日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

週刊ニュースレター購読
arXiv:2605.13380

Exploring Human-Robot Collaboration: Analysis of Interaction Modalities in Challenging Tasks

Exploring Human-Robot Collaboration: Analysis of Interaction Modalities in Challenging Tasks

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著者: Simone Arreghini, Cristina Iani, Alessandro Giusti, Valeria Villani, Lorenzo Sabattini, Antonio Paolillo

分類: cs.RO

原文アブストラクト

This work compares three interaction modalities for human-robot collaboration: passive, reactive, and proactive. We studied 18 participants assembling a seven-layer colored tower from memory while using nearby and distant blocks. In the passive modality participants worked alone; in the reactive modality a mobile robot helped only upon request; in the proactive modality it initiated brick delivery and error signaling without explicit requests. Although robot assistance increased completion time, most participants preferred collaboration: 67% preferred proactive behavior and 78% judged it most useful. These results suggest that timely proactive support can improve user experience in controlled collaborative tasks.