aiqbench analysis
This study investigates how design intent evolves through iterative interaction with generative AI tools rather than being transmitted linearly from prompt to output. It identifies a dynamic process of "lexical oscillation" where designers shift between vague conceptualizing and specific operational language, treating AI mismatches as opportunities for refining their own judgment. The findings reframe the designer-AI relationship as consultative dialogue that actively shapes creative direction through ambiguity management.
From Vibe to Code -- and Back: Lexical Oscillation in the Formation of Design Intent with Generative AI
arXiv:2607.23126v1 Announce Type: cross Abstract: Generative AI design tools make natural-language prompts a starting point for design, placing new articulation demands on designers. Rather than treating prompts as the transmission of pre-existing design intent, we ask how design intent is formed through situated interaction with AI. Five expert UI/UX designers (11-20 years' experience, M = 15.4) designed landing-page hero sections with a generative AI tool, recorded through think-aloud and retrospective interviews. Using reflexive thematic analysis, we used lexical granularity (L1 vibe, L2 design-domain, L3 operational language) as a sensitizing lens. Rather than moving from vibe to code unidirectionally, designers showed lexical oscillation, including returns from operational specificity to ambiguity. Mismatches with AI outputs were taken up as occasions for designers to reconsider what they meant, and engagement shifted from instruction to consultation. One non-oscillating trajectory -- a negative case -- suggested conceptual misalignment as a tentative boundary for future examination. We position AI as a non-neutral generative interlocutor and ambiguity as a resource for design judgment.
Abstract:Generative AI design tools make natural-language prompts a starting point for design, placing new articulation demands on designers. Rather than treating prompts as the transmission of pre-existing design intent, we ask how design intent is formed through situated interaction with AI. Five expert UI/UX designers (11-20 years' experience, M = 15.4) designed landing-page hero sections with a generative AI tool, recorded through think-aloud and retrospective interviews. Using reflexive thematic analysis, we used lexical granularity (L1 vibe, L2 design-domain, L3 operational language) as a sensitizing lens. Rather than moving from vibe to code unidirectionally, designers showed lexical oscillation, including returns from operational specificity to ambiguity. Mismatches with AI outputs were taken up as occasions for designers to reconsider what they meant, and engagement shifted from instruction to consultation. One non-oscillating trajectory -- a negative case -- suggested conceptual misalignment as a tentative boundary for future examination. We position AI as a non-neutral generative interlocutor and ambiguity as a resource for design judgment.
Preprint. Submitted to the International Journal of Human-Computer Interaction (IJHCI) and currently under review
Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI)
arXiv:2607.23126 [cs.HC]
(or arXiv:2607.23126v1 [cs.HC] for this version)
https://doi.org/10.48550/arXiv.2607.23126 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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Full text under the publisher's open licence · 272 words
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