Explore the forefront of artificial intelligence with the “Machine Learning for Multimodal Interaction” proceedings from MLMI 2008. This essential volume showcases 12 reviewed full papers and 15 poster papers, alongside 5 contributions on user requirements for multimodal assistants, meticulously selected from 47 submissions. Delve into cutting-edge research on modeling human-human communication, advanced human-computer interaction, and the analysis of diverse communication modalities. Key topics include non-verbal cue analysis, social signal processing, communicative content understanding, audio-visual scene analysis, speech processing, and the development of interactive systems. Perfect for researchers and developers seeking to advance multimodal interaction technologies.