From Pets to Robots: MojiKit as a Data-Informed Toolkit for Affective HRI Design
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arXiv
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| Auteurs principaux: | , , , , , , |
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866915856904093696 |
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| author | He, Liwen Chen, Pingting Tang, Ziheng Liu, Yixiao Jeung, Jihong Han, Teng Tong, Xin |
| author_facet | He, Liwen Chen, Pingting Tang, Ziheng Liu, Yixiao Jeung, Jihong Han, Teng Tong, Xin |
| contents | Designing affective behaviors for animal-inspired social robots often relies on intuition and personal experience, leading to fragmented outcomes. To provide more systematic guidance, we first coded and analyzed human-pet interaction videos, validated insights through literature and interviews, and created structured reference cards that map the design space of pet-inspired affective interactions. Building on this, we developed MojiKit, a toolkit combining reference cards, a zoomorphic robot prototype (MomoBot), and a behavior control studio. We evaluated MojiKit in co-creation workshops with 18 participants, finding that MojiKit helped them design 35 affective interaction patterns beyond their own pet experiences, while the code-free studio lowered the technical barrier and enhanced creative agency. Our contributions include the data-informed structured resource for pet-inspired affective HRI design, an integrated toolkit that bridges reference materials with hands-on prototyping, and empirical evidence showing how MojiKit empowers users to systematically create richer, more diverse affective robot behaviors. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_11632 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | From Pets to Robots: MojiKit as a Data-Informed Toolkit for Affective HRI Design He, Liwen Chen, Pingting Tang, Ziheng Liu, Yixiao Jeung, Jihong Han, Teng Tong, Xin Human-Computer Interaction Robotics Designing affective behaviors for animal-inspired social robots often relies on intuition and personal experience, leading to fragmented outcomes. To provide more systematic guidance, we first coded and analyzed human-pet interaction videos, validated insights through literature and interviews, and created structured reference cards that map the design space of pet-inspired affective interactions. Building on this, we developed MojiKit, a toolkit combining reference cards, a zoomorphic robot prototype (MomoBot), and a behavior control studio. We evaluated MojiKit in co-creation workshops with 18 participants, finding that MojiKit helped them design 35 affective interaction patterns beyond their own pet experiences, while the code-free studio lowered the technical barrier and enhanced creative agency. Our contributions include the data-informed structured resource for pet-inspired affective HRI design, an integrated toolkit that bridges reference materials with hands-on prototyping, and empirical evidence showing how MojiKit empowers users to systematically create richer, more diverse affective robot behaviors. |
| title | From Pets to Robots: MojiKit as a Data-Informed Toolkit for Affective HRI Design |
| topic | Human-Computer Interaction Robotics |
| url | https://arxiv.org/abs/2603.11632 |