With this workshop we plan to bring together researchers from different disciplines around signal processing, machine learning, computer vision and robotics with application in HRI/HCI fields, as related to multimodal and multi-sensor processing. During the last decades, an enormous number of socially interactive systems have been developed constituting the field of Human-Computer and Human -Robot Interaction (HCI/HRI) an actual motivating challenge. This challenge has become even greater, due to the relocation of such systems outside the lab environment and into real use cases. The growing potential of multimodal interfaces in human-robot and human-machine communication setups has stimulated people’s imagination and motivated significant research efforts in the fields of computer vision, speech recognition, multimodal sensing, fusion,and human-computer interaction (HCI) and nowadays lies at the heart of such interfaces. In parallel we are interested in applications of multimodal modeling, fusion and recognition when seen from an interdisciplinary perspective such as assistive, clinical, affective and psychological aspects e.g. dealing for instance with cognitive and/or mobility impairments. From the robotics perspective, designing and controlling robotic devices constitutes an emerging research field on its own. The integration with multimodal machine learning models pose many challenging scientific and technological problems that need to be addressed in order to build efficient and effective interactive robotic systems.