GCG aviator

A decision support agent for career management

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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
PublisherSpringer
Pages143-147
Number of pages5
Volume732
ISBN (Print)9783319904177
DOIs
Publication statusE-pub ahead of print - 19 Apr 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
CountryUnited Kingdom
CityBirmingham
Period14/06/1615/06/16

Fingerprint

Aviators
Decision Support
User Interaction
Justify
Guidance
Intuitive
Resources
Evaluate

Keywords

  • Autonomic computing
  • Decision support
  • Ontologies

Cite this

Patelli, A., Lewis, P. R., Wang, H., Nabney, I., Bennett, D., & Lucas, R. (2018). GCG aviator: A decision support agent for career management. In Artificial Life and Intelligent Agents - Second International Symposium, ALIA 2016, Revised Selected Papers (Vol. 732, pp. 143-147). (Communications in Computer and Information Science; Vol. 732). Springer. https://doi.org/10.1007/978-3-319-90418-4_13
Patelli, Alina ; Lewis, Peter R. ; Wang, Hai ; Nabney, Ian ; Bennett, David ; Lucas, Ralph. / GCG aviator : A decision support agent for career management. Artificial Life and Intelligent Agents - Second International Symposium, ALIA 2016, Revised Selected Papers. Vol. 732 Springer, 2018. pp. 143-147 (Communications in Computer and Information Science).
@inproceedings{86eae825ecd149ce90d04587b4d81470,
title = "GCG aviator: A decision support agent for career management",
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.",
keywords = "Autonomic computing, Decision support, Ontologies",
author = "Alina Patelli and Lewis, {Peter R.} and Hai Wang and Ian Nabney and David Bennett and Ralph Lucas",
year = "2018",
month = "4",
day = "19",
doi = "10.1007/978-3-319-90418-4_13",
language = "English",
isbn = "9783319904177",
volume = "732",
series = "Communications in Computer and Information Science",
publisher = "Springer",
pages = "143--147",
booktitle = "Artificial Life and Intelligent Agents - Second International Symposium, ALIA 2016, Revised Selected Papers",
address = "Germany",

}

Patelli, A, Lewis, PR, Wang, H, Nabney, I, Bennett, D & Lucas, R 2018, GCG aviator: A decision support agent for career management. in Artificial Life and Intelligent Agents - Second International Symposium, ALIA 2016, Revised Selected Papers. vol. 732, Communications in Computer and Information Science, vol. 732, Springer, pp. 143-147, 2nd International Symposium on Artificial Life and Intelligent Agents, ALIA 2016, Birmingham, United Kingdom, 14/06/16. https://doi.org/10.1007/978-3-319-90418-4_13

GCG aviator : A decision support agent for career management. / Patelli, Alina; Lewis, Peter R.; Wang, Hai; Nabney, Ian; Bennett, David; Lucas, Ralph.

Artificial Life and Intelligent Agents - Second International Symposium, ALIA 2016, Revised Selected Papers. Vol. 732 Springer, 2018. p. 143-147 (Communications in Computer and Information Science; Vol. 732).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - GCG aviator

T2 - A decision support agent for career management

AU - Patelli, Alina

AU - Lewis, Peter R.

AU - Wang, Hai

AU - Nabney, Ian

AU - Bennett, David

AU - Lucas, Ralph

PY - 2018/4/19

Y1 - 2018/4/19

N2 - 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.

AB - 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.

KW - Autonomic computing

KW - Decision support

KW - Ontologies

UR - http://www.scopus.com/inward/record.url?scp=85045983430&partnerID=8YFLogxK

UR - https://link.springer.com/chapter/10.1007/978-3-319-90418-4_13

U2 - 10.1007/978-3-319-90418-4_13

DO - 10.1007/978-3-319-90418-4_13

M3 - Conference contribution

SN - 9783319904177

VL - 732

T3 - Communications in Computer and Information Science

SP - 143

EP - 147

BT - Artificial Life and Intelligent Agents - Second International Symposium, ALIA 2016, Revised Selected Papers

PB - Springer

ER -

Patelli A, Lewis PR, Wang H, Nabney I, Bennett D, Lucas R. GCG aviator: A decision support agent for career management. In Artificial Life and Intelligent Agents - Second International Symposium, ALIA 2016, Revised Selected Papers. Vol. 732. Springer. 2018. p. 143-147. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-319-90418-4_13