Flensburg Symposium on Human Computer Interaction and Deep Learning

Zwei Menschen vor einem Computerbildschirm. Die Person rechts hält eine Art Joystick in der Hand.
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D building, room D325

This symposium is dedicated to fostering scientific exchange among researchers and practitioners engaged in Human-Computer Interaction (HCI) and Deep Learning (DL), with a particular emphasis on exploring the synergy between these fields.

Topics include, but are not limited to:

  • Human factors in Deep Learning and Artificial Intelligence (AI)
  • Interpretability and understanding of deep neural networks
  • The role of HCI and DL in knowledge generation and acquisition
  • Dataset bias and its implications for AI outcomes
  • Challenges in deployment and the integration of user feedback
  • Applications of data-driven models in new and existing scenarios

The detailed programme is still in planning and will be published on this page shortly. Stay tuned!

Call for Papers

If you feel addressed and would like to contribute a short talk or a paper presentation, please contact Marc Aubreville. Please also forward this information to interested colleagues.

  • Programme

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      • D building, room D325
        Block 1: Human Computer Interaction
         
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      • D building, room D325
        Cognitive Pitfalls in Human-AI Interaction: A Pathology Case Study
        • Emely Rosbach (THI)  
      • D building, room D325
        CAPTN X-Ferry: Acceptance of Autonomous Ferries by Passengers and Maritime Personnel
      • D building, room D325
        Human-Machine Collaboration: Active Learning to Enhance Annotation Impact
        • Jingna Qiu (FAU)  
    • -
      • D building, room D325
        Lunch break
         
    • -
      • D building, room D325
        Poster session
         
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      • D building, room D325
        Block 2: Interaction with Deep Learning Models
         
      • D building, room D325
        NLPsych: Interpretier- und Erklärbarkeit von Natural Language Processing für psychologisch-metrische Diagnostik (Keynote)
        • Dirk Johannßen  
      • D building, room D325
        Peering inside the black box: Insights into object detection for pathology
        • Jonas Ammeling  
      • D building, room D325
        50 Shades of Truth: Establishing Reliable Ground Truths for computational pathology
        • Jonathan Ganz  
      • D building, room D325
        AI-agent training and evaluation in simulated environments: Opportunities and Challenges