has been successfully emulated by one or more third parties, and if not plausible, execute one or more actions, comprises:

means for determining whether at least one of the one or more emulatable aspects to be included in the one or more templates is a plausible aspect that has been successfully emulated by the one or more third parties in order to achieve at least one of the one or more target outcomes, and if not plausible, execute the one or more actions.

5. The computationally-implemented system of claim 1 , wherein said means for developing one or more templates designed to facilitate one or more end users to achieve one or more target outcomes when one or more emulatable aspects indicated by the one or more templates are emulated, the development of the one or more templates being based at least on a portion of the one or more reported aspects, comprises:

means for identifying from the one or more reported aspects one or more relevant reported aspects that were originally reported by the one or more sensors and that are relevant with respect to achieving the one or more target outcomes.

6. The computationally-implemented system of claim 5 , wherein said means for identifying from the one or more reported aspects one or more relevant reported aspects that were originally reported by the one or more sensors and that are relevant with respect to achieving the one or more target outcomes, comprises:

means for identifying from the one or more reported aspects the one or more relevant reported aspects by identifying one or more reported aspects that were originally reported by the one or more sensors and that are associated with one or more source users who have achieved the one or more target outcomes.

7. The computationally-implemented system of claim 6 , wherein said means for identifying from the one or more reported aspects the one or more relevant reported aspects by identifying one or more reported aspects that were originally reported by the one or more sensors and that are associated with one or more source users who have achieved the one or more target outcomes, comprises:

means for identifying from the one or more reported aspects the one or more relevant reported aspects by identifying one or more reported aspects that were originally reported by the one or more sensors and that are relevant with respect to one or more relevancy factors.

8. The computationally-implemented system of claim 7 , wherein said means for identifying from the one or more reported aspects the one or more relevant reported aspects by identifying one or more reported aspects that were originally reported by the one or more sensors and that are relevant with respect to one or more relevancy factors, comprises:

means for identifying from the one or more reported aspects the one or more relevant reported aspects by identifying one or more reported aspects that were originally reported by the one or more sensors and that indicate one or more aspects that belong to one or more aspect types that are of interest to the one or more end users.

9. The computationally-implemented system of claim 7 , wherein said means for identifying from the one or more reported aspects the one or more relevant reported aspects by identifying one or more reported aspects that were originally reported by the one or more sensors and that are relevant with respect to one or more relevancy factors, comprises:

means for identifying from the one or more reported aspects the one or more relevant reported aspects by identifying one or more reported aspects that were originally reported by the one or more sensors and that indicate one or more aspects that belong to one or more aspect types that have been indicated by at least one source user as being relevant to the achievement of the one or more target outcomes.

10. The computationally-implemented system of claim 7 , wherein said means for identifying from the one or more reported aspects the one or more relevant reported aspects by identifying one or more reported aspects that were originally reported by the one or more sensors and that are relevant with respect to one or more relevancy factors, comprises:

means for identifying from the one or more reported aspects the one or more relevant reported aspects by identifying one or more reported aspects that were originally reported by the one or more sensors and that indicate one or more aspects that occurred within one or more predefined time increments, respectively, from one or more achievements of the one or more target outcomes by the one or more source users who have achieved the one or more target outcomes.

11. The computationally-implemented system of claim 1 , further comprising:

means for presenting the one or more templates.

12. The computationally-implemented system of claim 1 , wherein said means for providing one or more reported aspects associated with one or more source users that were originally reported by one or more sensors, comprises:

means for providing the one or more reported aspects that were originally reported by the one or more sensors including one or more reported aspects that indicate one or more behavior incidences associated with the one or more source users.

13. The computationally-implemented system of claim 12 , wherein said means for providing the one or more reported aspects that were originally reported by the one or more sensors including one or more reported aspects that indicate one or more behavior incidences associated with the one or more source users, comprises:

means for providing the one or more reported aspects that were originally reported by the one or more sensors including one or more reported aspects that indicate one or more incidences of activities executed by the one or more source users.

14. The computationally-implemented system of claim 12 , wherein said means for providing the one or more reported aspects that were originally reported by the one or more sensors including one or more reported aspects that indicate one or more behavior incidences associated with the one or more source users, comprises:

means for providing the one or more reported aspects that were originally reported by the one or more sensors including one or more reported aspects that indicate one or more user attitudes or conduct associated with the one or more source users.

15. The computationally-implemented system of claim 1 , wherein said means for providing one or more reported aspects associated with one or more source users that were originally reported by one or more sensors, comprises:

means for providing the one or more reported aspects that were originally reported by the one or more sensors including one or more reported aspects that indicate one or more incidences of one or more mental states associated with the one or more source users.

