Uma proposta de dicionário de técnicas de visualização da informação, baseada em Treemap

Abstract

The interpretation and understanding of large quantities of data are challenges for users when interpreting the Information Visualization (VI) techniques, which is important as it makes the appropriate acquisition of the information through the visualization possible. The choice of the most appropriate information visualization method before commencing with the resolution of a given visual problem is primordial to obtaining an efficient solution. The implementation of the model involves choosing components and the architecture that stands its necessary functions effectively. This thesis has as its objective to describe an information visualization classification approach based on treemap, which is able to identify the best information visualization model for a given problem. From the treemap it is possible to elaborate strategy in the dictionary form of adequate Information Visualization techniques. Firstly, the actual state of the visualization field is described, and then the rules and criteria used in our research a program evaluating a new strategy for the presentation of visualization techniques are shown, able of detach and prioritizing the user interest techniques. Besides this, a comparative case study is presented with the information contained in another techniques visualization dictionary, the main correlate, called the Periodic Table of VI. The comparison is based on the usability and analysis of the cognitive complexity in the execution time of the user tasks in the information search. Finally, an evaluation of the results is presented through the experiments conducted with users and a comparative analysis of the techniques based on Treemap and the Periodic Table. The final results show that the VI Treemap presents itself as the best classification option regarding usability, availability and search performance, in relation to the other correlates work.