Context-aware Adaptive Visualizations for Critical Decision Making
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arXiv
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| Autores principales: | , , , , , , , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866908653605355520 |
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| author | Lopez-Cardona, Angela Bruns, Mireia Masias Attygalle, Nuwan T. Idesis, Sebastian Salvatori, Matteo Raftopoulos, Konstantinos Oikonomou, Konstantinos Duraisamy, Saravanakumar Emami, Parvin Latreche, Nacera Sahraoui, Alaa Eddine Anis Vakallelis, Michalis Vanderdonckt, Jean Arapakis, Ioannis Leiva, Luis A. |
| author_facet | Lopez-Cardona, Angela Bruns, Mireia Masias Attygalle, Nuwan T. Idesis, Sebastian Salvatori, Matteo Raftopoulos, Konstantinos Oikonomou, Konstantinos Duraisamy, Saravanakumar Emami, Parvin Latreche, Nacera Sahraoui, Alaa Eddine Anis Vakallelis, Michalis Vanderdonckt, Jean Arapakis, Ioannis Leiva, Luis A. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_11476 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Context-aware Adaptive Visualizations for Critical Decision Making Lopez-Cardona, Angela Bruns, Mireia Masias Attygalle, Nuwan T. Idesis, Sebastian Salvatori, Matteo Raftopoulos, Konstantinos Oikonomou, Konstantinos Duraisamy, Saravanakumar Emami, Parvin Latreche, Nacera Sahraoui, Alaa Eddine Anis Vakallelis, Michalis Vanderdonckt, Jean Arapakis, Ioannis Leiva, Luis A. Human-Computer Interaction Artificial Intelligence 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. |
| title | Context-aware Adaptive Visualizations for Critical Decision Making |
| topic | Human-Computer Interaction Artificial Intelligence |
| url | https://arxiv.org/abs/2511.11476 |