SOURCE-LINKED INTELLIGENCE
When Should Robots Intervene? Balancing Engagement and Intrusiveness in Human-Robot Interaction
Designing effective Human-Robot Interaction in task-oriented settings requires carefully balancing user engagement with socially acceptable levels of robot intrusiveness. In this paper, we examine how different robot intervention strategies shape user experience, interaction dynamics, perceived intrusiveness, and sense of support. We compare two approaches: a continuous engagement-seeking robot strategy, and a context-aware strategy that selectively intervenes based on the user's state and task context. Both approaches rely on multimodal behavioral cues, including body orientation and attentio
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-18T13:14:30.000Z
First collected: 2026-09-23T13:51:27.104Z. This is not the publication date.