Winter School 2017

Winter School on Human Computer Interaction in the Age of Artificial Intelligence: Challenges in Interacting with Social Media and Complex Information

The amount of information captured in our daily lives has become huge and complex. Mobile sensing and computing technologies allow continuous capturing and sharing of data ranging from sensor data to media content such as photos and videos. Usage of data and media consumption has become truly ubiquitous and is embedded in everyday actions. Understanding this information and making sense of it is a key challenge that is becoming increasingly important for the entire population. Machine learning and artificial intelligence provide many opportunities for automation and personalization of media and interfaces. This enables amazingly targeted user experience but at the same time introduces the risk of creating personal bubbles and echo-chambers.

User interfaces and interaction mechanisms combined with machine learning and AI techniques have a strong impact on how we capture information, how we perceive it, how we make sense of it, and how we share it with others. As more and more of our perception is mediated through computing technologies it becomes important that the designers and developers of data-heavy applications understand the implications of their designs, its implementations, and the impact of automation steps used. The main purpose of this winter school is to teach human-computer interaction in the context of complex information systems and to educate students on how to design and develop efficient and enjoyable interfaces that enable the interaction with complex information and ubiquitous media.

Our teaching focus is interaction with ubiquitous computing systems. We address the following areas:

  • An Introduction to AI and machine learning for human-computer interaction
  • An Introduction to human-computer interaction in the context of complex and ubiquitous media
  • Interfaces that combine explicit interaction, activity awareness, and machine learning
  • Selection, navigation, and filtering of semantically-rich large data sets
  • Novel user interfaces for mobile, wearable, and embedded platforms
  • User-centered design in the context of large and complex information spaces
  • Prototyping ubiquitous computing and ubiquitous media interfaces and interaction for large data volumes
  • Evaluation of ubiquitous media interfaces and quantification of interface design decisions

These topics will be addressed in a series of lectures covering relevant methods, concepts, and technologies. Practical knowledge in topics such as physiological sensing, gaze interaction, and machine learning will be acquired in hands-on tutorials.


  • Prof. Dr.-Ing. Thomas Herrmann , Ruhr-University of Bochum, Germany
  • Prof. Dr. Paul Lukowicz, DFKI Kaiserslautern, Germany
  • Prof. Dr. Albrecht Schmidt, University of Stuttgart, Germany
  • Prof. Dr. Jürgen Scheible, Stuttgart Media University, Germany
  • Prof. Dr. Thomas Olsson, Tampere University of Technology, Finland
  • Prof. Dr. Jonna Häkkilä, University of Lapland, Finland
  • Dr. Stefan Schneegass, University of Stuttgart, Germany
  • Dr. Pawel Wozniak, University of Stuttgart, Germany
  • Dr. Andreas Bulling, Max Planck Institute for Informatics, Germany
  • Dr. Christin Seifert, University of Passau, Germany



Impressions from the Winterschool 2016


Application and Fee

The fee for participation is 100€ per participants. The registration fee covers participation in all lectures, accommodation for 7 nights in shared rooms, and breakfast and dinner. If you plan to go skiing, additional costs may arise. Language of instruction is English. If more people register than there are places available, we will prioritize applications of students who conduct a PhD that is closely related to the topic of the winterschool.

Fill in the following form to register:

Venue and Travel

The Venue is Söllerhaus – a small family run hotel with lecture rooms – situated in the Kleinwalsertal just above Hirschegg, directly in the skiing area Heuberg. Snow permitting one can ski directly from the front door.

Söllerhaus ( is reachable by public transport. The next train station is Obersdorf/Allgäu (Germany) and there is a bus to Hirschegg, which run several times per hour and takes about 30 minutes. Participants will have to organize their own travel from and to the winterschool. We will help to coordinate this.

Information about the skiing area can be found at:

Travel information to Söllerhaus (in German)


The winter school is supported by the following European projects: Amplify and Cimplex.