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

Detalhes bibliográficos
Ano de defesa: 2018
Autor(a) principal: Oliveira, Eduardo Chagas de
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Uberlândia
Brasil
Programa de Pós-graduação em Engenharia Elétrica
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: https://repositorio.ufu.br/handle/123456789/24168
http://dx.doi.org/10.14393/ufu.te.2018.915
Resumo: 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.