Context-Aware Adaptive Visualizations for Critical Decision Making

Lopez-Cardona, Angela;Masias Bruns, Mireia;Attygalle, Nuwan;Idesis, Sebastian;Leiva, Luis;et.al.
(2025) p. 5116-5119 (2025)

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Abstract
Effective decision-making often relies on timely insights from complex visual data. While Information Visualization (InfoVis) dashboards can support this process, they rarely adapt to users' cog-nitive state, and less so in real time. We present SYMBIOTIK, an intelligent , context-aware adaptive visualization system that leverages neurophysiological signals to estimate mental workload (MWL) and dynamically adapt visual dashboards using reinforcement learning (RL). Through a user study with 120 participants and three visual-ization types, we demonstrate that our approach improves task performance and engagement. SYMBIOTIK offers a scalable, real-time adaptation architecture, and a validated methodology for neuroadap-tive user interfaces.
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Lopez-Cardona, A., Masias Bruns, M., Attygalle, N., Idesis, S., Salvatori, M., Raftopoulos, K., Oikonomou, K., Duraisamy, S., Emami, P., Latreche, N., Sahraoui, A. E. A., Vakalellis, M., Vanderdonckt, J., Arapakis, I., & Leiva, L. (2025). Context-Aware Adaptive Visualizations for Critical Decision Making. 5116-5119. https://doi.org/10.3233/faia251433 (Original work published 2025)