Providing Mediated Social Interactions

• US 20190317605A1
• Filed: 11/21/2017
• Published: 10/17/2019
• Est. Priority Date: 11/23/2016
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google LLC (Alphabet Inc.)
• Inventors: Dobson, Kelly Elizabeth
• Granted Patent: US 10,884,502 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/6804 Garments; Clothes
• CPC Class Codes: G06F 2203/011 Emotion or mood input determined on the basis of sensed human body parameters such as pulse, heart rate or beat, temperature of skin, facial expressions, iris, voice pitch, brain activity patterns
• CPC Class Codes: G06F 3/011 Arrangements for interaction with the human body, e.g. for user immersion in virtual reality blind teaching G09B21/00
• CPC Class Codes: G06F 3/012 Head tracking input arrangements
• CPC Class Codes: G06F 3/015 Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
• CPC Class Codes: G06F 3/016 Input arrangements with force or tactile feedback as computer generated output to the user
• CPC Class Codes: G06F 3/017 Gesture based interaction, e.g. based on a set of recognized hand gestures interaction based on gestures traced on a digitiser G06F3/04883
• CPC Class Codes: G06F 3/04883 for inputting data by handwriting, e.g. gesture or text
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/101 Collaborative creation, e.g. joint development of products or services
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G06V 10/17 using hand-held instruments
• CPC Class Codes: G06V 40/15 Biometric patterns based on physiological signals, e.g. heartbeat, blood flow
• CPC Class Codes: G06V 40/20 Movements or behaviour, e.g. gesture recognition recognition of facial expressions G06V40/16
• CPC Class Codes: H04M 1/72412 using two-way short-range wireless interfaces

Abstract

Systems and methods of providing mediated social interactions are provided. For instance, a user input from a first user indicative of a request to facilitate a provision of emotive contextual signals to a second user can be received. One or more emotive contextual signals to be provided to the second user can be determined based at least in part on the user input. The one or more emotive contextual signals can include one or more haptic feedback signals intended to facilitate a mediated social interaction associated with the second user.

Claims

1. A computer-implemented method of providing emotive contextual signals to a user, the method comprising:

receiving, by a first computing device, a user input from a first user indicative of a request to facilitate a provision of emotive contextual signals to a second user; and

determining, by a second computing device, one or more first emotive contextual signals to be provided to the second user based at least in part on the user input, the one or more first emotive contextual signals comprising one or more first haptic feedback signals intended to facilitate a mediated social interaction associated with the second user.

2. The computer-implemented method of claim 1, further comprising providing, by the second computing device, the one or more first emotive contextual signals to the second user.

3. The computer-implemented method of claim 1, wherein the user input comprises an input gesture performed by the first user with respect to the first computing device, the input gesture being associated with the mediated social interaction.

4. The computer-implemented method of claim 3, wherein the input gesture comprises a physical interaction by the first user with the first computing device.

5. The computer-implemented method of claim 3, wherein the first computing device comprises one or more gesture detection sensors, and wherein receiving the user input comprises detecting the input gesture via the one or more gesture detection sensors.

6. The computer-implemented method of claim 1, wherein the second computing device comprises one or more haptic feedback devices and wherein determining one or more first emotive contextual signals comprises determining the one or more first haptic feedback signals to be provided to the second user by the one or more haptic feedback devices.

7. The computer-implemented method of claim 1, further comprising:

determining, by the second computing device, an emotional response of the second user to the one or more first emotive contextual signals; and

comparing, by the second computing device, the determined emotional response of the second user to a target emotional response.

8. The computer-implemented method of claim 7, further comprising determining, by the second computing device, one or more second emotive contextual signals based at least in part on the comparison of the determined emotional response to the target emotional response.

9. The computer-implemented method of claim 7, wherein determining, by the second computing device, an emotional response of the second user to the one or more first emotive contextual signals comprises measuring, by the second computing device, one or more biometric signals associated with the second user.

10. The computer-implemented method of claim 9, wherein the one or more biometric signals comprise one or more of a heart rate associated with the second user, a temperature associated with the second user, or a skin conductance associated with the second user.

11. The computer-implemented method of claim 1, wherein the first and second computing devices are associated with smart garments having a plurality of electrically conductive yarns configured to implement one or more circuits.

12. The computer-implemented method of claim 1, wherein determining, by a second computing device, one or more first emotive contextual signals comprises determining the one or more first emotive contextual signals using one or more machine learning techniques.

13. The computer-implemented method of claim 1, wherein determining, by the second computing device, one or more first emotive contextual signals to be provided to the second user comprises determining the one or more first emotive contextual signals based at least in part on one or more characteristics of the second user.

14. A computing system, comprising:

one or more processors; and

one or more memory devices, the one or more memory devices storing computer-readable instructions that when executed by the one or more processors cause the one or more processors to perform operations, the operations comprising;

receiving a user input from a first user indicative of a request to facilitate a provision of emotive contextual signals to a second user; and

determining one or more first emotive contextual signals to be provided to the second user based at least in part on the user input, the one or more first emotive contextual signals comprising one or more first haptic feedback signals intended to facilitate a mediated social interaction associated with the second user.

15. The computing system of claim 14, further comprising one or more haptic feedback devices, and wherein the operations further comprise providing the one or more first emotive contextual signals to the second user via the one or more haptic feedback devices.

16. The computing system of claim 14, the operations further comprising:

determining an emotional response of the second user to the one or more first emotive contextual signals; and

comparing the determined emotional response of the second user to a target emotional response.

17. The computing system of claim 16, the operations further comprising determining one or more second emotive contextual signals based at least in part on the comparison of the determined emotional response to the target emotional response.

18. One or more tangible, non-transitory computer-readable media storing computer-readable instructions that when executed by one or more processors cause the one or more processors to perform operations, the operations comprising:

receiving a user input from a first user indicative of a request to facilitate a provision of emotive contextual signals to a second user; and

determining one or more first emotive contextual signals to be provided to the second user based at least in part on the user input, the one or more first emotive contextual signals comprising one or more first haptic feedback signals intended to facilitate a mediated social interaction associated with the second user.

19. The one or more tangible, non-transitory computer-readable media of claim 18, wherein the user input comprises an input gesture performed by the first user with respect to the first computing device, the input gesture being associated with the first emotional response.

20. The one or more tangible, non-transitory computer-readable media of claim 18, wherein determining one or more first emotive contextual signals comprises determining the one or more first emotive contextual signals based at least in part on one or more biometric characteristics of the second user.