The 1st workshop on the representation, sharing and evaluation of multimodal agent interaction invites submissions of long and short papers focusing on advancement in multimodal data collection for conversational AI. Papers can cover experimental, theoretical research, systems, tools, platforms, datasets, and/or practical engineering challenges. We invite researchers and developers to share with us how and why they record multimodal interactions, whether their data can be shared or combined with other data, how systems can be trained and evaluated and how results can be reproduced.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. We invite work-in-progress submissions, blue-sky papers and demonstrations. Submitted papers should conform to the latest ACM LaTeX or Word publication format. For LaTeX templates and examples, please click on the following link: https://www.acm.org/publications/taps/word-template-workflow, download the zip package entitled Primary Article Template - LaTeX. The review will be blind (one-way anonymized review). Proceedings will be published through arXiv by each individual author and links to the papers will be hosted on the workshop website. The following paper categories are welcome:

• Full papers may consist of up to 8 pages of content, plus unlimited pages of references.
• Posters may consist of up to 4 pages of content, plus unlimited pages of references.

List of Topics

• Capturing and aligning signals
• Signal annotation and interpretation
• Representation of multimodal interaction
• Standardization of representations
• Types of interactions: purposeful, entertaining
• Evaluating interactions
• Simulation for training and evaluation
• Inspiring interactive challenges and benchmarks
• Tools and platforms for building interactive agents
• Sharing of data and agents
• Data privacy

Committees

Program Committee

• TBD

Organizing committee

• Piek Vossen, Vrije Universitet Amsterdam, piek.vossen@vu.nl
• Catharine Oertel, Delft University of Technology, C.R.M.M.Oertel@tudelft.nl
• Sean Andrist, Microsoft, sandrist@microsoft.com
• André Pereira, KTH Royal Institute of Technology, atap@kth.se
• Hayley Hung, Delft University of Technology, h.hung@tudelft.nl
• Daniel Balliet, Vrije Universitet Amsterdam, d.p.balliet@vu.nl

Contact

All questions about submissions should be emailed to piek.vossen@vu.nl