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Department of Computer Science

Dagstuhl Seminar on Neurophysiological Signals for Information Interaction: Foundations and Futures

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Seminar to establish neurophysiological information interaction as a coherent, interdisciplinary, and impactful research frontier.

This Dagstuhl five-day seminar aims to bring together researchers from information retrieval, human–computer interaction, neuroscience, cognitive science, artificial intelligence, and ethics, many of whom do not typically meet within the same venues, to address the absence of a unified, field-level effort to position neurophysiological signals as a foundational component of information interaction.

The seminar will move beyond fragmented studies and define the foundations of neurophysiological information interaction as a rigorous and reproducible field. In particular, the seminar will focus on three interconnected objectives: (i) establishing theoretical models linking neurophysiological signals to core concepts such as relevance, satisfaction, and uncertainty; (ii) developing reproducible pipelines, multimodal fusion techniques, benchmarks, and evaluation paradigms that account for both system performance and cognitive outcomes; and (iii) defining frameworks for transparency, fairness, mental privacy, and inclusive system design.

 

Organizers

  • Jacek Gwizdka - University of Texas, Austin, US
  • Sven Mayer - TU Dortmund University, Dortmund, DE
  • Yashar Moshfeghi - University of Strathclyde, Glasgow, GB
  • Min Zhang - Tsinghua University, Beijing, CN

Website: www.dagstuhl.de/en/seminars/seminar-calendar/seminar-details/27082