Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Adaptive interface for personalizing information seeking.

S Narayanan1, Lavanya Koppaka, Narasimha Edala

  • 1Department of Biomedical, Industrial and Human Factors Engineering, Wright State University, Dayton, Ohio 45435, USA. snarayan@cs.wright.edu

Cyberpsychology & Behavior : the Impact of the Internet, Multimedia and Virtual Reality on Behavior and Society
|February 3, 2005
PubMed
Summary

Adaptive interfaces personalize information seeking by creating user profiles to guide users to relevant data sources. This system enhances knowledge discovery and navigation within large data warehouses.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Structure of Complex Liquid-Liquid Extraction Organic Phases for Rare Earth Separations.

Langmuir : the ACS journal of surfaces and colloids·2026
Same author

Effects of emotional spillover and exposure to interparental psychological aggression on momentary physiological linkage during naturalistic couple conflicts.

Biological psychology·2026
Same author

Motor imagery and self-recognition from actions.

NeuroImage·2025
Same author

Extracted Water Induces Concentration Fluctuations in Model Ternary Liquid-Liquid Extraction System.

The journal of physical chemistry. B·2025
Same author

Excipient Lung Disease and Fatal Outcome Among Young Adults: A Case Series on the Hidden Dangers of Intravenous Drug Abuse in India.

Annals of African medicine·2025
Same author

Initiation of H1-T6SS dueling between <i>Pseudomonas aeruginosa</i>.

mBio·2024

Area of Science:

  • Human-Computer Interaction
  • Information Science
  • Computer Science

Background:

  • Adaptive interfaces autonomously adjust to user goals and abilities by assessing status, task, and context.
  • Knowledge content adaptability is crucial for knowledge acquisition and refinement, emphasizing information elicitation and interaction pattern analysis.
  • Current adaptive interfaces aim to facilitate information search and knowledge discovery.

Purpose of the Study:

  • To present research on adaptive interfaces for personalized information seeking from large data warehouses.
  • To introduce a proof-of-concept system, the Source Recommendation System (SRS), designed to aid users in locating and navigating data sources.
  • To demonstrate how user profiles can be refined to guide users to appropriate sources within a knowledge base.

Main Methods:

Related Experiment Videos

  • Developing a Source Recommendation System (SRS) that analyzes user queries and search result content to create tailored user profiles.
  • Implementing SRS as an Internet browser plug-in for a seamless and personalized user experience.
  • Refining user profiles successively to progressively guide users through the knowledge base.

Main Results:

  • The SRS system successfully generates and refines user profiles based on interaction patterns and initial queries.
  • The system effectively guides users to relevant data sources within a large data warehouse.
  • Empirical evaluation demonstrates the system's efficacy in personalized information seeking.

Conclusions:

  • Adaptive interfaces, like the SRS, can significantly enhance personalized information seeking and knowledge discovery.
  • The SRS approach offers a practical solution for navigating large data repositories.
  • Further research into adaptive interfaces can improve user experience and information access.