Maylon Macedo’s research while affiliated with Federal University of São Paulo and other places

From a Human-Computer Interaction perspective, data visualizations are visual representations of data that improve users' cognitive capabilities during a task. In particular, UX data visibility can raise a team's engagement with the UX design and better inform product decisions. However, researchers and professionals lack a foundation to build new UX data visualizations. In this context, this paper describes a Systematic Mapping of the Literature that aims to consolidate the state of the art on UX data visualizations. To guide the open coding of the findings, we defined ten questions that span the Visual Information Seeking Mantra and the four levels of Munzner's analysis framework. We identified 28 well-known and seven custom chart formats, with the node-link diagram arising as the most popular. Most of the visualized data comes from software logs, and there is a lack of exploration of UX metrics, acoustic data, and demographic data as data sources. Regarding the Visual Information Seeking Mantra, visualizations had a zoom and filter function and a details on demand function for most chart formats. However, most chart formats lacked overview functions. Our findings provide a broad overview of the literature that can support the creation of new UX data visualizations.

Este trabalho tem como objetivo apresentar resultados parciais de um mapeamento sistemático da literatura de visualizações de dados sobre UX. A partir dos 57 artigos selecionados em nosso estudo, a análise preliminar revelou 32 tipos de gráficos, 10 fontes de dados usadas para construir as visualizações e 5 propósitos principais de uso das visualizações.

Information Visualization provides techniques to make better charts that enhance human perception about patterns in data and consequently support the user interpretation. In the educational area, visualizations help professionals to analyze a great amount of data to inform decisions to improve the learning­teaching process. The literature has shown that there is a gap in the development of educational data visualizations that fulfill end­user needs. This paper presents Vis2Learning: a scenario­based set of guidelines for the development of visualizations in the e­learning context. Vis2Learning provides a set of scenarios from which educational data visualizations can be developed, for each scenario, we provide the recommended chart, its aim, characteristics and examples of its application in the e­learning context. Besides, we provide a set of guidelines to improve users’ interaction with each chart. We applied an online questionnaire with 34 end­users (Brazilian teachers), evaluating visualizations that were created by using the Vis2Learning. The results reveal: (1) the visualizations, based on Vis2Learning, were more suitable to be applied in the e­learning context; (2) some non­traditional visualization formats are difficult to interpret by users who did not have previous experience with visualizations in the e­learning context; and (3) experience in teaching is not strictly related to knowledge of charts about educational data.