ACTIVITY-CENTRIC ADAPTIVE USER INTERFACE

• US 20070300185A1
• Filed: 06/27/2006
• Published: 12/27/2007
• Est. Priority Date: 06/27/2006
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Oliver, Nuria M., Czerwinski, Mary P., Murillo, Oscar E., Fernandez, Roland L., Spence, Jeanine E., Robertson, George G., Macbeth, Steven W., Tan, Desney S., Meyers, Brian R., Pedersen, Elin R., Pinckney, Michael D.
• Application Number:
  US11/426,804
• Publication Number:
  US 20070300185A1
• Time in Patent Office: Days
• US Class Current: 715/825
• CPC Class Codes: G06F 3/048 Interaction techniques based on graphical user interfaces [GUI]
• CPC Class Codes: G06F 9/451 Execution arrangements for user interfaces

Abstract

The innovation enables “total system” experiences for activities and activity-specialized experiences for applications and gadgets that allow them to align more closely with the user, his work, and his goals. In particular, the system provides for dynamically changing the user interface (UI) of the system level shell (“desktop”), of applications, and of standalone UI parts (“gadgets”), based upon a current (or future) activity of the user and other context data. The system can consider context data that includes extended activity data, information about the user'"'"'s state, and information about the current environment. Preprogrammed and/or inferred rules can be used to decide how to adapt the UI based upon the activity. These rules can include, user rules, group rules, and device rules. Additionally, activities and applications can also participate in the decision of how to adapt the UI.

Claims

1. A system that facilitates adjusting a user interface (UI) in accordance with an activity of a user, comprising:

an activity detection component that identifies the activity based at least in part upon a plurality of actions of the user; and

an adaptive interface component that dynamically determines at least one of an adaptive UI layout, inclusion, and flow based at least in part upon the activity.

2. The system of claim 1, further comprising a component that enables a developer to build a plurality of adaptive UI components based at least in part upon a declarative model that describes capabilities of the adaptive UI, the adaptive interface component employs the declarative model to dynamically determine the UI layout, inclusion or flow with respect to a subset of the plurality of adaptive UI components.

3. The system of claim 1, further comprising a component that enables at least one of a developer and an activity author to build a plurality of adaptive UI experiences using a declarative model that describes a UI experience, the adaptive interface component employs the declarative model to dynamically determine the UI layout, inclusion or flow based at least in part upon an experience.

4. The system of claim 1, the adaptive interface component further comprises an inference engine that dynamically determines at least one of layout, inclusion and flow of the adaptive UI based at least in part upon a declarative UI definition.

5. The system of claim 1, the plurality of actions is based at least in part upon one of a current and a past behavior of the user.

6. The system of claim 1, the adaptive UI component includes a device collaboration component that at least one of predicts and recommends a subset of a plurality of devices for use in accordance with the activity.

7. The system of claim 1, the activity detection component further comprises a context determination component that detects a user context, the activity detection component leverages the user context as part of an inference to render the adaptive UI and recommend a subset of a plurality of devices based in part upon on the user context.

8. The system of claim 1, the activity detection component further comprises a context determination component that detects an environmental context, the activity detection component leverages the environmental context as part of an inference to render the adaptive UI and recommend a subset of a plurality of devices based in part upon on the environmental context.

9. The system of claim 1, the activity detection component further comprises a context determination component that detects a user preference, the activity detection component leverages the user preference as part of an inference to render the adaptive UI and recommend a subset of a plurality of devices based in part upon on the user preference.

10. The system of claim 1, the activity detection component further comprises a context determination component that detects device characteristic, the activity detection component leverages the device characteristic as part of an inference to render the adaptive UI and recommend a subset of a plurality of devices based in part upon on the device characteristic.

11. The system of claim 1, the activity detection component further comprises a context determination component that detects a device capability, the activity detection component leverages the device capability as part of an inference to render the adaptive UI and recommend a subset of a plurality of devices based in part upon on the device capability.

12. The system of claim 1, further compromising a feedback component that collects at least one of implicit and explicit feedback from a plurality of users about rendering of the adaptive UI in order to improve future rendering based upon statistical analysis of feedback for a specific user.

13. The system of claim 12, the feedback component aggregates feedback from the plurality of users and employs at least one of a probabilistic and statistical-based analysis to improve rendering across a broad range of users based upon the aggregated feedback.

14. A method for adapting a UI in accordance with an activity, comprising:

detecting the activity; and

dynamically adapting the UI based upon the activity and context information.

15. The method of claim 14, the act of detecting the activity comprises inferring the activity from a plurality of user actions.

16. The method of claim 14, further comprising gathering a plurality of UI components based at least in part upon a declarative model.

17. The method of claim 15, the act of dynamically adapting the UI includes determining a layout of the plurality of UI components based at least in part upon the activity.

18. The method of claim 15, the act of dynamically adapting the UI includes determining an inclusion of a subset of the plurality of UI components based at least in part upon the activity.

19. The method of claim 15, the act of dynamically adapting the UI comprises determining a flow of the plurality of UI components based at least in part upon the activity.

20. A computer-executable system that generates an adapted UI in accordance with an activity of a user, comprising:

means for detecting activity-centric context data;

means for identifying an activity;

means for identifying an application UI model;

means for establishing an adapted UI model based at least in part upon the activity-centric data, the activity and the application UI model;

means for analyzing a plurality of device profiles; and

means for rendering the adapted UI based at least in part upon the adapted UI model and a subset of the plurality of device profiles.