GCG aviator: A decision support agent for career management

Alina Patelli*, Peter R. Lewis, Hai Wang, Ian Nabney, David Bennett, Ralph Lucas

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

    Abstract

    Intelligent decision support agents work with heterogeneous information that is constantly changing. They are expected to process that information autonomously and produce results in a form that is easy to understand by a human user. Similarly, online career information is published by different authors in various formats and is subject to continuous editing. Online career advice seekers should be informed by an intuitive, easy to explore view of available career resources. We propose Aviator, a career guidance agent that collates relevant data from different sources, allows viewers to conveniently explore as well as edit that data and provides a means for personalising the users’ interaction with the system. We describe, justify and evaluate Aviator’s features to highlight their usefulness with providing efficient support for career decisions.

    Original languageEnglish
    Title of host publicationArtificial Life and Intelligent Agents - Second International Symposium, ALIA 2016, Revised Selected Papers
    EditorsChristopher J. Headleand, Panagiotis D. Ritsos, Steve Battle, Peter R. Lewis
    PublisherSpringer Verlag
    Pages143-147
    Number of pages5
    ISBN (Print)9783319904177
    DOIs
    Publication statusPublished - 2018
    Event2nd International Symposium on Artificial Life and Intelligent Agents, ALIA 2016 - Birmingham, United Kingdom
    Duration: 14 Jun 201615 Jun 2016

    Publication series

    NameCommunications in Computer and Information Science
    Volume732
    ISSN (Print)1865-0929

    Conference

    Conference2nd International Symposium on Artificial Life and Intelligent Agents, ALIA 2016
    Country/TerritoryUnited Kingdom
    CityBirmingham
    Period14/06/1615/06/16

    Keywords

    • Autonomic computing
    • Decision support
    • Ontologies

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