Within the framework of the Call for Challenges at ICMI 2012, the D-META Grand Challenge proposes to set up the basis for comparison, analysis, and further improvement of multimodal data annotations and multimodal interactive systems. Such machine learning-based  challenges do not exist in the Multimodal Interaction community. The main goal of this Grand Challenge is to foster research and development in multimodal communication and to further elaborate algorithms and techniques for building various multimodal applications. Held by two coupled pillars, method benchmarking and annotation evaluation, the D-META challenge envisions a starting point for transparent and publicly available application and annotation evaluation on multimodal data sets.

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