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Previous issue date: 2018-04-12 / 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. / A an?lise de dados de m?dias sociais tem sido uma pr?tica crescente, tornando a visualiza??o de dados um aspecto importante no contexto de apresenta??o dos grandes volumes de dados tipicamente extra?dos dessas m?dias. Um dos desafios nesta ?rea est? na apresenta??o eficiente desses grandes volumes de dados, provendo t?cnicas que apoiem os processos de design, an?lise e compreens?o destes dados. Avan?ando neste sentido, esta tese apresenta o CIViS, um modelo de design de interface customiz?vel para apoiar a constru??o de visualiza??es narrativas interativas de dados extra?dos de m?dias sociais. Trata-se de um modelo descritivo, fundamentado na teoria da Engenharia Semi?tica e sua vis?o sobre End-user Development, assim como em conceitos de visualiza??o narrativas. O modelo considera que o analista de dados de m?dias sociais tem interesse em organizar a apresenta??o de seus dados de forma a contar uma hist?ria com eles. Assim, o CIViS prop?e um conjunto de componentes que estruturam o espa?o de design, tendo o prop?sito de auxiliar designers e analistas de dados co-designers a refletirem sobre diferentes aspectos que influenciam a constru??o de visualiza??es narrativas interativas customiz?veis. Realizamos quatro estudos e, a partir da triangula??o dos resultados, obtivemos subs?dios para a consolida??o da ideia do modelo, dando prosseguimento ? sua cria??o. Ap?s a concep??o do modelo CIViS, realizamos um estudo com foco no uso do modelo por analistas de dados de m?dias sociais. Com a conclus?o do estudo de uso do CIViS, obtivemos resultados que sinalizam formas pertinentes de representar aspectos relevantes de narrativas. Tamb?m verificamos que o modelo ? satisfatoriamente descritivo para auxiliar no design de visualiza??es, sejam elas narrativas ou n?o. Por fim, apresentamos o potencial valor epist?mico do CIViS, considerando que seu uso pode instigar discuss?es e reflex?es importantes durante o processo de design de visualiza??es narrativas interativas customiz?veis, atendendo tanto designers quanto co-designers em seu car?ter epist?mico.
Identifer | oai:union.ndltd.org:IBICT/oai:tede2.pucrs.br:tede/8170 |
Date | 12 April 2018 |
Creators | Santos, Caroline Queiroz |
Contributors | Silveira, Milene Selbach |
Publisher | Pontif?cia Universidade Cat?lica do Rio Grande do Sul, Programa de P?s-Gradua??o em Ci?ncia da Computa??o, PUCRS, Brasil, Escola Polit?cnica |
Source Sets | IBICT Brazilian ETDs |
Language | Portuguese |
Detected Language | Unknown |
Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/doctoralThesis |
Format | application/pdf |
Source | reponame:Biblioteca Digital de Teses e Dissertações da PUC_RS, instname:Pontifícia Universidade Católica do Rio Grande do Sul, instacron:PUC_RS |
Rights | info:eu-repo/semantics/openAccess |
Relation | 1974996533081274470, 500, 500, -862078257083325301 |
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