DETERMINING SITUATIONAL PATTERNS OF USE FOR COMPUTING SYSTEMS

• US 20090055132A1
• Filed: 03/03/2008
• Published: 02/26/2009
• Est. Priority Date: 08/22/2007
• Status: Abandoned Application

• Current Assignee: Samsung Electronics Co. Ltd. (Samsung Group)
• Original Assignee: Samsung Electronics Co. Ltd. (Samsung Group)
• Inventors: Cho, Hyuk, Cheng, Doreen, Song, Yu, Kalasapur, Swaroop, Jeong, Sangoh
• Application Number:
  US12/041,389
• Publication Number:
  US 20090055132A1
• Time in Patent Office: Days
• US Class Current: 702/187
• CPC Class Codes: H04L 41/00 Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
• 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: 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 1/72472 wherein the items are sorted according to specific criteria, e.g. frequency of use
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services

Abstract

Techniques for determining situational patterns of use of computing systems are disclosed. A situational pattern of use can be determined based on the situations encountered by the computing system as the situations occur without having to predefine a set of situations. Generally, a situation can be determined and/or defined based on the context of use of the computing system when the use occurs. The context of use can, for example, be determined based on internal and external variables including the physical environment where a device is used and biological data associated with a person who uses the device. The state of use of the computing system can, for example, be determined based on the state (or status) of one or more components of the computing system (e.g., the state of one or more active applications that are being used by person). Similar to the context of use, the state of use can be determined as the use occurs without having to predefine potential uses of the computing system (e.g., there is no need to predefine or know the applications that will be used on a device). Moreover, the state of use can be connected to context of use defining a situation in which the state of use has occurred to allow determining a pattern of use of the computing system at least based on the association of the state of use with the situation effectively defined by the contextual usage data which can be obtained as and when the use occurs.

Claims

1. A computing system, comprising:

one or more processors adapted for and/or capable of;

obtaining integrated state and contextual usage data for said computing system, wherein said integrated state and contextual usage data includes at least;

(a) a first state of use of said computing system and (b) a first context for said computing system effectively represented as a first situation associated with said first state of use of said computing system, whereby effectively indicating that in said first situation said computing system has been used in accordance with said first state of use, and thereby allowing a pattern of use to be determined for said computing system at least based on the association of said first state of use with said first situation; and

determining, based on said integrated state and contextual usage data, a situational pattern of use for said computing system by detecting that in said first situation said computing system has been used in accordance with said first state of use.

2. The computing system of claim 1, wherein said first context includes one or more of the following:

state of use of one or more usable components of said computing system, thereby allowing said first situation to be determined based on said state of use of one or more usable components of said computing system;

one or more context variables associated with and/or determined by one or more internal and/or external components of said computing system;

one or more environmental variables associated with the physical and/or operational environment of said computing system;

one or more variables associated with one or more users of said computing system.

3. The computing system of claim 1,

wherein said one or more processors are further adapted for and/or capable of:

determining, based on a situational pattern of use, the likelihood of said computing system being used in accordance with said first state of use if said first situation occurs; and

wherein said determining of said situational pattern of use comprises;

using one or more pattern extraction techniques to determine said situational pattern of use.

4. The computing system of claim 1, wherein said determining of said situational pattern of use further comprises:

determining said situational pattern based on the frequency in which said first state of use occurs in said first situation.

5. The computing system of claim 1, wherein said determining of said situational pattern of use comprises:

using one or more pattern extraction techniques to determine said situational pattern of use without receiving additional input.

6. The computing system of claim 1, wherein said determining of said situational pattern of use comprises:

using one or more pattern extraction techniques to determine said situational pattern of use without requiring supervised learning.

7. The computing system of claim 1, wherein said determining of said situational pattern of use further comprises:

determining said situational pattern of use based on the frequency in which first computing system has been used in accordance with said first state when said first situation occurs.

8. The computing system of claim 1,

wherein said obtaining of said obtaining integrated state and contextual usage data comprises one or more of the following:

defining, determining, receiving, selecting and/or identifying said integrated state and contextual usage data; and

wherein said first context includes the state of use of one or more usable components of said computing system, thereby allowing said situation to be determined based on said state of use of said one or more usable components of said computing system.

