Exploring Human-Robot Collaboration: Analysis of Interaction Modalities in Challenging Tasks
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arXiv
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| Format: | Preprint |
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2026
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| author | Arreghini, Simone Iani, Cristina Giusti, Alessandro Villani, Valeria Sabattini, Lorenzo Paolillo, Antonio |
| author_facet | Arreghini, Simone Iani, Cristina Giusti, Alessandro Villani, Valeria Sabattini, Lorenzo Paolillo, Antonio |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_13380 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Exploring Human-Robot Collaboration: Analysis of Interaction Modalities in Challenging Tasks Arreghini, Simone Iani, Cristina Giusti, Alessandro Villani, Valeria Sabattini, Lorenzo Paolillo, Antonio Robotics 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. |
| title | Exploring Human-Robot Collaboration: Analysis of Interaction Modalities in Challenging Tasks |
| topic | Robotics |
| url | https://arxiv.org/abs/2605.13380 |