16. The computationally-implemented system of claim 1 , wherein said means for providing one or more reported aspects associated with one or more source users that were originally reported by one or more sensors, comprises:

means for providing the one or more reported aspects that were originally reported by the one or more sensors including one or more reported aspects that indicate one or more incidences of one or more user physical characteristics associated with the one or more source users.

17. The computationally-implemented system of claim 16 , wherein said means for providing the one or more reported aspects that were originally reported by the one or more sensors including one or more reported aspects that indicate one or more incidences of one or more user physical characteristics associated with the one or more source users, comprises:

means for providing the one or more reported aspects that were originally reported by the one or more sensors including one or more reported aspects that indicate one or more incidences of one or more user physiological characteristics associated with the one or more source users.

18. The computationally-implemented system of claim 1 , wherein said means for providing one or more reported aspects associated with one or more source users that were originally reported by one or more sensors, comprises:

means for providing the one or more reported aspects that were originally reported by the one or more sensors including one or more reported aspects that indicate one or more incidences of one or more user locations associated with the one or more source users.

19. The computationally-implemented system of claim 1 , wherein said means for providing one or more reported aspects associated with one or more source users that were originally reported by one or more sensors, comprises:

means for providing the one or more reported aspects that were originally reported by the one or more sensors including one or more reported aspects that indicate one or more incidences of one or more external events associated with the one or more source users.

20. The computationally-implemented system of claim 1 , wherein said means for providing one or more reported aspects associated with one or more source users that were originally reported by one or more sensors, comprises:

means for providing the one or more reported aspects by selectively acquiring one or more relevant reported aspects that were originally reported by the one or more sensors and that are relevant with respect to achieving the one or more target outcomes.

21. The computationally-implemented system of claim 20 , wherein said means for providing the one or more reported aspects by selectively acquiring one or more relevant reported aspects that were originally reported by the one or more sensors and that are relevant with respect to achieving the one or more target outcomes, comprises:

means for acquiring the one or more relevant reported aspects by selectively acquiring one or more reported aspects that were originally reported by the one or more sensors and that are associated with one or more source users who have achieved the one or more target outcomes.

22. The computationally-implemented system of claim 20 , wherein said means for providing the one or more reported aspects by selectively acquiring one or more relevant reported aspects that were originally reported by the one or more sensors and that are relevant with respect to achieving the one or more target outcomes, comprises:

means for acquiring the one or more relevant reported aspects by selectively acquiring one or more reported aspects that were originally reported by the one or more sensors and that are relevant with respect to one or more relevancy factors.

23. The computationally-implemented system of claim 22 , wherein said means for acquiring the one or more relevant reported aspects by selectively acquiring one or more reported aspects that were originally reported by the one or more sensors and that are relevant with respect to one or more relevancy factors, comprises:

means for acquiring the one or more relevant reported aspects by selectively acquiring one or more reported aspects that were originally reported by the one or more sensors and that indicate one or more aspects that belong to one or more aspect types that are of interest to the one or more end users.

24. The computationally-implemented system of claim 22 , wherein said means for acquiring the one or more relevant reported aspects by selectively acquiring one or more reported aspects that were originally reported by the one or more sensors and that are relevant with respect to one or more relevancy factors, comprises:

means for acquiring the one or more relevant reported aspects by selectively acquiring one or more reported aspects that were originally reported by the one or more sensors and that indicate one or more aspects that belong to one or more aspect types that have been indicated by at least one source user as being relevant to the achievement of the one or more target outcomes.

25. The computationally-implemented system of claim 22 , wherein said means for acquiring the one or more relevant reported aspects by selectively acquiring one or more reported aspects that were originally reported by the one or more sensors and that are relevant with respect to one or more relevancy factors, comprises:

means for acquiring the one or more relevant reported aspects by selectively acquiring one or more reported aspects that were originally reported by the one or more sensors and that indicate one or more aspects that occurred within one or more predefined time increments, respectively, from one or more achievements of the one or more target outcomes by the one or more source users who have achieved the one or more target outcomes.

26. The computationally-implemented system of claim 1 , wherein said means for providing one or more reported aspects associated with one or more source users that were originally reported by one or more sensors, comprises:

means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by one or more sensors designed to sense one or more behavior aspects associated with the one or more source users.

27. The computationally-implemented system of claim 26 , wherein said means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by one or more sensors designed to sense one or more behavior aspects associated with the one or more source users, comprises:

means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by the one or more sensors including one or more pedometers.