9. The computing system of claim 1, wherein said one or more processors adapted for and/or capable of:

obtaining said first state of use of said computing system based on the state of one or more components of said computing system;

obtaining said first context for said computing system; and

generating said integrated state and contextual usage data for said computing system.

10. The computing system of claim 9, wherein said first situation is not a predefined situation which has been defined prior to said obtaining of said first state of use, thereby allowing said pattern of use to be determined for said computing system without predefining a set of situations.

11. The computing system of claim 10, wherein said first state of use has not been defined prior to said obtaining of said first state of use, thereby allowing said pattern of use to be determined for said computing system without predefining a set of states of use.

12. The computing system of claim 1, wherein said first state of use of said computing system includes the state of one or more usable components of said computing system.

13. The computing system of claim 1, wherein said first state of use of said computing system includes the state of one or more usable components of said computing system which are active and being used by one or more persons who effectively interact with said one or more active applications via one or more input/output devices.

14. The computing system of claim 1, wherein said first state of use of said computing system includes one or more of the following:

state of one or more applications;

state of active use of one or more applications;

state of active use including one or more variables associated with the manner said one or more applications have been used;

state of one or more applications supported on said computing system;

state of one or more active applications that are being effectively used on said computing system; and

state of one or more active applications that are being effectively used by one or more persons who effectively interact with said one or more active applications via one or more input/output devices.

15. The computing system of claim 1, wherein said first context for said computing system is determined based on one or more of the following:

one or more internal components of said computing system,

one or more usable components of said computing system,

one or more internal factors and/or elements which are internal to said computing system, and

one or more external components, factors and/or elements that are external to said computing system.

16. The computing system of claim 1, wherein said first context for said computing system is determined based on one or more of the following:

an environmental factor and/or element,

an environmental factor and/or element associated with one or more humans interacting with one or more active applications on said computing system,

environmental context of use associated with an environment of one or more humans as they interact with one or more active applications on said computing system,

a geographical and/or physical factor and/or element;

time, date, location, mode, mode of operation, condition, event, speed and/or acceleration of movement, power and/or force,

presence of one or more external components and/or devices, detection of more of more external devices in a determined proximity of said device, detection of one or more active components operating on one or more external devices in a determined proximity of said device,

one or more physiological and/or biological conditions associated with one or more persons interacting with said computing system

one or more usable components of said computing system,

one or more usable components of said computing system that are active and/or being used

one or more applications supported by said computing system, and

one or more applications of said computing system that are active and/or being used.

17. The computing system of claim 1, wherein said first situation is not a predefined situation which has been defined prior to said obtaining of said integrated state and contextual data for said computing system, thereby allowing said pattern of use to be determined for said computing system without predefining a set of situations.

30. The computing system of claim 1, wherein said computing system includes one or more of the following:

a Smartphone, a wireless phone, a mobile phone, and a mobile device.

18. A computing system, comprising:

one or more processors adapted for and/or capable of;

obtaining a first state of use of said computing system, wherein said first state of use is determined based on the state of one or more components of said computing system and said first state of use effectively indicates that said computing system is in a first state of use;

obtaining a first context for said computing system, wherein said first context effectively defines and/or indicates a first situation for said computing system; and

generating integrated state and contextual usage data for said computing system, wherein said integrated state and contextual usage data includes at least;

(a) said first state of use of said computing system and (b) said first context for said computing system effectively represented as a situation associated with said first state of use of said computing system, whereby effectively indicating that in said first situation said computing system has been used in accordance with said first state of use, and thereby allowing a pattern of use to be determined for said computing system at least based on the association of said first state of use with said first situation.

19. A method for allowing a pattern of use to be determined for a computing system, said method comprising:

determining, based on the state of one or more components of the computing system, a first state of use of said computing system, wherein said first state of use effectively indicates that said computing system is in a first state of use;

determining a first context for said computing system, wherein said first context effectively defines and/or indicates a first situation for said computing system; and

generating integrated state and contextual usage data for said computing system, wherein said integrated state and contextual usage data includes at least;

(a) said first state of use of said computing system and (b) said first context for said computing system effectively represented as a situation associated with said first state of use of said computing system, thereby allowing a pattern of use to be determined for said computing system at least based on the association of said first state of use with said first situation.

