Crossmodal Learning in Humans and Robots

Crossmodal learning refers to the adaptive, synergistic synthesis of complex perceptions from multiple sensory modalities, such that the learning that occurs within any individual sensory modality can be enhanced with information from one or more other modalities. Crossmodal learning is a broad, interdisciplinary topic that has not yet coalesced into a single, unified field. Instead, there are many separate fields, each tackling the concerns of crossmodal learning from its own perspective, with currently little overlap.

By bringing together researchers from different universities and different countries, all with outstanding expertise in crossmodal learning, the panel discussion will enable a multilayered analysis of current developments, new findings, theories and systems. The debate moderated by Professor Frank Steinicke, Universität Hamburg, Germany, will ensure an engaging and critical discussion by leading experts in their fields.

Join the panel discussion with:

Dezhen Song, PhD
Professor of Computer Science and Engineering, Texas A&M University

Jianwei Zhang, PhD
Professor of Computer Science, Universität Hamburg

Zhigang Zhu, PhD
Professor of Computer Science, City College of New York

moderated by

Frank Steinicke, PhD
Professor for Human-Computer Interaction, Universität Hamburg