28. The computationally-implemented system of claim 26 , wherein said means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by one or more sensors designed to sense one or more behavior aspects associated with the one or more source users, comprises:

means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by the one or more sensors including one or more accelerometers.

29. The computationally-implemented system of claim 26 , wherein said means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by one or more sensors designed to sense one or more behavior aspects associated with the one or more source users, comprises:

means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by the one or more sensors including one or more sensors designed to sense usage of one or more exercise equipment.

30. The computationally-implemented system of claim 26 , wherein said means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by one or more sensors designed to sense one or more behavior aspects associated with the one or more source users, comprises:

means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by the one or more sensors including one or more sensors designed to sense usage of one or more transportation vehicles.

31. The computationally-implemented system of claim 26 , wherein said means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by one or more sensors designed to sense one or more behavior aspects associated with the one or more source users, comprises:

means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by the one or more sensors including one or more sensors designed to sense usage of one or more household appliances.

32. The computationally-implemented system of claim 26 , wherein said means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by one or more sensors designed to sense one or more behavior aspects associated with the one or more source users, comprises:

means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by the one or more sensors including one or more sensors designed to sense toilet usage.

33. The computationally-implemented system of claim 1 , wherein said means for providing one or more reported aspects associated with one or more source users that were originally reported by one or more sensors, comprises:

means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by the one or more sensors including one or more global positioning systems (GPSs).

34. The computationally-implemented system of claim 1 , wherein said means for providing one or more reported aspects associated with one or more source users that were originally reported by one or more sensors, comprises:

means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by the one or more sensors including one or more sensors designed to sense one or more environmental conditions.

35. The computationally-implemented system of claim 34 , wherein said means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by the one or more sensors including one or more sensors designed to sense one or more environmental conditions, comprises:

means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by the one or more sensors including one or more sensors designed to sense water quality.

36. The computationally-implemented system of claim 34 , wherein said means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by the one or more sensors including one or more sensors designed to sense one or more environmental conditions, comprises:

means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by the one or more sensors including one or more sensors designed to sense air quality.

37. The computationally-implemented system of claim 34 , wherein said means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by the one or more sensors including one or more sensors designed to sense one or more environmental conditions, comprises:

means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by the one or more sensors including one or more sensors designed to sense one or more atmospheric conditions.

38. The computationally-implemented system of claim 37 , wherein said means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by the one or more sensors including one or more sensors designed to sense atmospheric conditions, comprises:

means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by the one or more sensors including at least one of a barometer, a thermometer, or a humidity sensor.

39. The computationally-implemented system of claim 1 , wherein said means for providing one or more reported aspects associated with one or more source users that were originally reported by one or more sensors, comprises:

means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by the one or more sensors including one or more sensors designed to sense one or more physiological characteristics used to determine one or more mental states.

40. The computationally-implemented system of claim 1 , wherein said means for providing one or more reported aspects associated with one or more source users that were originally reported by one or more sensors, comprises:

means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by the one or more sensors and via one or more social networking entries.

41. The computationally-implemented system of claim 40 , wherein said means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by the one or more sensors and via one or more social networking entries, comprises:

means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by the one or more sensors via one or more blog entries.

42. The computationally-implemented system of claim 40 , wherein said means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by the one or more sensors and via one or more social networking entries, comprises:

means for providing one or more reported aspects associated with the one or more source users that were at least originally reported by the one or more sensors via one or more status reports.

43. A method for developing one or more personalized plans, comprising:

providing one or more reported aspects associated with one or more source users that were originally reported by one or more sensors; and

developing, using one or more processors, one or more templates designed to facilitate one or more end users to achieve one or more target outcomes when one or more emulatable aspects indicated by the one or more templates are emulated, the development of the one or more templates being based at least on a portion of the one or more reported aspects, wherein said developing, using one or more processors, one or more templates designed to facilitate one or more end users to achieve one or more target outcomes when one or more emulatable aspects indicated by the one or more templates are emulated, the development of the one or more templates being based at least on a portion of the one or more reported aspects comprises:

including into each of the one or more templates, using the one or more processors, one or more emulatable aspects that correspond to at least the portion of the one or more reported aspects, wherein said including into each of the one or more templates, using the one or more processors, one or more emulatable aspects that correspond to at least the portion of the one or more reported aspects, comprises:

determining, using the one or more processors, whether at least one of the one or more emulatable aspects to be included in the one or more templates is a plausible aspect that has been successfully emulated by one or more third parties, and if not plausible, execute one or more actions.