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GENEA Workshop 2021: The 2nd Workshop on Generation and Evaluation of Non-verbal Behaviour for Embodied Agents
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0001-9838-8848
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0000-0003-3687-6189
Electronics and Telecommunications Research Institute, Korea.ORCID iD: 0000-0003-4286-3421
Ghent University, Belgium.ORCID iD: 0000-0002-7420-7181
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2021 (English)In: Proceedings of ICMI '21: International Conference on Multimodal Interaction, Association for Computing Machinery (ACM) , 2021, p. 872-873Conference paper, Published paper (Refereed)
Abstract [en]

Embodied agents benefit from using non-verbal behavior when communicating with humans. Despite several decades of non-verbal behavior-generation research, there is currently no well-developed benchmarking culture in the field. For example, most researchers do not compare their outcomes with previous work, and if they do, they often do so in their own way which frequently is incompatible with others. With the GENEA Workshop 2021, we aim to bring the community together to discuss key challenges and solutions, and find the most appropriate ways to move the field forward.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM) , 2021. p. 872-873
Keywords [en]
behavior synthesis, datasets, evaluation, gesture generation, Behavior generation, Dataset, Embodied agent, Non-verbal behaviours, Behavioral research
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-313185DOI: 10.1145/3462244.3480983ISI: 001438610800125Scopus ID: 2-s2.0-85118969127OAI: oai:DiVA.org:kth-313185DiVA, id: diva2:1663434
Conference
ICMI '21: International Conference on Multimodal Interaction, Montréal, QC, Canada, October 18-22, 2021
Note

Part of proceedings ISBN 9781450384810

QC 20220602

Available from: 2022-06-02 Created: 2022-06-02 Last updated: 2025-12-05Bibliographically approved

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Kucherenko, TarasJonell, PatrikHenter, Gustav Eje

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Kucherenko, TarasJonell, PatrikYoon, YoungwooWolfert, PieterHenter, Gustav Eje
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Robotics, Perception and Learning, RPLSpeech, Music and Hearing, TMH
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