User Feedback System and Method

Abstract

The present invention relates to a user feedback system and method for users of delivery devices. [Solution] A user feedback system for a user of a delivery device in a delivery ecosystem comprises: an acquisition processor configured to acquire one or more user factors indicating the state of the user, wherein the one or more user factors are based on at least a first aspect of the user's state separate from the handling or operation of the delivery device; and an estimation processor configured to identify a corresponding feedback action that is expected to change the state of the user as indicated by the or each of the user factors.

Claims

1. A user feedback system for users of delivery devices within a delivery ecosystem, An acquisition processor configured to acquire one or more user factors indicating the state of the user, wherein the one or more user factors are based on at least a first aspect of the user's state, separate from the handling or operation of the delivery device, An estimation processor configured to identify corresponding feedback actions that are expected to change the user's state as indicated by the above or each of the user factors, A user feedback system equipped with [specific features / features].

2. The user feedback system according to claim 1, further comprising a feedback processor configured to select at least a first feedback operation identified by the estimation processor for at least a first device in the delivery ecosystem.

3. The user feedback system according to claim 2, wherein the feedback processor is configured to cause the operation of at least one or more first devices in the delivery ecosystem to be modified according to the above or each selected feedback operation.

4. The user feedback system according to claim 3, wherein the device in the delivery ecosystem in which one or more operations are modified is the delivery device.

5. The user feedback system according to any one of claims 1 to 4, wherein data relating to at least a first aspect of the user's situation based on at least a first user factor among the user factors is acquired by a physical sensor.

6. The aforementioned physical sensor is a microphone, and the acquired data is i. Background noise level and, ii. Background media playback and iii. The user's utterance and, The user feedback system according to claim 5, relating to one or more selected from a list consisting of the following.

7. The aforementioned physical sensor is a camera, and the acquired data is i. Whether the user is alone or not, ii. Whether the user is with one or more known individuals, iii. The user's facial expression and, A user feedback system according to claim 5 or 6, relating to one or more selected from a list consisting of the following.

8. The user feedback system according to any one of claims 1 to 7, wherein data relating to at least a first aspect of the user's situation based on at least a first user factor among the user factors is obtained by text analysis of content with which the user interacts.

9. The aforementioned content, i. Social media posts that the user is reading or posting, ii. The news article the aforementioned user is reading, iii. The website that the aforementioned user is visiting, iv. The online searches performed by the aforementioned user, v. The test message that the user is reading or sending, vi. The content of the call in which the aforementioned user is participating, vii. The content of the conversation the aforementioned user is having, The user feedback system according to claim 8, comprising one or more selected from a list consisting of the following.

10. The user feedback system according to claim 8, wherein the content includes the user's calendar information.

11. The aforementioned calendar information, i. The person the user is currently meeting or is planning to meet, ii. The event that the user is currently participating in or intends to participate in, iii. The location the user is currently visiting or intends to visit, iv. The task that the user is currently performing or is about to perform, The user feedback system according to claim 10, which indicates one or more selected from a list consisting of the following.

12. The user feedback system according to claim 8, wherein the content includes one or more user responses to a questionnaire regarding the user's condition.

13. The user feedback system according to any one of claims 1 to 12, wherein data relating to at least a first aspect of the user's situation, based on at least a first user factor among the user factors, is obtained through the user's interaction with devices in the delivery ecosystem other than the delivery device.

14. The aforementioned user interaction i. Selection of the application to be used by the user, ii. Selection of the device with which the user interacts, iii. The duration of interaction with the selected application or device by the user, iv. The type of interaction with the selected application or device by the user, v. The type of media consumed by the selected app or device, The user feedback system according to claim 13, comprising one or more selected from a list consisting of the following.

15. A user feedback system according to any one of claims 1 to 14, wherein data relating to at least a first aspect of the user's situation based on at least a first user factor among the user factors is obtained from data indicating the user's environment.

16. The data representing the user's environment is i. The user's current or next location, ii. Whether the user is in an open space or an enclosed space, iii. Whether the user is exposed to sunlight or artificial light, iv. The user's current mode of movement and v. The weather at the user's location and A user feedback system according to claim 15, based on one or more selected from a list consisting of the following.

17. A user feedback system according to any one of claims 1 to 16, wherein data relating to at least a first aspect of the user's situation based on at least a first user factor among the user factors is obtained from data indicating the user's social situation.

18. The data indicating the social circumstances of the aforementioned user is i. Whether the user is alone or with one or more other people, ii. Whether the user is with one or more colleagues, iii. Whether the user is with one or more friends, iv. Whether the user is with one or more family members, v. Whether the user is with one or more children, A user feedback system according to claim 17, based on one or more selected from a list consisting of the following.

19. A user feedback system according to any one of claims 1 to 18, wherein data relating to at least a first aspect of the user's situation based on at least a first user factor among the user factors is obtained from data indicating the user's past.

20. The data representing the user's past is i. The user's place of birth and ii. The cultural background of the aforementioned user, iii. The religion of the aforementioned user, iv. The user's purchase history and v. The user's setting preferences for one or more devices in the delivery ecosystem, A user feedback system according to claim 19, based on one or more selected from a list consisting of the following.

