Search
 
loader loading subjects...
cover
Understanding Collaborative Sensemaking Behaviour using Semantic Types in Interaction Data
L.M.S. Lau, V.G. Dimitrova, F. Yang-Turner, M. Tzagarakis, N. Karacapilidis, S. Christodoulou
190 - 199
10.3233/978-1-61499-405-3-190
Frontiers in Artificial Intelligence and Applications
Volume 262: Smart Digital Futures 2014
Abstract

This paper presents a trial study to gain insight into collaborative sensemaking behaviour. We use a generic argumentation tool to capture interaction data, which is then analyzed by exploiting collaboration-specific semantic types. A Community Behaviour Analytics Tool, CommBAT, was developed. Further studies were conducted to visualize the different patterns in the collaborative behaviour. Initial findings show the power of semantics in helping to detect a series of sensemaking behaviour patterns.

$35.00 / €27.50 / £22.00
Add PDF to cart