IP Library Granted Patent US 12,052,633
Granted Patent B2
US 12,052,633 · App. 17/548,922 · Granted Jul 30, 2024

Time-delimited action suggestion system

Inventors: Vikram Aggarwal (Palo Alto, CA); Chen Xiao (Palo Alto, CA)
Assignee: GOOGLE LLC
H04W4/023G06F16/9535H04L41/22H04L43/16H04L69/28H04W88/02
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Quick Facts
Patent No.
US 12,052,633
App. No.
17/548,922
Granted
Jul 30, 2024
Kind
B2
Abstract

Systems and methods for providing time-delimited action suggestions are provided. In one example embodiment, a method includes receiving, by one or more computing devices from a user device, data indicative of a user-requested time-bound activity. The time-bound activity is associated with a time period. The method includes identifying, by the one or more computing devices, one or more parameters associated with a user that requested the time-bound activity. The method includes determining, by the one or more computing devices, a suggested action based at least in part on the one or more parameters associated with the user and the time period associated with the time-bound activity. The method includes providing, by the one or more computing devices, an output indicative of the suggested action to the user device.

Claims (50)

1. A computer-implemented method, comprising:

identifying, by a vehicular computing device of a vehicle, a time-bound activity for a user of the vehicle, wherein the time-bound activity is associated with a time period for a navigation activity of the vehicle from a current location to a destination location;

identifying, by the vehicular computing device, one or more parameters associated with the user, wherein the one or more parameters associated with the user include at least one application parameter of one or more software applications accessible by the vehicular computing device or by a user device of the user of the vehicle;

selecting, by the vehicular computing device, one or more suggested actions based at least in part on the one or more parameters associated with the user and the destination location of the navigation activity; and

causing, by the vehicular computing device, output indicative of the one or more selected suggested actions to be provided for presentative to the user.

2. The computer-implemented method of claim 1 , wherein identifying the time-bound activity for the user of the vehicle comprises:

inferring, by the vehicular computing device, an estimated route of the vehicle from the current location to the destination location;

determining, by the vehicular computing device, the time period based on the estimated route of the vehicle from the current location to the destination location; and

identifying, by the vehicular computing device, the time-bound activity for the user of the vehicle based on at least the time period.

3. The computer-implemented method of claim 2 , wherein identifying the time-bound activity for the user of the vehicle is further based on one or more of: a time of day, or estimated traffic for the time of day.

4. The computer-implemented method of claim 2 , wherein one or more of the suggested actions include at least one location specific action.

5. The computer-implemented method of claim 4 , wherein selecting one or more of the suggested actions based at least in part on the time period associated with the time-bound activity, the one or more parameters associated with the user, and the destination location of the navigation activity comprises:

identifying, by the vehicular computing device, one or more suggested stops along the estimated route of the vehicle from the current location to the destination location; and

selecting, by the vehicular computing device, one or more of the suggested stops along the estimated route of the vehicle from the current location to the destination location as the at least one location specific action.

6. The computer-implemented method of claim 1 , wherein one or more of the suggested actions include at least one media content action.

7. The computer-implemented method of claim 6 , wherein selecting one or more of the suggested actions is further based on the time period associated with the time-bound activity.

8. The computer-implemented method of claim 7 , wherein selecting one or more of the suggested actions based at least in part on the time period associated with the time-bound activity, the one or more parameters associated with the user, and the destination location of the navigation activity comprises:

identifying, by the vehicular computing device, and based on the destination location, at least one media content item; and

selecting, by the vehicular computing device, the at least one media content items as the at least one media content action identified based on the destination location.

9. A vehicular computing device of a vehicle, the vehicular computing device of the vehicle comprising:

one or more processors; and

one or more memory devices comprising instructions that, when executed, cause one or more of the processors to:

identify a time-bound activity for a user of the vehicle, wherein the time-bound activity is associated with a time period for a navigation activity of the vehicle from a current location to a destination location;

identify one or more parameters associated with the user, wherein the one or more parameters associated with the user include at least one application parameter of one or more software applications accessible by the vehicular computing device or by a user device of the user of the vehicle;

select one or more suggested actions based at least in part on the one or more parameters associated with the user and the destination location of the navigation activity; and

cause output indicative of the one or more selected suggested actions to be provided for presentative to the user.

10. The vehicular computing device of claim 9 , wherein the instructions to identify the time-bound activity for the user of the vehicle comprise instructions to:

infer an estimated route of the vehicle from the current location to the destination location;

determine the time period based on the estimated route of the vehicle from the current location to the destination location; and

identify the time-bound activity for the user of the vehicle based on at least the time period.

11. The vehicular computing device of claim 10 , wherein identifying the time-bound activity for the user of the vehicle is further based on one or more of: a time of day, or estimated traffic for the time of day.

12. The vehicular computing device of claim 10 , wherein one or more of the suggested actions include at least one location specific action.

13. The vehicular computing device of claim 12 , wherein the instructions to select one or more of the suggested actions based at least in part on the time period associated with the time-bound activity, the one or more parameters associated with the user, and the destination location of the navigation activity comprise instructions to:

identify one or more suggested stops along the estimated route of the vehicle from the current location to the destination location; and

select one or more of the suggested stops along the estimated route of the vehicle from the current location to the destination location as the at least one location specific action.

14. The vehicular computing device of claim 9 , wherein one or more of the suggested actions include at least one media content action.

15. The vehicular computing device of claim 14 , wherein selecting one or more of the suggested actions is further based on the time period associated with the time-bound activity.

16. The vehicular computing device of claim 15 , wherein the instructions to select one or more of the suggested actions based at least in part on the time period associated with the time-bound activity, the one or more parameters associated with the user, and the destination location of the navigation activity comprise instructions to:

identify, based on the destination location, at least one media content item; and

select the at least one media content items as the at least one media content action identified based on the destination location.

17. A non-transitory computer-readable media storing computer-readable instructions that when executed by one or more processors of a vehicular computing device to perform operations, the operations comprising:

identifying a time-bound activity for a user of the vehicle, wherein the time-bound activity is associated with a time period for a navigation activity of the vehicle from a current location to a destination location;

identifying one or more parameters associated with the user, wherein the one or more parameters associated with the user include at least one application parameter of one or more software applications accessible by the vehicular computing device or by a user device of the user of the vehicle;

selecting one or more suggested actions based at least in part on the one or more parameters associated with the user and the destination location of the navigation activity; and

causing output indicative of the one or more selected suggested actions to be provided for presentative to the user.

18. The non-transitory computer-readable medium of claim 17 , wherein identifying the time-bound activity for the user of the vehicle comprises:

inferring an estimated route of the vehicle from the current location to the destination location;

determining the time period based on the estimated route of the vehicle from the current location to the destination location; and

identifying the time-bound activity for the user of the vehicle based on at least the time period.

19. The non-transitory computer-readable medium of claim 17 , wherein identifying the time-bound activity for the user of the vehicle is further based on one or more of: a time of day, or estimated traffic for the time of day.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 2, 2022
From: AGGARWAL, VIKRAM; XIAO, CHEN
To: GOOGLE INC.
Reel/Frame 059782/0220 →
CHANGE OF NAME Recorded May 2, 2022
From: GOOGLE INC.
To: GOOGLE LLC
Reel/Frame 059844/0674 →
Continuity (3)
Continuation 16681699 · Nov 12, 2019
Continuation 15297194 · Oct 19, 2016
Related Publication 20220103972A1 · Mar 31, 2022