20. A method for determining a situational pattern of use for a computing system, said method comprising:

obtaining integrated state and contextual usage data for said computing system, wherein said integrated state and contextual usage data includes at least;

(a) a first state of use of said computing system and (b) a first context for said computing system effectively represented as a situation associated with said first state of use of said computing system, and thereby allowing a pattern of use to be determined for said computing system at least based on the association of said first state of use with said first situation; and

determining, based on said integrated state and contextual usage data, a situational pattern of use for said computing system by detecting that in said first situation said computing system has been used in accordance with said first state of use.

21. A method for allowing a pattern of use to be determined for a computing system, said method comprising:

obtaining a state of use for one or more usable components of said computing system as state of use information when said one or more usable components are being used, wherein said state of use information effectively indicates a first state of use of said one or more usable components of said computing system;

obtaining a context of use of said one or more usable components of said computing system as first contextual usage information when said one or more usable components are being used, wherein said first contextual usage information effectively defines and/or indicates a first situation in which said one or more usable components have been used; and

combining said first state of use information and first contextual usage information together to form integrated state and contextual usage data that effectively indicates that in said first situation said one or more useable components have been used in accordance with said first state of use, thereby allowing a pattern of use of said computing system to be determined at least based on the knowledge of the use of said one or more usable components in accordance with said first state in said first situation.

22. The method of claim 21, wherein said method further comprises:

transforming said integrated state and contextual usage information to a pattern extraction ready form which allows extraction of one or more patterns of use based on one or more pattern extraction techniques.

23. The method of claim 22, wherein said method further comprises:

extracting one or more patterns of use from said pattern extraction ready form based on one or more pattern extraction techniques; and

storing said one or more patterns of use as pattern of use data which can be accessed by one or more applications in order to obtain a likelihood of use and/or make predictions regarding the use of said computing system.

24. The method of claim 23, wherein obtaining said likelihood of use includes one or more of the following:

determining the likelihood of one or more applications being used in a particular situation;

determining the likelihood that of one or more applications are being used in accordance with one or more states of use; and

determining the likelihood that of one or more applications are being used in accordance with one or more states of use in one or more specific situations.

25. The method of claim 21, wherein said pattern extraction technique uses a co-clustering approach.

26. The method of claim 25, wherein said co-clustering approach uses a Minimum-Sum Squared Residue Co-clustering (MSSRCC) approach.

27. The method of claim 25, wherein said co-clustering approach uses an alternating minimization scheme to optimize both row and column dimensions of a matrix, and wherein a row matrix includes both state of use and context of use data.

28. A computer readable medium including computer program code for allowing a pattern of use to be determined for a computing system, wherein said computer readable medium includes:

computer program code for obtaining a state of use for one or more usable components of a computing system as state of use information when said one or more usable components are being used, wherein said state of use information effectively indicates a first state of use of said one or more usable components of said computing system;

computer program code for obtaining a context of use of said one or more usable components of said computing system as first contextual usage information when said one or more usable components are being used, wherein said first contextual usage information effectively defines and/or indicates a first situation in which said one or more usable components have been used; and

computer program code for combining said first state of use information and first contextual usage information together to form integrated state and contextual usage data that effectively indicates that in said first situation said one or more useable components have been used in accordance with said first state of use, thereby allowing a pattern of use of said computing system to be determined at least based on the knowledge of the use of said one or more usable components in accordance with said first state in said first situation.

29. A computer readable medium including computer program code for determining a pattern of use for a computing system, wherein said computer readable medium includes:

computer program code for obtaining integrated state and contextual usage data for said computing system, wherein said integrated state and contextual usage data includes at least;

(a) a first state of use of said computing system and (b) a first context for said computing system effectively represented as a situation associated with said first state of use of said computing system, thereby allowing a pattern of use to be determined for said computing system at least based on the association of said first state of use with said first situation; and

computer program code for determining, based on said integrated state and contextual usage data, a situational pattern of use for said computing system by detecting that in said first situation said computing system has been used in accordance with said first state of use.