Submission Instructions

We solicit papers describing empirical research (complete or in progress) as well as position papers proposing a particular methodology or approach. We will also solicit previously published work for presentation if it involves robots and is likely to be unfamiliar to the IVA community. Submissions will be accepted both as full papers of up to 6 pages and as extended abstracts of up to 2 pages. All papers and proposals for presentations will be peer reviewed by a program committee made up of researchers with expertise on this topic. In particular, we will be looking for papers which:

  • Propose or describe novel methodologies for producing “face-to-face” interaction behaviors for robots and/or virtual agents
  • Investigate similarities or differences between interacting with virtual agents and physical robots
  • Provide an overview of an area of human-robot interaction and robotics research which is relevant to the IVA community
  • Describe the application of models or architectures developed for virtual agents to producing interactive behavior for robots or vice versa

The papers should be submitted to in PDF format. Accepted submissions will be made available on the workshop website. The papers should be formatted according to the requirements for Springer’s Lecture Notes in Computer Science (LNCS). Submitted papers should be limited to 2-6 pages maximum.

The primary list of topics covers the following points (but is not limited to):
•             synchronizing verbal and nonverbal behaviour
•             AI for autonomous interaction dialogue management for embodied agents and robots
•             design of hybrid and/or “migrating” embodiments
•             producing expressive gestures
•             evaluating embodied interaction
•             fostering long term acceptance of and attachment to embodied agents
•             expression and perception of socio-emotional states
•             multi-party human-robot-agent interaction
•             blending realities: robots and agents understanding and reacting to virtual and real events