Understanding Collaborative Sensemaking Behaviour using Semantic Types in Interaction Data

摘要

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.