Konversatorium on Friday, October 11, 2019 - 10:30
A Visual Exploration Tool for Temporal Analysis of Customer Reviews (DAAV)
Noticing trends in customer review changes over time is a difficult task. Finding a visualisation method that is able to convey large amount of information and aid people to conclusions about content changes over time, is the goal of the thesis. 2D visualisation techniques are used to present content changes in real-life restaurant customer reviews. The developed prototype tool and its techniques are evaluated by test users, who try to gain insights on an example data-set, aiming to distinguish trends, reach conclusions and get proper understanding of the market. The evaluation results are studied and compared in order to determine the tool’s practical usefulness and future improvements.
Formal Comparison of Matrix- and List-Based Visualizations of Bipartite Graphs (DAAV)
Parallel lists and biadjacency matrices are the most popular ways of visualizing bipartite graphs but little is known which visual representation is suitable for different tasks and data characteristics. Answering this question depends on many factors - size of the graph, graph density, degrees of the vertices, etc. To be able to suggest a suitable visual representation, the two visualization techniques are compared with respect to accuracy and effectiveness. In order to answer the question, a user study will be conducted with up to five independent variables. After the user study, quantitative measures of participants’ time and errors for each task will be analysed for both visualization techniques.