INSTITUTIONAL SEMINAR
Seminar: Quality Assessment in Narrative Visualizations
This Wednesday, June 18, the IMIT Institute presented a new institutional seminar entitled Quality Assessment in Narrative Visualizations: How to Distinguish Between Effective and Misleading Visualizations. The event was held in a hybrid format (in-person at the FaCENA Graduate Classroom and online via Google Meet). The topic addressed the crucial need to discern the quality and real impact of data visualizations in a world saturated with charts, dashboards, and infographics. A deep dive into data visualization.
The seminar explored the current challenges in evaluating narrative visualizations, those that combine data with communicative elements to tell a story or support decisions.
During the talk, key questions were answered, such as: What makes a visualization effective? How to identify common errors? And whether it is possible to systematically measure its quality.
Andrea presented NaVi-Q, an innovative evaluation model developed as part of her doctoral research, as a software tool. This model is designed to analyze narrative visualizations in real-life contexts, combining design principles, international standards, and empirical evidence to offer a structured way to evaluate the clarity, usefulness, and comprehension generated by different visualizations.
The talk was aimed at professionals who design, analyze, or consume data visualizations, offering concrete tools to improve the communication of complex information.
The presentation was led by Andrea Lezcano Airaldi, a CONICET fellow and PhD candidate in computer science from the Universidad Nacional del Nordeste. Her work focuses on the analysis and evaluation of narrative visualizations, and she is the creator and validator of the NaVi-Q model. Andrea, with a solid teaching and academic track record, has shared her progress in publications and at conferences both nationally and internationally.
This seminar represented an excellent opportunity to deepen knowledge and improve skills in effective data communication.
At IMIT, we appreciate the participation and interest shown by all attendees, reaffirming our commitment to disseminating knowledge and improving practices in the field of computer science.