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Executive Director DFKI Niedersachsen & Head of the Research Department Interactive Machine Learning

Prof. Dr.-Ing. Daniel Sonntag

Organizational unit Interactive Machine Learning
Contact +49 681 85775 5254 (Saarbrücken)

https://www.dfki.de/~sonntag
Address (Saarbrücken) Gebäude D3 1Stuhlsatzenhausweg 366123 Saarbrücken Address (Oldenburg) Technologie- und Gründerzentrum OldenburgMarie-Curie-Str. 126129 Oldenburg
Prof. Dr.-Ing. Daniel Sonntag

Publications

All publications
  1. Eliciting Multimodal Approaches for Machine Learning--Assisted Photobook Creation

    Sara-Jane Bittner; Michael Barz; Daniel Sonntag

    In: Carmelo Ardito; Simone Diniz Junqueira Barbosa; Tayana Conte; André Freire; Isabela Gasparini; Philippe Palanque; Raquel Prates (Hrsg.). Human-Computer Interaction -- INTERACT 2025. IFIP Conference on Human-Computer Interaction (INTERACT-2025), 20th IFIP TC 13 International Conference, Belo Horizonte, Brazil, September 8–12, 2025, Proceedings, Part II, September 8-12, Belo Horizonte, Brazil,…
  2. Gaze-Based Menu Navigation in Virtual Reality: A Comparative Study of Layouts and Interaction Techniques

    László Kopácsi; Albert Klimenko; Abdulrahman Mohamed Selim; Michael Barz; Daniel Sonntag

    In: Carmelo Ardito; Simone Diniz Junqueira Barbosa; Tayana Conte; André Freire; Isabela Gasparini; Philippe Palanque; Raquel Prates (Hrsg.). Human-Computer Interaction -- INTERACT 2025. IFIP Conference on Human-Computer Interaction (INTERACT-2025), 20th IFIP TC 13 International Conference, Belo Horizonte, Brazil, September 8–12, 2025, Proceedings, Part I, September 8-12, Belo Horizonte, Brazil,…

Profile

  • No-IDLE

    Interactive Deep Learning Enterprise

    In recent years, machines have surpassed humans in the performance of specific and narrow tasks such as some aspects of image recognition or decision making along clinical pathways in the medical…

    No-IDLE
  • MASTER

    MASTER: Mixed reality ecosystem for teaching robotics in manufacturing

    Many industries are transitioning to Industry 4.0 production models by adopting robots in their processes. In parallel, Extended Reality (XR) technologies have reached sufficient maturity to enter the…

    MASTER
  • Ophthalmo-AI

    Intelligent, Cooperative Medical Decision Support in Ophthalmology

    The goal of Ophthalmo-AI is to develop better diagnostic and therapeutic decision support in ophthalmology through effective collaboration of machine and human expertise (Interactive Machine Learning…

    Ophthalmo-AI
  • pAItient

    Protected Artificial Intelligence Innovation Environment for Patient Oriented Digital Health Solutions for developing, testing and evidence based evaluation of clinical value.

    Developments in recent years, such as low-cost hardware for enormous computing power and machine learning techniques, have given AI new impetus in medicine as well, and in many medical application…

  • XAINES

    Explaining AI with Narratives

    In the XAINES project, the aim is not only to ensure explainability, but also to provide explanations (narratives). The central question is whether AI can explain in one sentence why it acted the way…

    XAINES
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