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Automotive IUI


Dr. Michael Feld is working as a full-time researcher in the DFKI’s Automotive IUI Group. In 2011, he finished his PhD on the topic "A Speaker Classification Framework for Non-intrusive User Modeling: Speech-based Personalization of In-Car Services". A major part of his work focuses on the topics of human-machine interfaces and user modelling, in particular user adaptation and personalization, as well as speech-based classification. Further research interests include application architecturing, parallel programming and mobile devices.

Michael joined DFKI in early 2005 as a student research assistant. After finishing his Diploma thesis in Computer Science at Saarland University in 2006, he became a full-time researcher in the Intelligent User Interfaces (IUI) department headed by Prof. Wolfgang Wahlster. Since then, he has been involved in several projects working in key areas such as automotive user interfaces, speech technologies and speaker classification, personalization, smart energy, and mobile devices. The most notable work was done in projects COLLATE, CARMINA, and SiAM. Other projects he has been working on include COLLATE, SBC, NetShield, EMERGENT, HEMS, and GetHomeSafe. He has also been part of the Chair of Prof. Wahlster, teaching and assisting with lectures and seminars until today.

In the field of speaker classification, Michael has been working closely together with Dr. Christian Müller. One of his main accomplishments was the design and development of a complete framework for all tasks related to speech-based classification supporting specialized algorithms, strict resource requirements and flexible deployment. His PhD thesis (graded Magna Cum Laude) follows up closely in on this, using the architecture to explore new methods that produce even better classification results. The results were subsequently used in multiple projects.

In SiAM, Michael is leading the development of a new situation-aware multi-modal dialogue platform named SiAM-dp. He is responsible for the overall architecture and coordination within the dialogue platform aspects within SiAM. He also has a special focus on situation adaptation and personalization aspects of the Human/Machine Interface (HMI; i.e. GUI, speech, tangible interfaces...). For this purpose, he is exploring new possibilities of adaptation and customization of in-car services to user and context parameters, thereby incorporating innovative methods of information acquisition and inference. A particular focus is on speech as an input source, but also taken into account are the passengers' tasks/goals, preferences, abilities, roles, and usage data.


Please refer to the list of publications.