DocumentCode :
2263431
Title :
A framework to leverage domain expertise to support novice users in the visual exploration of Home Area Networks
Author :
Yuqian Song ; Keeney, John ; Conlan, Owen
Author_Institution :
Sch. of Comput. Sci. & Stat., Trinity Coll. Dublin, Dublin, Ireland
fYear :
2012
fDate :
16-20 April 2012
Firstpage :
550
Lastpage :
553
Abstract :
Advances in modern technologies have afforded end-users increased convenience in performing everyday activities. However, even seemingly trivial issues can cause great annoyance for the ordinary user who lacks domain expertise of the often complex systems that underpin these advances. A key challenge lies in assisting non-expert users to express their requirements of an obscure and complex system. This research proposes a semantic approach by using domain expert knowledge to enable real time semantic up-lift in supporting novice end-users to understand and control the complex dynamic systems they must manage. This presents a significant opportunity to increase user satisfaction and reduce associated support costs. This semantic approach has been designed and implemented in an early prototype of our Home Area Network Monitoring System (HANMS). This paper presents a detailed description of the current state of the research, an initial evaluation, and future work.
Keywords :
computer network management; expert systems; large-scale systems; local area networks; HANMS; complex dynamic systems; domain expert knowledge; domain expertise; home area network monitoring system; novice end user support; real time up-lift; user satisfaction; visual exploration; Antennas; Knowledge engineering; Monitoring; Prototypes; Real time systems; Semantics; Visualization; formatting; insert; style; styling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network Operations and Management Symposium (NOMS), 2012 IEEE
Conference_Location :
Maui, HI
ISSN :
1542-1201
Print_ISBN :
978-1-4673-0267-8
Electronic_ISBN :
1542-1201
Type :
conf
DOI :
10.1109/NOMS.2012.6211953
Filename :
6211953
Link To Document :
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