Method, apparatus and system for enabling context aware notification in mobile devices

• US 20100075652A1
• Filed: 11/25/2009
• Published: 03/25/2010
• Est. Priority Date: 06/20/2003
• Status: Abandoned Application

• Current Assignee: Brad Needham, Dhananjay V. Keskar
• Original Assignee: Brad Needham, Dhananjay V. Keskar
• Inventors: Needham, Brad, Keskar, Dhananjay V.
• Application Number:
  US12/592,469
• Publication Number:
  US 20100075652A1
• Time in Patent Office: Days
• US Class Current: 455/418
• CPC Class Codes: H04M 1/72451 according to schedules, e.g. using calendar applications
• CPC Class Codes: H04M 1/72454 according to context-related or environment-related conditions
• CPC Class Codes: H04M 1/72457 according to geographic location
• CPC Class Codes: H04M 19/04 the ringing-current being generated at the substations
• CPC Class Codes: H04M 19/045 Call privacy arrangements, e.g. timely inhibiting the ring signal
• CPC Class Codes: H04M 2250/12 including a sensor for measuring a physical value, e.g. temperature or motion telephones including GPS signal receivers H04M2250/10

Abstract

Mobile devices may utilize various sensors to gather context information pertaining to the user'"'"'s surroundings. These devices may also include and/or access other types of information pertaining to the user, such as the user'"'"'s calendar data. In one embodiment, mobile devices may utilize some or all the gathered information to determine the appropriate behavior of the mobile device, in conjunction with the user'"'"'s preferences.

Claims

1. A method executed by a processor for enabling user context-aware notification in a mobile device, comprising:

gathering a user'"'"'s physical context information from one or more sources wherein the user'"'"'s physical context information includes current environment information for the user;

gathering user-specific location information from one or more sources, wherein the user-specific location includes at least a current location of a user;

gathering schedule information from one or more sources, wherein the schedule information includes a current activity of a user;

combining the user'"'"'s physical context information and the user-specific location and the schedule information to derive user-context information;

combining user defined preferences if they exist, together with the derived user-context information; and

directing the mobile device to modify its behavior based on the results from the combining of the user context information and the user defined preferences if they exist.

2. The method according to claim 1 wherein the behavior includes one of disabling the mobile device notification, lowering a volume of the mobile device notification, raising the volume of the mobile device notification, entering a silent mode, entering a vibrate-only mode, emitting a beep from the mobile device, causing a display screen on the mobile device to flash and causing a light emitting diode (“

LED”

) on the mobile device to blink.

3. The method according to claim 1 wherein gathering the user'"'"'s physical context information includes gathering at least one of ambient light information, tactile information, ambient noise information, accelerometer information and orientation information.

4. The method according to claim 1 wherein gathering user-specific location further includes gathering at least one of a time of day and a date.

5. The method according to claim 1 wherein gathering the user'"'"'s physical context information includes gathering the user context information from at least one of a light sensor, a tactile sensor, an ambient noise microphone, an accelerometer and an orientation sensor.

6. The method according to claim 4 wherein gathering schedule information includes gathering information from at least one of a user calendar program and the mobile device.

7. The method according to claim 1 wherein the user defined preferences if they exist include at least one of a default set of preferences, a customized set of preferences and a learned set of preferences.

8. A processing apparatus, comprising:

at least one processing module capable of

gathering user physical context information wherein the user'"'"'s physical context information includes current environment information for the user,

gathering user-specific location information from one or more sources wherein the user-specific location includes at least a current location of a user;

gathering schedule information from one or more sources, wherein the schedule information includes a current activity of a user;

combining the user'"'"'s physical context information and the user-specific location and the schedule information to derive user-context information;

combining user defined preferences if they exist, together with the derived user-context information; and

the at least one processing module further capable of directing the mobile device to modify its behavior based on the results from the combining of the user context information and the user defined preferences if they exist.

9. The processing apparatus according to claim 8 wherein the at least one processing module is further capable of gathering at least one of light information, tactile information, ambient noise information, accelerometer information and orientation information.

10. The processing apparatus according to claim 8 wherein the at least one processing module is further capable of gathering at least one of a user calendar information, a user location, a time of day and a date.

11. The processing apparatus according to claim 8 further comprising at least one of:

a light sensor;

a tactile sensor;

an ambient noise microphone;

an accelerometer; and

an orientation sensor.

12. The processing apparatus according to claim 8 wherein the at least one processing module comprises a preprocessing module and a context processing module.

13. An article comprising a machine-accessible medium having stored thereon instructions that, when executed by a machine, cause the machine to:

gather a user'"'"'s physical context information from one or more sources wherein the user'"'"'s physical context information includes current environment information for the user;

gather user-specific location information from one or more sources, wherein the user-specific location includes at least a current location of a user;

gather schedule information from one or more sources, wherein the schedule information includes a current activity of a user;

combine the user'"'"'s physical context information and the user-specific location and the schedule information to derive user-context information;

combine user defined preferences if they exist, together with the derived user-context information; and

direct the mobile device to modify its behavior based on the results of the combining of the user context information and the user defined preferences if they exist.

14. The article according to claim 13 wherein the instructions, when executed by the machine, further cause the machine to direct the mobile device to perform at least one of disabling the mobile device notification, lowering the volume of the mobile device notification and raising the volume of the mobile device notification.

15. The article according to claim 14 wherein the instructions, when executed by the machine, further cause the machine to gather physical context information and other context information.

16. The article according to claim 15 wherein the instructions, when executed by the machine, further cause the machine to gather at least one of light information, tactile information, ambient noise information, accelerometer information and orientation information.

17. The article according to claim 15 wherein the instructions, when executed by the machine, additionally cause the machine to gather at least one of a time of day and a date.

18. The article according to claim 15 wherein the instructions, when executed by the machine, further cause the machine to gather the user'"'"'s physical context information from at least one of a light sensor, a tactile sensor, an ambient noise microphone, an accelerometer and an orientation sensor.

19. The article according to claim 15 wherein the instructions, when executed by the machine, further cause the machine to gather the user schedule information from at least one of a user calendar program and the mobile device.