System and method for dynamic assistance in software applications using behavior and host application models

• US 7,047,498 B2
• Filed: 11/20/2001
• Issued: 05/16/2006
• Est. Priority Date: 05/07/1999
• Status: Expired due to Fees

• Current Assignee: KNOA Software Incorporated
• Original Assignee: Knoa Corporation
• Inventors: Lui, Philip, Kopytnik, Zbigniew
• Primary Examiner(s): Kincaid, Kristine
• Assistant Examiner(s): PESIN, BORIS M
• Application Number:
  US09/989,716
• Publication Number:
  US 20020118220A1
• Time in Patent Office: 1,638 Days
• Field of Search: 345/709, 345/711, 345/473, 345/708, 345/794, 345/707, 715/762, 715/763
• US Class Current: 715/762
• CPC Class Codes: G06F 9/453 Help systems

Abstract

A Cooperative Help Assistance (CHA) system and method provide real-time user assistance for one or more windows-based Graphic User Interface (GUI) applications or a single application'"'"'s different subsections such as web pages, running concurrently in any operating system. The CHA System enables the development of an informative assistance object independently from the original source code or development environment of the target Host Application. The assistance object can be selected by any number of user interfaces from sophisticated inference driven interactive interface search tools or categorized lists. By intercepting and monitoring user actions on a Host Application, the CHA system performs intelligent assistance in the context of the target host application program. Utilizing a Host Application Model, the CHA System and method dynamically assemble many elements in real-time or just-in-time to produce assistance sequences or elements very efficiently without having to code every interface path permutation. Paths can be dynamically generated from the Host Application Model, which enables a real-time module to offer intelligent, contextual assistance as well as real-time construction of automated, accelerated CHA Sequences or Procedures that require little or no user interaction. All assistance and information are processed and expressed by an extensive multitasking, multimedia subsystem for two dimensional (2D) and real-time three-dimensional (3D) application interfaces, which greatly enhances and extends the effectiveness of any explanation or material expression. The production of Assistant Sequences is facilitated by the Host Application Model and 2D and 3D GUI “drag and drop” interface tools.

Claims

1. A method of identifying logical patterns from a set of a user'"'"'s inputs to a computer host application, the method comprising the steps of:

storing in a database a host application model, the model including a GuiFramework that models the host application interface controls that reflect the different states of the host application;

extracting the GuiFramework from the database and expanding the GuiFramework into an interlinked, indexed network structure in memory;

intercepting, during execution of the host application, one or more operating system messages to obtain information relating to a plurality of the user'"'"'s inputs;

polling the user inputs to detect user activation of an interface device;

creating, upon detection of the user'"'"'s activation, an action structure that includes status flags to mark structures;

accumulating the action structure in a database;

searching the accumulated action structures to detect sequences capable of being processed into an interactive custom accelerated procedure (ICAP); and

generating the ICAP to automate the detected sequences.

2. The method of claim 1, wherein the operating system messages include data events pertaining to session control information.

3. The method of claim 1, wherein the interface device includes a mouse roller ball, a mouse button, or a keyboard.

4. The method of claim 1, wherein the GuiFramework describes at least an interface hierarchy, and the searching step further comprises the step of searching for continuities of events that pass through consecutive portions of the interface hierarchy.

5. The method of claim 1 further comprising the steps of:

providing an initial index that points to potential sequences detected during the searching step;

removing extraneous pointer device movements from the accumulated action structures; and

identifying a sequence that is a series of actions that accesses or navigates a frequent host application path.

6. The method of claim 5, further including the step of the user inputting optional directives that assist later analysis.

7. The method of claim 1, wherein the GuiFramework models navigational states of the host application.