21. The user feedback system according to any one of claims 1 to 20, wherein the estimation processor is operable to use a plurality of user factors as input when identifying a corresponding feedback operation.

22. At least another user factor, i. User factors based on self-reported indicators of user status from the user, ii. User factors based on physiological sensor data from the user, iii. User factors based on motion and / or positional analysis, A user feedback system according to claim 21, selected from a list comprising:

23. The user feedback system according to claim 21 or 22, wherein at least another user factor is based on sensor data from the delivery device.

24. The user feedback system according to any one of claims 1 to 23, wherein the estimation processor does not generate an explicit estimation of the user state as a preliminary step in identifying the one or more proposed feedback actions.

25. The user feedback system according to any one of claims 1 to 24, wherein the estimation processor uses different machine learning systems in response to the configuration of one or more user factors provided as input to the estimation processor.

26. The aforementioned estimated processor i. Behavioral feedback actions that affect at least the first behavior of the user, ii. Drug feedback behavior that affects the consumption of the active ingredient by the user, iii. Non-consumable feedback operations that affect one or more non-consumable operations of the delivery ecosystem, A user feedback system according to any one of claims 1 to 25, operable to generate one or more suggested feedback actions relating to one or more selected from a list consisting of

27. The aforementioned delivery ecosystem i. One or more delivery devices, ii. One or more mobile devices, iii. One or more wearable devices, iv. One or more docking units for the above or each of the delivery devices, A user feedback system according to any one of claims 1 to 26, comprising one or more selected from a list consisting of the following.

28. The user feedback system according to any one of claims 1 to 27, wherein at least a portion of the functions of one or more of the acquisition processor, estimation processor, and feedback processor is provided by one or more processors or remote servers located within one or more devices of the delivery ecosystem.

29. A method for providing user feedback to users of delivery devices within a delivery ecosystem, An acquisition step of acquiring one or more user factors indicating the state of the user, wherein the one or more user factors are based on at least a first aspect of the user's state, separate from the handling or operation of the delivery device. An estimation step of identifying a corresponding feedback action that is expected to change the user's state, as at least partially indicated by the user factor, A user feedback method that includes this.

30. The user feedback method according to claim 29, further comprising the step of selecting at least a first feedback action identified in the estimation step for at least a first device in the delivery ecosystem.

31. The user feedback method according to claim 30, comprising the step of causing the operation of at least one or more first devices in the delivery ecosystem to be modified in accordance with the selected feedback operation.

32. The user feedback method according to claim 31, wherein the device in the delivery ecosystem in which one or more operations are modified is the delivery device.

33. The user feedback method according to any one of claims 29 to 32, wherein data relating to at least a first aspect of the user's situation based on at least a first user factor among the user factors is acquired by at least a first physical sensor.

34. The user feedback method according to any one of claims 29 to 33, wherein data relating to at least a first aspect of the user's situation based on at least a first user factor among the user factors is obtained by text analysis of content in which the user interacted.

35. The user feedback method according to claim 34, wherein the content includes the user's calendar information.

36. The user feedback method according to claim 34, wherein the content includes one or more user responses to a questionnaire regarding the user's condition.

37. The user feedback method according to any one of claims 29 to 36, wherein data relating to at least a first aspect of the user's situation, based on at least a first user factor among the user factors, is obtained through the user's interaction with devices in the delivery ecosystem other than the delivery device.

38. The user feedback method according to any one of claims 29 to 37, wherein data relating to at least a first aspect of the user's situation based on at least a first user factor among the user factors is obtained from data indicating the user's environment.

39. The user feedback method according to any one of claims 29 to 38, wherein data relating to at least a first aspect of the user's situation based on at least a first user factor among the user factors is obtained from data indicating the user's social situation.

40. The user feedback method according to any one of claims 29 to 39, wherein data relating to at least a first aspect of the user's situation based on at least a first user factor among the user factors is obtained from data indicating the user's past.

41. The user feedback method according to any one of claims 29 to 40, wherein the estimation step includes using a plurality of user factors as input when identifying a corresponding feedback action.

42. At least another user factor, i. User factors based on self-reported indicators of user status from the user, ii. User factors based on physiological sensor data from the user, iii. User factors based on motion and / or positional analysis, A user feedback method according to claim 41, selected from a list consisting of the following.

43. The user feedback method according to claim 41 or 42, wherein at least another user factor is based on sensor data from the delivery device.

44. The estimation step described above is i. Behavioral feedback actions that affect at least the first behavior of the user, ii. Drug feedback behavior that affects the consumption of the active ingredient by the user, iii. Non-consumable feedback operations that affect one or more non-consumable operations of the delivery ecosystem, A user feedback method according to any one of claims 29 to 43, comprising generating one or more suggested feedback actions relating to one or more selected from a list consisting of the following.

45. A computer program comprising a computer executable instruction configured to cause a computer system to perform the method described in any one of claims 29 to 44.

46. A computer program product comprising the computer program according to claim 45, stored in a non-temporary machine-readable medium.

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