Canvil: Designerly Adaptation for LLM-Powered User Experiences
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arXiv
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| Autores principales: | , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866909518403731456 |
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| author | Feng, K. J. Kevin Liao, Q. Vera Xiao, Ziang Vaughan, Jennifer Wortman Zhang, Amy X. McDonald, David W. |
| author_facet | Feng, K. J. Kevin Liao, Q. Vera Xiao, Ziang Vaughan, Jennifer Wortman Zhang, Amy X. McDonald, David W. |
| contents | Advancements in large language models (LLMs) are sparking a proliferation of LLM-powered user experiences (UX). In product teams, designers often craft UX to meet user needs, but it is unclear how they engage with LLMs as a novel design material. Through a formative study with 12 designers, we find that designers seek a translational process that enables design requirements to shape and be shaped by LLM behavior, motivating a need for designerly adaptation to facilitate this translation. We then built Canvil, a Figma widget that operationalizes designerly adaptation. We used Canvil as a probe to study designerly adaptation in a group-based design study (6 groups, N=17), finding that designers constructively iterated on both adaptation approaches and interface designs to enhance end-user interaction with LLMs. Furthermore, designers identified promising collaborative workflows for designerly adaptation. Our work opens new avenues for processes and tools that foreground designers' human-centered expertise when developing LLM-powered applications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_09051 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Canvil: Designerly Adaptation for LLM-Powered User Experiences Feng, K. J. Kevin Liao, Q. Vera Xiao, Ziang Vaughan, Jennifer Wortman Zhang, Amy X. McDonald, David W. Human-Computer Interaction Advancements in large language models (LLMs) are sparking a proliferation of LLM-powered user experiences (UX). In product teams, designers often craft UX to meet user needs, but it is unclear how they engage with LLMs as a novel design material. Through a formative study with 12 designers, we find that designers seek a translational process that enables design requirements to shape and be shaped by LLM behavior, motivating a need for designerly adaptation to facilitate this translation. We then built Canvil, a Figma widget that operationalizes designerly adaptation. We used Canvil as a probe to study designerly adaptation in a group-based design study (6 groups, N=17), finding that designers constructively iterated on both adaptation approaches and interface designs to enhance end-user interaction with LLMs. Furthermore, designers identified promising collaborative workflows for designerly adaptation. Our work opens new avenues for processes and tools that foreground designers' human-centered expertise when developing LLM-powered applications. |
| title | Canvil: Designerly Adaptation for LLM-Powered User Experiences |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2401.09051 |