Modeling Eye, Brain, Speech, and Behavioral Signals for Cognitive Resource Allocation
The workshop convenes signal processing experts, cognitive neuroscientists, and HCI researchers to explore how multimodal signals can be measured and predicted, how modalities interact in shaping attention, and how targeted interventions might optimize cognitive resource distribution.
Advanced algorithms for detecting attentional states and predicting cognitive load from multimodal physiological signals.
Innovative use of eye-tracking "in the wild" to support acoustic processing and reveal cognitive states in real-time.
Building intelligent systems that respond dynamically to users' cognitive capacity and attention allocation patterns.
Translating attention monitoring technologies for ADHD assessment, cognitive rehabilitation, and mental health support.
| Time | Session | Details |
|---|---|---|
| 9:00 - 9:15 | Opening & Welcome | Workshop introduction and objectives |
| 9:15 - 10:00 | Keynote 1 | Matthew H. Davis (MRC Cognition and Brain Sciences Unit, University of Cambridge) "Multimodal measures of speech understanding in typical and impaired individuals" |
| 10:00 - 10:30 | Paper Presentations 1 | 2 papers × 15 minutes (12 min presentation + 3 min Q&A) |
| 10:30 - 11:00 | Coffee Break | Networking and demonstrations |
| 11:00 - 11:45 | Keynote 2 | Diako Mardanbegi (AUB & Google) "The Quantified Mind: AI, Attention, and the Fusion of Continuous Biosignals" |
| 11:45 - 12:15 | Paper Presentations 2 | 2 papers × 15 minutes |
| 12:15 - 14:30 | Lunch Break | Lunch and informal discussions |
| 14:30 - 15:15 | Keynote 3 | Pawel Kasprowski (Silesian University) "Chaos Detection in Biological Signals" |
| 15:15 - 16:00 | Paper Presentations 3 | 3 papers × 15 minutes |
| 16:00 - 16:30 | Coffee Break | Networking and poster viewing |
| 16:30 - 17:00 | Panel Discussion | Industry and academic experts discuss future of attention-aware computing |
| 17:00 - 17:45 | Poster Session & Closing | Best paper awards and future directions |
Signal processing techniques for identifying attention distribution across modalities, including neural oscillations, eye movements, speech prosody, and behavioral markers.
Algorithms for continuous assessment of cognitive resources, including low-latency processing, adaptive filtering, and personalized baselines for individual differences.
Innovative systems including hearing aids with EEG/eye-tracking, adaptive AR/VR interfaces, and educational platforms optimized for sustained attention.
Interventions for optimizing cognitive resources through neurofeedback, optimal timing of information delivery, and closed-loop attention management systems.
Tools for ADHD assessment, attention-aware learning systems, cognitive load balancing in high-stakes professions, and workplace burnout prevention.
Guidelines for cognitive enhancement technologies, privacy in attention monitoring, and responsible development of attention-modulating systems.

MRC Unit, University of Cambridge
Adaptive proc. of spoken language
"Multimodal measures of speech"
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AUB & Google Research
Eye-tracking and LLM Integration
"The Quantified Mind"
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Silesian University of Technology
Biomedical Signal Processing
"Chaos Detection in Biological Signals"
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Associate Professor
DTU Compute, Technical University of Denmark
Human-Centered AI, Eye Tracking, Cognitive Neuroscience
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Postdoc Researcher
DTU Compute, Technical University of Denmark
Machine Learning, Biomedical Signal Processing
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Postdoc Researcher
DTU & Cambridge Digital Humanities
Computer Vision, Human-Robot Interaction
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The workgroup is sponsored by Novo Nordisk Foundation through a “Data Science Collaborative Research Programme 2022” grant with agreement No. NNF22OC0076877 .
We invite original research papers addressing topics related to MSPARC. Papers should follow the ICASSP 2026 format and will be published in IEEE Xplore. Submissions should be a maximum of 4 pages + 1 page for references. Please follow the templates provided in the Paper Kit. Do not use the templates from ICASSP 2025. The CFP flyer can be downloaded here.
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We gratefully acknowledge the support of our sponsors who make this workshop possible.
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