posted by user: SvitoZar || 1334 views || tracked by 1 users: [display]

GENEA 2023 : Generation and Evaluation of Non-verbal Behaviour for Embodied Agents Workshop 2023

FacebookTwitterLinkedInGoogle

Link: https://genea-workshop.github.io/2023/workshop/
 
When Oct 9, 2023 - Oct 9, 2023
Where Paris
Abstract Registration Due Jul 19, 2023
Submission Deadline Jul 21, 2023
Notification Due Aug 4, 2023
Final Version Due Aug 11, 2023
Categories    virtual agents   gesture generation   animation   machine learning
 

Call For Papers

GENEA 2023 is the fourth GENEA Workshop and an official workshop of ACM ICMI ’23, which will take place in Paris, France. Accepted paper submissions will be included in the adjunct ACM ICMI proceedings.

Generating non-verbal behaviours, such as gesticulation, facial expressions and gaze, is of great importance for natural interaction with embodied agents such as virtual agents and social robots. At present, behaviour generation is typically powered by rule-based systems, data-driven approaches, and their hybrids. For evaluation, both objective and subjective methods exist, but their application and validity are frequently a point of contention.

This workshop asks, “What will be the behaviour-generation methods of the future? And how can we evaluate these methods using meaningful objective and subjective metrics?” The aim of the workshop is to bring together researchers working on the generation and evaluation of non-verbal behaviours for embodied agents to discuss the future of this field. To kickstart these discussions, we invite all interested researchers to submit a paper for presentation at the workshop.

PAPER TOPICS INCLUDE (BUT ARE NOT LIMITED TO) THE FOLLOWING
Automated synthesis of facial expressions, gestures, and gaze movements
Audio- and music-driven nonverbal behaviour synthesis
Closed-loop nonverbal behaviour generation (from perception to action)
Nonverbal behaviour synthesis in two-party and group interactions
Emotion-driven and stylistic nonverbal behaviour synthesis
New datasets related to nonverbal behaviour
Believable nonverbal behaviour synthesis using motion-capture and 4D scan data
Multi-modal nonverbal behaviour synthesis
Interactive/autonomous nonverbal behavior generation
Subjective and objective evaluation methods for nonverbal behaviour synthesis
Guidelines for nonverbal behaviours in human-agent interaction
We will accept long (8 pages) and short (4 pages) paper submissions, all in the same double-column ACM conference format as used by ICMI. Pages containing only references do not count toward the page limit for any of the paper types. Submissions should be formatted for double-blind review made in PDF format through OpenReview.

Submission site: https://openreview.net/group?id=ACM.org/ICMI/2023/Workshop/GENEA

To encourage authors to make their work reproducible and reward the effort that this requires, we have introduced the GENEA Reproducibility Award.

We will also host an open poster session for advertising your late-breaking results and already-published work to the community. No paper submission is needed to participate in the poster session, and these posters will not be part of any proceedings (non archival). Submission guidelines for the poster session will be available on the workshop website.

Related Resources

GEM shared task 2024   GEM 2024 multilingual data-to-text and summarization shared task
ECAI 2024   27th European Conference on Artificial Intelligence
LREC-COLING 2024   The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation
AIM@EPIA 2024   Artificial Intelligence in Medicine
LPNMR 2024   17th International Conference on Logic Programming and Non-monotonic Reasoning (LPNMR 2024)
ICMLA 2024   23rd International Conference on Machine Learning and Applications
EASE 2024   28th International Conference on Evaluation and Assessment in Software Engineering
ICDM 2024   IEEE International Conference on Data Mining
JSAI-ISAI 2024   16th JSAI International Symposia on AI
IJNGN 2024   International Journal of Next - Generation Networks