Physical Object Training Feedback Based On Object-Collected Usage Data

• US 20170076618A1
• Filed: 09/14/2015
• Published: 03/16/2017
• Est. Priority Date: 09/14/2015
• Status: Abandoned Application

• Current Assignee: Adobe Inc.
• Original Assignee: Adobe Systems Incorporated (Adobe Inc.)
• Inventors: Smith, Kevin Gary, George, William Brandon
• Application Number:
  US14/853,661
• Publication Number:
  US 20170076618A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G09B 5/02 with visual presentation of the material to be studied, e.g. using film strip
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Abstract

User interactions with a physical object are monitored via one or more sensors integrated with the physical object. The sensors collect usage data for the physical object, based on the user interactions. Analyzed usage data is generated from the usage data collected via the sensors in the physical object as well as from usage data for the physical object that is collected by sensors integrated with one or more additional physical objects that are connected to the physical object by a network. Training feedback, based on the analyzed usage data, is then presented to the user in real-time.

Claims

1. A method implemented in a physical object, the method comprising:

monitoring user interactions with the physical object via one or more sensors integrated with the physical object;

collecting, via the one or more sensors and in response to the user interactions, usage data for the physical object;

obtaining analyzed usage data for the physical object, the analyzed usage data generated by analyzing the usage data collected via the one or more sensors as well as usage data for the physical object collected by one or more sensors integrated with one or more additional physical objects communicatively coupled to the physical object via a network; and

presenting, by the physical object in real-time during use of the physical object, training feedback generated based on the analyzed usage data.

2. The method of claim 1, further comprising evaluating the analyzed usage data by comparing the analyzed usage data for the physical object with benchmark data.

3. The method of claim 2, the benchmark data comprising aggregated analyzed usage data collected from multiple different users.

4. The method of claim 1, the usage data having been collected during the user interactions with the physical object.

5. The method of claim 1, further comprising analyzing the usage data during the user interactions with the physical object.

6. The method of claim 5, the presenting the training feedback comprising presenting the training feedback during the user interactions with the physical object.

7. The method of claim 1, further comprising analyzing the usage data after the user interactions with the physical object have stopped.

8. The method of claim 1, the presenting the training feedback comprising presenting the training feedback after the user interactions with the physical object have stopped.

9. The method of claim 1, the analyzing of the usage data being performed by the physical object.

10. A device comprising:

one or more sensors integrated with the device, the one or more sensors configured to monitor user interactions with the device and, in response to the user interactions, collect usage data for the device;

a communication interface, the communication interface configured to obtain analyzed usage data for the device, the analyzed usage data generated by analyzing the usage data collected via the one or more sensors as well as usage data for the device collected by one or more sensors integrated with one or more additional devices communicatively coupled to the device via a network; and

a training system, the training system configured to present, in real-time during the user interactions with the device, training feedback generated based on the analyzed usage data.

11. The device of claim 10, the training system further configured to evaluate the analyzed usage data by comparing the analyzed usage data for the device with benchmark data.

12. The device of claim 10, the usage data having been collected during the user interactions with the device.

13. The device of claim 10, the training system being further configured to analyze the usage data performed during the user interactions with the device.

14. The device of claim 13, the training system being further configured to present the training feedback during the user interactions with the device.

15. The device of claim 10, training system being further configured to analyze the usage data.

16. A device comprising:

one or more processors; and

one or more computer-readable storage media having stored thereon multiple instructions that, responsive to execution by the one or more processors, cause the one or more processors to;

obtain analyzed usage data for a physical object, the analyzed usage data generated by analyzing usage data collected by one or more sensors integrated with the physical object as well as usage data for the physical object collected by one or more sensors integrated with one or more other physical objects communicatively coupled to the device via a network; and

present training feedback generated based on the analyzed usage data.

17. The device of claim 16, the multiple instructions further causing the one or more processors to evaluate the analyzed the usage data by comparing the analyzed usage data for the physical object with benchmark data.

18. The device of claim 17, the usage data having been collected during the user interactions with the physical object.

19. The device of claim 16, the multiple instructions further causing the one or more processors to analyze the usage data during user interactions with the physical object.

20. The device of claim 19, the multiple instructions further causing the one or more processors to present the training feedback during user interactions with the physical object.