Engagement Estimation in Human-Robot and Human-Human Interactions across Domain, Age and Culture: MultiMediate'26 Challenge
Engagement Estimation in Human-Robot and Human-Human Interactions across Domain, Age and Culture: MultiMediate'26 Challenge
This research presents the MultiMediate'26 challenge, which expands engagement estimation to include child-child and child-robot play sessions via the PInSoRo dataset. The work introduces new datasets (NoXi, NoXi-J, MPIIGI, PInSoRo), describes baseline models for multi-modal engagement estimation across domains, and discusses challenge submissions with publicly available code, leaderboards, and features.
The paper introduces the MultiMediate'26 challenge and associated datasets (NoXi, NoXi-J, MPIIGI, PInSoRo) for estimating engagement in human-human and human-robot interactions across varying domains, ages, and cultures, providing baseline models and public resources.
Source: arXiv Robotics — research abstracts · Read original article ↗
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and manifest differently between children and adults. MultiMediate'26 therefore expands the evaluated domain set to include the PInSoRo dataset of Child-Child and Child-Robot play sessions in English. These sessions were annotated categorically with task and social engagement, diversifying engagement types, age ranges and interaction types. In this paper, we describe the MultiMediate'26 challenge and its goals, intr
Open source S3
oduce the NoXi, NoXi-J, MPIIGI, and PInSoRo datasets, showcase extracted multi-modal features, present our baseline model for engagement estimation across all domains, and discuss challenge submissions and approaches. In an effort to provide a transparent and welcoming challenge environment, baseline code, leaderboard, datasets, and extracted features are publicly available at https://github.com/hcmlab/MultiMediate_2
Open source S4
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Source：arXiv Robotics — research abstracts · arxiv.org