All Stories

  1. Cross-Sensory Comparison of EEG Signals for Brain-Based Information Retrieval
  2. Towards Inclusive Retrieval-Augmented Generation: Challenges and Opportunities for Cognitively Impaired Users
  3. Using Electroencephalography for Query Performance Prediction
  4. Predicting Expectancy Violations Using Eye-Tracking Features: A Machine Learning Approach
  5. Towards Brain Passage Retrieval: An Investigation of EEG Query Representations
  6. Brain-Machine Interfaces & Information Retrieval Challenges and Opportunities
  7. Report on the 3rd Workshop on NeuroPhysiological Approaches for Interactive Information Retrieval (NeuroPhysIIR 2025) at SIGIR CHIIR 2025
  8. Prediction of the Realisation of an Information Need: An EEG Study
  9. Understanding Feeling-of-Knowing in Information Search: An EEG Study
  10. Podify: A Podcast Streaming Platform with Automatic Logging of User Behaviour for Academic Research
  11. Why People Skip Music? On Predicting Music Skips using Deep Reinforcement Learning
  12. White Box: On the Prediction of Collaborative Filtering Recommendation Systems’ Performance
  13. Drivers of Information Needs: A Behavioural Study – Exploring Searcher's Feeling-of-Knowing
  14. A Game Theory Approach for Estimating Reliability of Crowdsourced Relevance Assessments
  15. Information Need Awareness
  16. On Skipping Behaviour Types in Music Streaming Sessions
  17. Are we there yet? Estimating Training Time for Recommendation Systems
  18. Influence of Bigrams on Information Retrieval Bias and Effectiveness
  19. The Cortical Activity of Graded Relevance
  20. Looking for Opportunities
  21. Towards Predicting a Realisation of an Information Need based on Brain Signals
  22. Learning to Geolocalise Tweets at a Fine-Grained Level
  23. Search Process as Transitions Between Neural States