Directing the Robot: Scaffolding Creative Human-AI-Robot Interaction
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Acceso en línea: | |
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| _version_ | 1866911498215882752 |
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| author | Deja, Jordan Aiko Butaslac, Isidro Caluya, Nicko Reginio Weerasinghe, Maheshya |
| author_facet | Deja, Jordan Aiko Butaslac, Isidro Caluya, Nicko Reginio Weerasinghe, Maheshya |
| contents | Robots are moving beyond industrial settings into creative, educational, and public environments where interaction is open-ended and improvisational. Yet much of human-AI-robot interaction remains framed around performance and efficiency, positioning humans as supervisors rather than collaborators. We propose a re-framing of AI interaction with robots as scaffolding: infrastructure that enables humans to shape robotic behaviour over time while remaining meaningfully in control. Through scenarios from creative practice, learning-by-teaching, and embodied interaction, we illustrate how humans can act as executive directors, defining intent and steering revisions, while AI mediates between human expression and robotic execution. We outline design and evaluation implications that foreground creativity, agency, and flow. Finally, we discuss open challenges in social, scalable, and mission-critical contexts. We invite the community to rethink interacting with Robots and AI not as autonomy, but as sustained support for human creativity. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_07748 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Directing the Robot: Scaffolding Creative Human-AI-Robot Interaction Deja, Jordan Aiko Butaslac, Isidro Caluya, Nicko Reginio Weerasinghe, Maheshya Human-Computer Interaction Robotics Robots are moving beyond industrial settings into creative, educational, and public environments where interaction is open-ended and improvisational. Yet much of human-AI-robot interaction remains framed around performance and efficiency, positioning humans as supervisors rather than collaborators. We propose a re-framing of AI interaction with robots as scaffolding: infrastructure that enables humans to shape robotic behaviour over time while remaining meaningfully in control. Through scenarios from creative practice, learning-by-teaching, and embodied interaction, we illustrate how humans can act as executive directors, defining intent and steering revisions, while AI mediates between human expression and robotic execution. We outline design and evaluation implications that foreground creativity, agency, and flow. Finally, we discuss open challenges in social, scalable, and mission-critical contexts. We invite the community to rethink interacting with Robots and AI not as autonomy, but as sustained support for human creativity. |
| title | Directing the Robot: Scaffolding Creative Human-AI-Robot Interaction |
| topic | Human-Computer Interaction Robotics |
| url | https://arxiv.org/abs/2603.07748 |