CONTEXTUAL USER EXPERIENCE

• US 20170201592A1
• Filed: 10/07/2016
• Published: 07/13/2017
• Est. Priority Date: 01/13/2016
• Status: Active Grant

• Current Assignee: SAP SE
• Original Assignee: SAP SE
• Inventors: HALL, Christina, VOEGELE, Lena, WITTKOPF, Malin Elisabeth, GELDMACHER, Christian, HERTER, Klaus, RUES, lngo
• Granted Patent: US 10,554,768 B2
• Time in Patent Office: Days
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04L 67/60 Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources admission control or resource allocation H04L47/70

Abstract

The present disclosure is directed to a contextual user experience (UX) that utilizes contextual information such as artifacts including quanta of data accessible to the contextual UX, user input, and information retrieved from other sources to determine relevant correlations of interest to the user, which may then be generated and displayed on a computing device. Also described is a method and system for a contextual UX that may generate related but personalized contextual UXs for participants in a shared interaction according to each user'"'"'s context.

Claims

1. A computer-implemented method for dynamically adapting a user experience, comprising:

collecting, by a computing device, contextual information regarding usage of the computing device by a user;

analyzing, by the computing device, the contextual information wherein analyzing the contextual information includes;

determining at least two correlations between the contextual information and the user; and

prioritizing the at least two correlations;

receiving, by the computing device, an indication to display the at least two correlations on a display of the computing device; and

based on at least the indication and the prioritizing step, displaying a contextual user experience including the at least two correlations on the display of the computing device.

2. The computer-implemented method of claim 1, wherein the contextual information includes at least one of biometric data of the user, physical information of an environment of the user, and a workflow of the user with the computing device.

3. The computer-implemented method of claim 2, wherein the physical information from the user'"'"'s environment is obtained by a sensor of the computing device.

4. The computer-implemented method of claim 3, wherein the sensor includes at least one of a camera, a fingerprint sensor, or a microphone.

5. The computer-implemented method of claim 2, wherein the biometric data includes an image of the user.

6. The computer-implemented method of claim 2, wherein the user'"'"'s workflow includes the user'"'"'s interactions with at least one of a calendar application, email application, or web browser installed on the computing device.

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

monitoring a plurality of contextual information sources, wherein collecting the contextual information regarding usage of the computing device by a user includes retrieving the contextual information from the plurality of contextual information sources.

8. The computer-implemented method of claim 7, wherein the plurality of contextual information sources includes at least one application installed on the computing device, a sensor of the computing device, and a user'"'"'s interactions with the contextual user experience.

9. The computer-implemented method of claim 1, wherein the contextual information includes at least two of biometric data of the user, physical information of an environment of the user, and a workflow of the user with the computing device.

10. The computer-implemented method of claim 1, wherein the indication includes at least one of a manual indication from the user or an automatic indication.

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

continuously collecting contextual information regarding usage of the computing device by the user and continuously analyzing the contextual information until receiving an indication to display the contextual user experience.

12. A computer-program product comprising a non-transitory computer readable medium, the computer program product including code to implement a method comprising:

collecting, by a computing device, contextual information regarding usage of the computing device by a user;

analyzing, by the computing device, the contextual information wherein analyzing the contextual information includes;

determining at least two correlations between the contextual information and the user; and

prioritizing the at least two correlations;

receiving, by the computing device, an indication to display the at least two correlations on a display of the computing device; and

based on at least the indication and the prioritizing step, displaying a contextual user experience including the at least two correlations on the display of the computing device.

13. The computer-program product of claim 12, wherein the contextual information includes at least one of biometric data of the user, physical information of an environment of the user, and a workflow of the user with the computing device.

14. The computer-program product of claim 12, wherein the method further comprises monitoring a plurality of contextual information sources, wherein collecting the contextual information regarding usage of the computing device by a user includes retrieving the contextual information from the plurality of contextual information sources.

15. The computer program product of claim 12, wherein the contextual information includes at least two of biometric data of the user, physical information of an environment of the user, and a workflow of the user with the computing device.

16. The computer program product of claim 12, wherein the method further comprises continuously collecting contextual information regarding usage of the computing device by the user and continuously analyzing the contextual information until receiving an indication to display the contextual user experience.

17. A system for dynamically adapting a user experience, the system comprising:

a processor coupled to memory, the processing being programmed to;

collect, by a computing device, contextual information regarding usage of the computing device by a user;

analyze, by the computing device, the contextual information wherein analyzing the contextual information includes;

determine at least two correlations between the contextual information and the user; and

prioritize the at least two correlations;

receive, by the computing device, an indication to display the at least two correlations on a display of the computing device; and

based on at least the indication and the prioritizing step, display a contextual user experience including the at least two correlations on the display of the computing device.

18. The system of claim 17, wherein the contextual information includes at least one of biometric data of the user, physical information of an environment of the user, and a workflow of the user with the computing device.

19. The system of claim 17, wherein the processor is further programmed to monitor a plurality of contextual information sources, wherein collecting the contextual information regarding usage of the computing device by a user includes retrieving the contextual information from the plurality of contextual information sources.

20. The system of claim 17, wherein the contextual information includes at least two of biometric data of the user, physical information of an environment of the user, and a workflow of the user with the computing device.