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This workshop will cover real-time computational techniques for the recognition and interpretation of human multimodal verbal and non-verbal behaviour, models of mentalising and empathising for interaction, and multimedia techniques for synthesis of believable social behaviour supporting human-agent and human-robot interaction.
A key aim of the workshop is the identification and investigation of important open issues in real-time, affect-aware applications 'in the wild' and especially in embodied interaction, i.e. with robots and embodied conversational agents. Issues such as natural and multimodal interaction, estimation and adaption to context, context dependent processing and related databases, HCI/HRI beyond emotion (cognition, behaviour, etc.), and best practices for applications in real environments will be discussed in the context of interacting with other humans and social artefacts.
We welcome the participation of researchers from diverse fields, including signal processing and pattern recognition, machine learning, cognition, affective science, human-computer interaction, human-robot interaction, and robotics. We hope an interdisciplinary group will benefit from mutual osmosis of ideas, concepts and developments in the field.
The workshop especially welcomes studies that provide new insights into the use of multimodal and multimedia techniques for enabling interaction between humans, robots, and virtual agents in naturalistic settings. We also encourage the submission of work-in-progress papers including recent results providing novel and exciting contributions.
Accepted papers will be published in the ACM Digital Library. A journal special issue is currently being planned. (Details forthcoming).
Authors may submit a pdf version of their paper using the ACM Multimedia 2010 paper submission system. Please note: The review process is double-blind, so please be sure to remove any identifying information before uploading your submission (name, affiliation, tell-tale references, etc).
IEEE Transactions on
Affective Computing
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