Context-aware Adaptive Visualizations for Critical Decision Making
Angela Lopez-Cardona, Mireia Masias Bruns, Nuwan T. Attygalle, Sebastian Idesis, Matteo Salvatori, Konstantinos Raftopoulos, Konstantinos Oikonomou, Saravanakumar Duraisamy, Parvin Emami, Nacera Latreche, Alaa Eddine Anis Sahraoui, Michalis Vakallelis, Jean Vanderdonckt

TL;DR
This paper introduces Symbiotik, a real-time, neurophysiologically driven adaptive visualization system that enhances decision-making by dynamically adjusting dashboards based on users' mental workload, validated through extensive user studies.
Contribution
It presents a novel neuroadaptive visualization framework using reinforcement learning to tailor visual data displays in real time based on cognitive state.
Findings
Improved task performance with adaptive dashboards
Increased user engagement and satisfaction
Validated methodology for neuroadaptive interfaces
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' cognitive 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 visualization types, we demonstrate that our approach improves task performance and engagement. Symbiotik offers a scalable, real-time adaptation architecture, and a validated methodology for neuroadaptive user interfaces.
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Taxonomy
TopicsData Visualization and Analytics · Personal Information Management and User Behavior · Usability and User Interface Design
