CFP：Collective States in Multimodal Interaction
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井上昂治
Jul 10, 2026, 7:44:36 AM (13 days ago) Jul 10
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dialog-jaの皆様
国際会議ICMIにてWorkshopを開催いたします。
論文〆切まであと１週間となりましたのでお知らせいたします。
ご検討のほどよろしくお願いします。
We invite you to submit your unpublished work to the Workshop on Collective States in Multimodal Interaction, to be held in conjunction with the 28th ACM International Conference on Multimodal Interaction (ICMI 2026) in Napoli, Italy. The workshop will take place on Oct 9th 2026. Accepted papers will be presented at the workshop.
Understanding collective states in group interaction is an emerging challenge at the intersection of multimodal AI, communication science, and social signal processing. While a large body or prior work has focused on individuals or dyads, many real-world settings, such as meetings, brainstorming sessions, and collaborative human-AI teams, depend on group-level phenomena such as collective engagement, shared attention, group affect, rapport, cohesion, and coordination. Recent progress in multimodal sensing and agentic AI creates new opportunities to model how these collective states arise, evolve, and influence individual behavior within groups.
This workshop focuses on multi-party intersection settings in which AI systems must not only sense individuals, but also understand emergent group dynamics and, potentially, support them as peers or facilitators. The goal is to bring together researchers across artificial intelligence, multimodal interaction, and organization and communication science to advance methods, benchmarks, and applications for sensing and reasoning about collective states.
Topics of interest include, but not limited to:
Multimodal sensing and modeling of collective states in group interaction
Group-level phenomena such as collective engagement, shared attention, group affect, rapport, cohesion, and coordination
Links between individual participant states and emergent group dynamics
Audio, video, language, physiological, and behavioral cues for multiparty interaction analysis
Multimodal fusion and temporal modeling for group behavior understanding
Annotation schemes, datasets, and benchmarks for collective states
AI agents as peers or facilitators in human-AI hybrid teams
Adaptive systems for improving participation, coordination, brainstorming, and collaboration
Explainability, robustness, fairness, privacy, and ethics in group sensing
Applications in meetings, education, healthcare, robotics, organizational settings, and other collaborative environments
We invite authors to submit papers in accordance with the ICMI formats and guidelines. Submissions will undergo peer review by the workshop program committee. The review process will be double-blind. Further information about formatting, submission instructions, and presentation format will be announced on the workshop website.
Important Dates:
Paper Submission Deadline July 17th, 2026 (End of Day, Anywhere on Earth)
Paper Notification July 27th, 2026
Camera Ready August 2nd, 2026
Workshop Day October 9th, 2026
Understanding collective states in group interaction is an emerging challenge at the intersection of multimodal AI, communication science, and social signal processing. While a large body or prior work has focused on individuals or dyads, many real-world settings, such as meetings, brainstorming sessions, and collaborative human-AI teams, depend on group-level phenomena such as collective engagement, shared attention, group affect, rapport, cohesion, and coordination. Recent progress in multimodal sensing and agentic AI creates new opportunities to model how these collective states arise, evolve, and influence individual behavior within groups.
This workshop focuses on multi-party intersection settings in which AI systems must not only sense individuals, but also understand emergent group dynamics and, potentially, support them as peers or facilitators. The goal is to bring together researchers across artificial intelligence, multimodal interaction, and organization and communication science to advance methods, benchmarks, and applications for sensing and reasoning about collective states.
Topics of interest include, but not limited to:
Multimodal sensing and modeling of collective states in group interaction
Group-level phenomena such as collective engagement, shared attention, group affect, rapport, cohesion, and coordination
Links between individual participant states and emergent group dynamics
Audio, video, language, physiological, and behavioral cues for multiparty interaction analysis
Multimodal fusion and temporal modeling for group behavior understanding
Annotation schemes, datasets, and benchmarks for collective states
AI agents as peers or facilitators in human-AI hybrid teams
Adaptive systems for improving participation, coordination, brainstorming, and collaboration
Explainability, robustness, fairness, privacy, and ethics in group sensing
Applications in meetings, education, healthcare, robotics, organizational settings, and other collaborative environments
We invite authors to submit papers in accordance with the ICMI formats and guidelines. Submissions will undergo peer review by the workshop program committee. The review process will be double-blind. Further information about formatting, submission instructions, and presentation format will be announced on the workshop website.
Important Dates:
Paper Submission Deadline July 17th, 2026 (End of Day, Anywhere on Earth)
Paper Notification July 27th, 2026
Camera Ready August 2nd, 2026
Workshop Day October 9th, 2026
====================================================== 井上 昂治 京都大学 大学院情報学研究科 助教 TEL 075-753-5396 Koji Inoue, Ph. D. Assistant Professor, Graduate School of Informatics, Kyoto University, Japan TEL +81-75-753-5396 ======================================================
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