AI & ML
Rethinking the UI of GenUI: A Tale of Two Designs
arXiv cs.HC0 views
arXiv:2606.13843v3 Announce Type: replace Abstract: Generative user interface (GenUI) tools use large models to create UI mockups from high-level descriptions; a recurring interaction paradigm starts with an unstructured prompt, followed by depth-first generation of a polished, high-fidelity prototype. To examine how it supports early-stage, 0-to-1 design exploration, we contrast this paradigm with structured input, breadth-first workflow, and low-fidelity generation. In our study, 24 industry professionals in early-stage product and UX design used a commercial GenUI system and our research prototype as study-era instances of each paradigm for a comparative evaluation. Findings show that 1) structured input surfaces key facets but raises entry barriers; 2) breadth-first workflow reveals more possibilities, but previewing multi-screen UX ideas remains hard; and 3) despite low fidelity's value, participants rated high fidelity as better suited to their design stage and to communicating ideas. Our findings contribute a model-agnostic, design-level account of how GenUI users specify intent, traverse alternatives, and interpret fidelity.
Source:https://arxiv.org/abs/2606.13843PreviousAromaGen: Interactive Generation of Rich Olfactory Experiences with Multimodal Language ModelsNextPatients With Personality: Realistic Patient Simulation through Controlled Diversity and Selective Disclosure
Related posts
A Bayesian Optimized Biquad Filter-Burg Model for Real-Time EEG Phase Estimation
0arXiv eess.SP
Thought-deciphering via hierarchical EEG-to-text alignment
0arXiv eess.SP
Neuromorphic Decoding and Dynamical Image Reconstruction from Populations of Spiking Retinal Ganglion Cells
0arXiv eess.SP
Benchmarking Sensor-Fault Robustness in Forecasting
0arXiv eess.SP
Consistent Geometric Deep Learning via Hilbert Bundles and Cellular Sheaves
0arXiv eess.SP
Multi-Threshold Sampling: Signal Space, Sampling Operators, and First Recorded Crossing-Time Distributions
0arXiv eess.SP