What Drives You to Interact?: The Role of User Motivation for a Robot in the Wild
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Acceso en línea: | |
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| _version_ | 1866917887639289856 |
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| author | Koike, Amy Okafuji, Yuki Hoshimure, Kenya Baba, Jun |
| author_facet | Koike, Amy Okafuji, Yuki Hoshimure, Kenya Baba, Jun |
| contents | In this paper, we aim to understand how user motivation shapes human-robot interaction (HRI) in the wild. To explore this, we conducted a field study by deploying a fully autonomous conversational robot in a shopping mall over two days. Through sequential video analysis, we identified five patterns of interaction fluency (Smooth, Awkward, Active, Messy, and Quiet), four types of user motivation for interacting with the robot (Function, Experiment, Curiosity, and Education), and user positioning towards the robot. We further analyzed how these motivations and positioning influence interaction fluency. Our findings suggest that incorporating users' motivation types into the design of robot behavior can enhance interaction fluency, engagement, and user satisfaction in real-world HRI scenarios. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_04929 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | What Drives You to Interact?: The Role of User Motivation for a Robot in the Wild Koike, Amy Okafuji, Yuki Hoshimure, Kenya Baba, Jun Human-Computer Interaction Robotics In this paper, we aim to understand how user motivation shapes human-robot interaction (HRI) in the wild. To explore this, we conducted a field study by deploying a fully autonomous conversational robot in a shopping mall over two days. Through sequential video analysis, we identified five patterns of interaction fluency (Smooth, Awkward, Active, Messy, and Quiet), four types of user motivation for interacting with the robot (Function, Experiment, Curiosity, and Education), and user positioning towards the robot. We further analyzed how these motivations and positioning influence interaction fluency. Our findings suggest that incorporating users' motivation types into the design of robot behavior can enhance interaction fluency, engagement, and user satisfaction in real-world HRI scenarios. |
| title | What Drives You to Interact?: The Role of User Motivation for a Robot in the Wild |
| topic | Human-Computer Interaction Robotics |
| url | https://arxiv.org/abs/2501.04929 |