On AI-Inspired UI-Design
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arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866929688436277248 |
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| author | Wei, Jialiang Courbis, Anne-Lise Lambolais, Thomas Dray, Gérard Maalej, Walid |
| author_facet | Wei, Jialiang Courbis, Anne-Lise Lambolais, Thomas Dray, Gérard Maalej, Walid |
| contents | Graphical User Interface (or simply UI) is a primary mean of interaction between users and their devices. In this paper, we discuss three complementary Artificial Intelligence (AI) approaches for triggering the creativity of app designers and inspiring them create better and more diverse UI designs. First, designers can prompt a Large Language Model (LLM) to directly generate and adjust UIs. Second, a Vision-Language Model (VLM) enables designers to effectively search a large screenshot dataset, e.g. from apps published in app stores. Third, a Diffusion Model (DM) can be trained to specifically generate UIs as inspirational images. We present an AI-inspired design process and discuss the implications and limitations of the approaches. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_13631 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | On AI-Inspired UI-Design Wei, Jialiang Courbis, Anne-Lise Lambolais, Thomas Dray, Gérard Maalej, Walid Human-Computer Interaction Artificial Intelligence Software Engineering Graphical User Interface (or simply UI) is a primary mean of interaction between users and their devices. In this paper, we discuss three complementary Artificial Intelligence (AI) approaches for triggering the creativity of app designers and inspiring them create better and more diverse UI designs. First, designers can prompt a Large Language Model (LLM) to directly generate and adjust UIs. Second, a Vision-Language Model (VLM) enables designers to effectively search a large screenshot dataset, e.g. from apps published in app stores. Third, a Diffusion Model (DM) can be trained to specifically generate UIs as inspirational images. We present an AI-inspired design process and discuss the implications and limitations of the approaches. |
| title | On AI-Inspired UI-Design |
| topic | Human-Computer Interaction Artificial Intelligence Software Engineering |
| url | https://arxiv.org/abs/2406.13631 |