Browse Prior Art Database

Scheme for Context-Sensitive "Intelligent" Help

IP.com Disclosure Number: IPCOM000104124D
Original Publication Date: 1993-Mar-01
Included in the Prior Art Database: 2005-Mar-18
Document File: 2 page(s) / 55K

Publishing Venue

IBM

Related People

Knauth, JG: AUTHOR [+4]

Abstract

Disclosed is a scheme for context-sensitive intelligent help. This method of help extends beyond the normal bounds of field-sensitive, or context-sensitive help to allow users to select multiple objects or fields on a screen, and receive help information on these objects. The help information presented changes depending on the combination of objects selected and the current state of the system.

This text was extracted from an ASCII text file.
This is the abbreviated version, containing approximately 52% of the total text.

Scheme for Context-Sensitive "Intelligent" Help

      Disclosed is a scheme for context-sensitive intelligent help.
This method of help extends beyond the normal bounds of
field-sensitive, or context-sensitive help to allow users to select
multiple objects or fields on a screen, and receive help information
on these objects.  The help information presented changes depending
on the combination of objects selected and the current state of the
system.

      This improved method of providing help enables users to get the
specific information they need based on the current system state.  It
is often difficult for users to apply canned or static help
information to their specific situations.

      It allows users to get help on multiple objects at one time;
therefore, benefiting from additional information that might be
available (and stored in rules) about the combination of objects that
was selected.

      Therefore, help information is customized to the users needs.
The information display is determined by two inputs:

o   the fields selected
o   a set of rules that determines what help should be given for a
    given set of selected fields in various states.

The above described method leads to an implementation of static
intelligent help.  The system is not a self-learning intelligent
system in which the rule base would change.  An extension to this
method is to add time variant state variables to the rules that are
used to determine what help is presented.  An example of a time
variant state variable is...