A methodological approach towards human-centered visual analytics

Visual analytics focuses on amplifying users’ reasoning and understanding by enhancing data analysis procedures with the efficient incorporation of information visualization and data processing techniques. In this study, we conduct an overview of this multidisciplinary field, focusing on both the process that formalizes its primary concepts and the affiliated research areas. We identify key developments in each area, as well as the challenges that arise when these areas are interconnected under the visual analytics process. We consider that to address the identified challenges, an appropriate representation of key user needs is essential. Therefore, inspired by human-centered design and its principles, we propose a novel methodological approach comprising a human-centered definition of visual analytics that expands on models of the field and quantifies the intermediate states of a data analysis. In addition to the theoretical aspects of the definition, we also provide a set of directions that align the process with technical aspects of the development cycle. In this respect, our research endeavor aims to transform the visual analytics process into an essential method for both conceptualizing data analysis systems capable of anticipating user needs and for streamlining their technical implementation. • Conducts an overview of Visual Analytics and its affiliated research fields. • Identifies main advances, as well as relative challenges. • Proposes a novel process that places the analytical reasoning of analysts at its core. • The process provides structure to the analysis by quantifying its intermediate states. • Discusses on directions to support the process and its technical implementation.