Guiding sensing and preferences for context-sensitive services

• US 20060010206A1
• Filed: 06/29/2005
• Published: 01/12/2006
• Est. Priority Date: 10/15/2003
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Horvitz, Eric J., Subramani, Murugesan S., Apacible, Johnson T.
• Granted Patent: US 7,831,679 B2
• Time in Patent Office: Days
• US Class Current: 709/205
• CPC Class Codes: G06F 15/16 Combinations of two or more digital computers each having at least an arithmetic unit, a program unit and a register, e.g. for a simultaneous processing of several programs coordinating program control therefor G06F9/52; in regulating and control system G05B
• CPC Class Codes: G06F 15/163 Interprocessor communication
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: H04L 12/28 characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks] wireless communication networks H04W ; arrangements for dividing the transmission path H04W40/00
• CPC Class Codes: H04M 2201/60 Medium conversion
• CPC Class Codes: H04M 2203/2072 Schedules, e.g. personal calendars
• CPC Class Codes: H04M 2242/22 Automatic class or number identification arrangements
• CPC Class Codes: H04M 3/42059 Making use of the calling party identifier
• CPC Class Codes: H04M 3/42093 Notifying the calling party of information on the called or connected party
• CPC Class Codes: H04M 3/42102 Making use of the called party identifier
• CPC Class Codes: H04M 3/4211 where the identifier is used to access a profile
• CPC Class Codes: H04M 3/436 Arrangements for screening incoming calls , i.e. evaluating the characteristics of a call before deciding whether to answer it based on the calling party profile H04M3/42059; based on location H04M3/42348; based on presence H04M3/42365; diversion H04M3/54
• CPC Class Codes: H04W 40/02 Communication route or path selection, e.g. power-based or shortest path routing
• CPC Class Codes: H04W 8/18 Processing of user or subscriber data, e.g. subscribed services, user preferences or user profiles; Transfer of user or subscriber data
• CPC Class Codes: H04W 8/22 Processing or transfer of terminal data, e.g. status or physical capabilities

Abstract

A sensing and context management architecture that can detect that a user is interacting with a given device and in an associated context, and in response thereto, manages device processes as the user moves from device to device, location to location, and/or context to context. The invention comprises a system that facilitates management of a user situation or context. A sensing component is provided that senses a context of a user by way of one or more sensors and/or a particular device with which the user is interacting in the context, for example, and a management component that manages the device and/or one or more services in the context according to rules or inferences user preferences, sensed observations, and user input data.

Claims

1. A system that facilitates management of a user context, comprising:

a sensing component that senses a user context of a user; and

a management component that determines a device for user interaction in the user context.

2. The system of claim 1, wherein the sensing component senses the user context via user interaction with a device in the user context.

3. The system of claim 1, wherein the sensing component designates a status to the device based on the user interaction.

4. The system of claim 1, wherein the management component processes a rule that impacts operation of the device and other devices of the user context.

5. The system of claim 1, wherein at least one of the device and the management component changes a device status based on the user interaction.

6. The system of claim 1, wherein the sensing component senses the user context based on data unrelated to the user interaction.

7. The system of claim 1, wherein the management component determines a new device for the user interaction if the device goes offline.

8. The system of claim 1, wherein the user context includes first and second devices of a plurality of different devices such that the management component of the second device assumes a status higher than the first device when the first device goes offline.

9. The system of claim 1, further comprising a machine learning and reasoning component that employs a probabilistic and/or statistical-based analysis to prognose or infer an action that a user desires to be automatically performed.

10. A server that employs the system of claim 1.

11. A computer-implemented method of managing devices in a user context, comprising:

sensing user interaction data between a user and a first device;

establishing the user context as associated with the first device and other devices of the user context;

applying user preferences based on at least one of the user, the first device, and the user context; and

managing operation of the first device and the other devices in the user context.

12. The method of claim 11, further comprising elevating a status of the first device relative to the other devices based on an input means of the user interaction data.

13. The method of claim 11, further comprising elevating a status of the first device relative to the other devices based on an application with which the user is interacting.

14. The method of claim 11, further comprising restricting access to at least one of the first device and the other devices of the user context based on the user.

15. The method of claim 11, further comprising clustering sensors employed in the act of sensing into sensor clusters such that utilization of a first sensor of a first sensor cluster invokes user preferences that are different than user preferences associated with a second sensor of a second sensor cluster.

16. The method of claim 11, further comprising acts of:

designating the first device as a master device based on the user interaction data; and

maintaining the first device as the master device when the user interacts with a second device.

17. The method of claim 11, further comprising at least one of the acts of:

predicting to a level of confidence a new device with which the user will interact; and

updating policies associated with user preferences based on the user interaction in the user context.

18. The method of claim 11, further comprising establishing which of a set of sensors or set of policies is utilized for taking automated actions, the act of establishing which of a set is determined by acts of:

establishing relevance of one or more of the set of sensors or devices in near proximity or across multiple locations, based on the observations by or status of the one or more of the set of sensors; and

optionally communicating the observations by or status of any one or more of the set of sensors, the observations by or status of the one or more of the set of sensors includes findings, policies, and local or global decisions about the usage of sensors and policies among multiple components of a system.

19. The method of claim 11, further comprising designating the first device as special based on an associated capability such that the first device operates independently of the user preferences.

20. A system that manages devices in a user context, comprising:

means for establishing the user context as associated with a first computing device and a second computing device;

means for sensing user interaction data between a user and the first computing device and the user and the second computing device;

means for designating one of the first computing device and the second computing device as a master device;

means for applying rules to the master device based on the user; and

means for managing operation of the master device based on the rules.