NDLI: Knowledge acquisition using neural networks for intelligent interface design

Content Provider	IEEE Xplore Digital Library
Author	Eberts, R.
Copyright Year	1991
Description	Author affiliation: Sch. of Ind. Eng., Purdue Univ., West Lafayette, IN, USA (Eberts, R.)
Abstract	Several methods for using neural net models for intelligent interface design are investigated. All of the methods use a bottom-up approach in which the intelligence incorporated into the interface is based upon the inputs from individual users. In the first piece of research, the input came from the mental and external operators, closely coupled to the keystrokes, and these were mapped to high-level cognitive goals. In the second piece of research, the input came from individual commands and these were mapped to the efficiency of the command sequences. In the last piece of research, information from bulletin board messages could be filtered by using the dictionary of words from the messages and outputting the subcategory. This experimentation demonstrates some of the possibilities of using neural nets in intelligent interfaces: the neural net can extract information from the user, such as cognitive goals, strategies, command sequences, and information needs, which can be used to provide intelligent advice to the user or to filter intelligently the incoming information.
Starting Page	1331
Ending Page	1335
File Size	442435
Page Count	5
File Format	PDF
ISBN	0780302338
DOI	10.1109/ICSMC.1991.169873
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1991-10-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Knowledge acquisition Neural networks Intelligent networks Computer interfaces Intelligent systems Computer aided manufacturing Industrial engineering Computer networks Information filtering Information filters
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A Framework For Using A Case Based Reasoning System Applied To Cost Estimation

Knowledge selection with neural networks

Nonlinear adaptive digital filters using parallel neural networks

Knowledge-based user interface migration

A design methodology of intelligent neuro-fuzzy system model using an improved max-min CRI method

Intelligent FMS scheduling using modular neural networks

A Neural Network Aided Target Tracking Algorithm Using Angular Measurements

Knowledge framework for intelligent manufacturing systems

Koba4MS: selling complex products and services using knowledge-based recommender technologies

Knowledge acquisition using neural networks for intelligent interface design

Similar Documents

A Framework For Using A Case Based Reasoning System Applied To Cost Estimation

Knowledge selection with neural networks

Nonlinear adaptive digital filters using parallel neural networks

Knowledge-based user interface migration

A design methodology of intelligent neuro-fuzzy system model using an improved max-min CRI method

Intelligent FMS scheduling using modular neural networks

A Neural Network Aided Target Tracking Algorithm Using Angular Measurements

Knowledge framework for intelligent manufacturing systems

Koba4MS: selling complex products and services using knowledge-based recommender technologies

Knowledge acquisition using neural networks for intelligent interface design