June 2025

Multimodal Interaction Analytics for Hybrid Intelligence Interactive Event

at the Hybrid Human-Artificial Intelligence (HHAI) Conference 2025,

Pisa, Italy

A half-day summit of talks, activities, and interactive workshops

The primary goal of this workshop is to provide participants with a deep understanding of multimodal interaction analytics and its potential to enhance hybrid intelligence systems. Multimodal interaction analytics (MIA) provides a powerful framework for analyzing and optimizing human-AI interactions by capturing and integrating data from various sources, such as speech, gesture, eye movement, and physiological responses. This workshop is designed to explore the role of MIA in supporting hybrid human-AI systems, with a focus on enhancing educational and collaborative environments. Participants will be introduced to the latest methodologies in MIA, including the design and implementation of interaction analytics approaches and techniques, as well as the ethical considerations related to multimodal data use. The workshop will also feature hands-on sessions where participants will engage with multimodal data collection and analysis, allowing them to apply MIA in practical scenarios.

Tentative Program

Duration Activity

10 minutes Welcome & Introduction

25 minutes Keynote – Multimodal Interaction Analytics (MIA) for HI

45 minutes Research Showcases

45 minutes MIA for HI Walkthrough

90 minutes Roundtable Discussion on future research directions and collaborations

10 minutes Conclusion & Closing

Call for Presentation

We invite participants to contribute to our interactive event by submitting either an abstract (presentation only) or a workshop paper (to be published in the collected volume of the HHAI 2025 Workshop and Tutorial Proceedings under CEUR-WS).

Participants can choose from the following submission types:

Abstract (250 words): An abstract should concisely summarize your research focus or, if more suitable, highlight a selection of relevant studies within the field of hybrid intelligence.
Short Paper (5–9 pages): A short paper should present work-in-progress findings or pilot study results that contribute to the evolving research landscape in hybrid intelligence.
Full Research Paper (10–12 pages): A full research paper should present comprehensive study results, including theoretical advancements, empirical findings, or methodological innovations that make a significant contribution to the field of hybrid intelligence.

All submissions must follow the CEUR template: