METHOD AND SYSTEM FOR TASK MODELING OF MOBILE PHONE APPLICATIONS

• US 20100235808A1
• Filed: 03/10/2010
• Published: 09/16/2010
• Est. Priority Date: 03/12/2009
• Status: Active Grant

• Current Assignee: Deutsche Telekom AG
• Original Assignee: Deutsche Telekom AG
• Inventors: SCHNEIDER, Lutz, HENKE, Katja, LEVY, Meira, SHAPIRA, Bracha, SHOVAL, Peretz, MIMRAN, David, DAYAN, Aviram, TUBI, Meytal, GLASS, Gregor
• Granted Patent: US 8,776,009 B2
• Time in Patent Office: Days
• US Class Current: 717/104
• CPC Class Codes: G06F 11/3438 monitoring of user actions tracking the activity of the user H04L67/535

Abstract

A system for task modeling interactive sequential applications for one or more mobile devices, which comprises a software tool for defining a generic meta-model of the target applications, wherein the generic meta-model consist of a static model of application components, and a dynamic model of IDs of application screens and connections; a passive TM database for storing the generic meta-model for future reuse, which further comprises static instances of the generic meta-model specifically generated for a variety of mobile devices; a tracker module for real-time monitoring and creating unique ID for each application'"'"'s screen visited by the user of the mobile device, wherein created IDs are used for generating active models of the user actual use; and an active TM database for storing the active models, wherein data transferring and storing is minimized to screen ID numbers.

Claims

1. A system for task modeling interactive sequential applications for one or more mobile devices, comprising:

a. a software tool for defining a generic meta-model of the target applications, wherein said generic meta-model consist of a static model of application components, and a dynamic model of IDs of application screens and connections;

b. a passive TM database for storing said generic meta-model for future reuse, which further comprises static instances of the generic meta-model specifically generated for a variety of mobile devices;

c. a tracker module for real-time monitoring and creating unique ID for each application'"'"'s screen visited by the user of said mobile device, wherein created IDs are used for generating active models of the user actual use; and

d. an active TM database for storing said active models, wherein data transferring and storing is minimized to screen ID numbers.

2. A system according to claim 1, wherein the mobile device is a SMOB phone.

3. A system according to claim 1, wherein the screen ID number is the screen signature.

4. A system according to claim 1, wherein the mobile device further comprises a real-time recommender engine, for offering the client real-time help, marketing and content determined by the provider.

5. The system according to claim 2, wherein the real-time recommendation is based on the tracked data and relevant passive TMs downloaded to the mobile device.

6. A system according to claim 1, further comprising an analyzer, that receives data from both passive and active databases and compares said databases for generating an output database.

7. The system according to claim 4, wherein the output database comprises the usage patterns, error patterns, user'"'"'s intention prediction, market trends, and usability problems, in addition to graphs and reports for helping providers realizing customers'"'"' activities and behavior.

8. A method for modeling interactive sequential applications for smart devices, comprising the steps of a. generating a static model describing all goals of target applications using their screens, SIEs, transitions between screens, sub-goals and the links between them;

b. building a dynamic model based on said static model by tracking the use of the application screens over an actual device;

c. creating instances of said static and dynamic models specifically generated for a variety of devices;

d. storing said static and dynamic models with their instances into a passive TM database;

e. downloading relevant passive TMs to client'"'"'s device according its type and the application supported by it;

f. tracking in real-time clients'"'"' activities and generating a unique ID for each screen that is captured; and

g. storing said tracked model into an active TM database.

9. A method according to claim 8, further comprising verifying the screen ID before storing in active TM database for validating the tracking.

10. A method according to claim 8, further comprising offering the client real-time help, marketing and content determined by the provider, based on the tracked data and relevant passive TMs downloaded to client'"'"'s device.

11. A system according to claim 8, further comprising analyzing data by comparing said passive and active databases, for generating an output database comprises usage patterns, error patterns, user'"'"'s intention prediction, market trends, and usability hotspots (problems) in addition to graphs and reports for helping providers realizing customers'"'"' activities and behavior,

12. A method according to claim 8, wherein the static and dynamic models are in the form of an Entity Relationship Diagram (ERD), and implemented in a relational database.