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 language | English |
|---|---|
| Title of host publication | Artificial Life and Intelligent Agents - Second International Symposium, ALIA 2016, Revised Selected Papers |
| Publisher | Springer |
| Pages | 143-147 |
| Number of pages | 5 |
| Volume | 732 |
| ISBN (Print) | 9783319904177 |
| DOIs | |
| Publication status | E-pub ahead of print - 19 Apr 2018 |
| Event | 2nd International Symposium on Artificial Life and Intelligent Agents, ALIA 2016 - Birmingham, United Kingdom Duration: 14 Jun 2016 → 15 Jun 2016 |
Publication series
| Name | Communications in Computer and Information Science |
|---|---|
| Volume | 732 |
| ISSN (Print) | 1865-0929 |
Conference
| Conference | 2nd International Symposium on Artificial Life and Intelligent Agents, ALIA 2016 |
|---|---|
| Country | United Kingdom |
| City | Birmingham |
| Period | 14/06/16 → 15/06/16 |
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Keywords
- Autonomic computing
- Decision support
- Ontologies
Cite this
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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 proceeding › Conference 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
AN - SCOPUS:85045983430
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 -