Cappelletti, MiltonMonteiro, Pedro Sesinando Palla e Carmo2025-11-072025-11-072025-09http://hdl.handle.net/10400.26/59560This project helps to close the gap in design-oriented research on the integration of human cognition and neuroscience into data visualization design. It makes the case that generating more useful and easily available data representations depends on matching visualizations with human visual perception and cognitive processes. Two main goals were followed by the research: first, to investigate the degree to which Eurostat's Instagram data visualizations embrace ideas of human visual perception and cognition; second, to propose an original Perceptual-Cognitive Data Visualization Framework. This framework helps designers create cognitively accessible visuals and offers a means of neurologically evaluating their effectiveness — including stylistic risk evaluation. Applying the proposed framework on Eurostat's visualizations revealed its simplicity and efficiency in spotting and fixing problems compromising communicative efficacy. The research ends with underlining the need of human cognitive comprehension for the design of data visualization. Future research should concentrate on verifying the framework by means of professional assessment in several environments, including integration of neuroscientific expertise, and the creation of an interactive version to lower cognitive load for its users.engData visualizationVisual perceptionCognitionFrameworkInstagramEurostatmaster thesis204043581