Problem
Research questions and friction points this paper is trying to address.
multimodal dataset
user engagement
human-robot interaction
physiological signals
Establishing a Dynamic Multimodal HRI Dataset for Engagement Analysis with a Humanoid Robot
🤖 AI Summary
本文通过构建包含生理信号、行为数据和自我报告的多模态数据集，以分析人机交互中的用户参与度，解决了以往研究中缺乏整合生理信号的问题。
📝 Abstract
This paper presents an experimental design for constructing a multimodal dataset to analyze user engagement in human-robot interaction (HRI). Prior studies have mainly relied on observable behavioral cues, with limited frameworks integrating physiological signals. We therefore propose a structured data-collection protocol to build a multimodal dataset that includes wearable physiological signals, behavioral data, and self-report measures under different levels of task complexity defined in this experiment.
Innovation
Methods, ideas, or system contributions that make the work stand out.
multimodal dataset
physiological signals
user engagement
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