Sensory-based delivery of content

Patent metadata

Field	Value
Publication number	US-10769701-B1
Application number	US-201815907031-A
Country	US
Kind code	B1
Filing date	Feb 27, 2018
Priority date	Feb 27, 2018
Publication date	Sep 8, 2020
Grant date	Sep 8, 2020

Abstract

Various embodiments of systems and methods allow, in connection with a customized web landing page, a “shake to reveal” content functionality, wherein an end-user customer provides input, via an electronic device, with respect to predefined categories, and content responsive to the input is determined. The content may include a product or service recommendation and will have one or more sensory aspects pertaining thereto. Upon performance of a triggering action on the end-user device, the device is provided with aural, visual, haptic, or other feedback conveying the sensory aspects. Further, the content is displayed on the device. Varying forms of end-user triggering actions may be performed, and embodiments may use a neural network trained on a data set to generate the recommendations and select content for the end-user.

First claim

What is claimed is:

1. A computer-implemented method, comprising:
receiving an input in response to at least one question about a prospective consumer of a product;
determining first recommendation content responsive to the input, the first recommendation content having a sonic aspect pertaining to the product;
receiving accelerometer data regarding a first triggering motion performed on an electronic device;
providing aural feedback on the electronic device, the aural feedback relating to the sonic aspect and generally synchronous with the first triggering motion;
providing the first recommendation content for presentation on the electronic device;
receiving accelerometer data regarding a second triggering motion performed on the electronic device;
determining a second recommendation content responsive to the first input;
providing the aural feedback on the electronic device, the aural feedback generally synchronous with the second triggering motion; and
providing the second recommendation content for presentation on the electronic device.

2. The computer-implemented method of claim 1 , wherein the input comprises at least one of: a tactile question response, an image, a video, or an aural command.

3. The computer-implemented method of claim 1 , further comprising:
providing at least one of visual, haptic, or tactile feedback on the electronic device.

4. The computer-implemented method of claim 1 , further comprising:
providing at least one of a feedforward, recurrent, radial basis function, modular, and self-organizing neural network;
training the neural network on a data set, the data set comprising preferences and histories; and
applying the neural network to optimize the determination of content responsive to the input.

5. A computer-implemented method, comprising:
receiving at least one input with respect to at least one predefined category;
determining a plurality of content responsive to the at least one input, each content of the plurality of content having a sensory aspect pertaining thereto;
receiving accelerometer data regarding a plurality of triggering actions performed on an electronic device;
providing, through the electronic device, feedback relating to a plurality of sensory aspects and generally synchronous with the plurality of triggering actions; and
providing at least a portion of the plurality of content corresponding to the plurality of sensory aspects for presentation on the electronic device.

6. The computer-implemented method of claim 5 , wherein the feedback relating to the sensory aspect comprises at least one of aural, visual, haptic, or tactile feedback on the electronic device.

7. The computer-implemented method of claim 5 , further comprising:
setting a triggering action acceptability threshold, the triggering action acceptability threshold configured such that unintended or other minimal electronic device movements are not accepted as a triggering action.

8. The computer-implemented method of claim 5 , further comprising:
verifying that triggering action functionality is present and accessible on the electronic device.

9. The computer-implemented method of claim 5 , wherein the at least one input comprises at least one of: a tactile question response, an image, a video, or an aural command.

10. The computer-implemented method of claim 9 , further comprising:
determining, in response to an additional triggering action, additional content responsive to the at least one input, the additional content having a sensory aspect pertaining thereto;
providing, in response to the additional triggering action, additional feedback on the electronic device, the feedback relating to the sensory aspect; and
providing the additional content for presentation on the electronic device.

11. The computer-implemented method of claim 5 , further comprising:
receiving a second input with respect to at least one predefined category; and
updating the content presented on the electronic device pursuant to the second input.

12. The computer-implemented method of claim 5 , further comprising:
training a neural network on a data set; and
applying the neural network to optimize the determination of content responsive to the at least one input.

13. A computing system, comprising:
at least one processor; and
memory including instructions that, when executed by the at least one processor, cause the computing system to:
receive at least one input with respect to at least one predefined category;
determine a plurality of content responsive to the at least one input, the content having a sensory aspect pertaining thereto;
receive accelerometer data regarding a plurality of triggering actions performed on an electronic device;
provide, through the electronic device, feedback relating to a plurality of sensory aspects and generally synchronous with the plurality of triggering actions; and
provide at least a portion of the plurality of content corresponding to the plurality of sensory aspects for presentation on the electronic device.

14. The computing system of claim 13 , wherein the feedback relating to the sensory aspect comprises at least one of aural, visual, haptic, or tactile feedback on the electronic device.

15. The computing system of claim 13 , wherein the instructions when executed further cause the computing system to:
set a triggering action acceptability threshold, the triggering action acceptability threshold configured such that unintended or other minimal electronic device movements are not accepted as a triggering action.

16. The computing system of claim 13 , wherein the instructions when executed further cause the computing system to:
verify that triggering action functionality is present and accessible on the electronic device.

17. The computing system of claim 13 , wherein the at least one input comprises at least one of: a tactile question response, an image, a video, or an aural command.

18. The computing system of claim 13 , wherein the instructions when executed further cause the computing system to:
determine, in response to an additional triggering action, additional content responsive to the at least one input, the additional content having a sensory aspect pertaining thereto;
provide, in response to the additional triggering action, additional feedback on the electronic device, the feedback relating to the sensory aspect; and
provide the additional content for presentation on the electronic device.

19. The computing system of claim 13 , wherein the instructions when executed further cause the computing system to:
receive a second input with respect to at least one predefined category; and
update the content presented on the electronic device pursuant to the second input.

20. The computing system of claim 13 , wherein the instructions when executed further cause the computing system to:
train a neural network on a data set; and
apply the neural network to optimize the determination of content responsive to the at least one input.

Assignees

• Amazon Tech Inc

Inventors

• Winer Corby
• Crivlare Amanda
• Norman Michael Naro
• Morton Matthew Douglas
• Weisman Whitney

Classifications

• G06F3/0346

  with detection of the device orientation or free movement in a three-dimensional [3D] space, e.g. 3D mice, 6-DOF [six degrees of freedom] pointers using gyroscopes, accelerometers or tilt-sensors · CPC title

• G06F3/017

  Gesture based interaction, e.g. based on a set of recognized hand gestures (interaction based on gestures traced on a digitiser G06F3/04883) · CPC title

• G06Q30/0641 Primary

  utilising user interfaces specially adapted for shopping · CPC title

• G06Q30/0631 Primary

  Recommending goods or services · CPC title

• G06Q30/0257

  User requested · CPC title