Civis : modelo de design de interface customizável para apoiar a construção de visualizações narrativas interativas de dados extraídos de mídias sociais

Abstract

The analysis of data from social media has been a growing practice, making data visualization an important aspect in the context of presenting the large volumes of data typically extracted from these media. One of the challenges in this area is the efficient presentation of these large volumes of data, providing techniques that support the design processes, analysis and understanding of these data. Moving forward in this direction, this thesis presents CIViS, a customizable interface design model to support the construction of interactive narrative visualizations of data extracted from social media. It is a descriptive model, based on the theory of Semiotic Engineering and its view on End-user Development, as well as on narrative visualization concepts. The model considers that the social-media data analyst has interest in organizing his/her data presentation in such a way to tell a story with them. Thus, CIViS proposes a set of components that structure the design space, with the purpose of assisting designers and data analysts as co-designers to reflect on different aspects that influence the construction of customizable interactive narrative visualizations. We carried out four studies and, based on the results triangulation, we obtained the bases for consolidating the idea of the model, continuing with its creation. After conceiving the CIViS model, we conducted a study focusing on the use of the model by social-media data analysts. With the conclusion of the study of use of the CIViS, we obtained results that indicate pertinent ways of representing relevant narrative aspects. We have also verified that the model is satisfactorily descriptive to assist in the design of visualizations, whether narrative or not. Finally, we present the potential epistemic value of the CIViS, considering that its use can instigate important discussions and reflections during the process of designing customizable interactive narrative visualizations, assisting both designers and co designers in its epistemic character.