Interactive Platform for Surveys in Information Visualisation

Barbara Nascimento Ramos, João Miguel Cunha, Evgheni Polisciuc

Abstract: Conventional literature review platforms typically present data in static formats, restricting users from fully exploring complex, multivariate information and hindering their ability to stay up-to-date with evolving research. A way to address this involves the development of interactive platforms that enable users to dynamically explore data and the addition of new information. In this paper, we analyse existing platforms, identifying key features that improve data visualisation and interaction. Our analysis is used to support the proposal of a novel interactive survey platform aimed at improving the analysis and exploration of bibliographic data using various visualisation and interactivity techniques. The proposed platform integrates data representation approaches, such as grids, distribution charts, and tree diagram, and interaction techniques like filtering, selecting, and reconfiguring data layouts. To assess the usability of the platform, we applied it to a specific scenario –