Interactive Machine Learning

With the convergence of Artificial intelligence (AI) and Machine Learning (ML) Interactive Machine Learning (IML) is where the Human-Computer Interaction (HCI) community meets the ML community, with contributions from related fields such as cognitive science, computer graphics, design or the arts, and natural language processing, data mining, knowledge representation and reasoning. Our focus is to improve the interaction between humans and machines, by leveraging both more traditional HCI approaches, as well as solutions that involve state-of-the art ML techniques.


Ongoing Research Projects

Facetted Search

As medical records may cover a very long history of diseases (up to 30 years) and include a vast number of diagnoses, symptoms, results, medications, and laboratory values, we could highly benefit from advanced search Read more…


Handwriting Spellchecker

In comparison to typing, handwriting stimulates different parts of the human brain and brings into play a very different cognitive process. Many of today’s tasks benefit from digitalization and digitization of handwriting input and with Read more…


Multi-Sketch Recognition

Many of todays processes benefits from digitization and digitalization of written content when it comes to data aquisition for machine learning tasks. Through the use of state of the art handwriting and gesture recognition we Read more…



In Kognit (2014–2015), we enter the mixed reality realm for helping dementia patients. Dementia is a general term for a decline in mental ability severe enough to interfere with daily life. Memory loss is an Read more…

Interactive Machine Learning Group

German Research Center for Artificial Intelligence (DFKI)


German Research Center for Artificial Intelligence
Stuhlsatzenhausweg 3
Saarland Informatics Campus, Geb. D 3_2
D-66123 Saarbrücken

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