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20242026
most citedGraph4GUI: Graph Neural Networks for Representing Graphical User Interfaces

15 citations · 17 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.HC2026

Spatula: Exploring On-Demand In-Situ Interfaces and Interaction for Attribute Control

Boyu Li, Linjie Qiu, Lin-Ping Yuan +4

Controlling attributes is a critical step toward achieving the final creative outcome, yet current approaches fall short in supporting users in the iterative refinement of generati…

cs.HC2025

ControlGUI: Guiding Generative GUI Exploration through Perceptual Visual Flow

Aryan Garg, Yue Jiang, Antti Oulasvirta

During the early stages of interface design, designers need to produce multiple sketches to explore a design space. Design tools often fail to support this critical stage, because…

cs.HC2024

Impact of Design Decisions in Scanpath Modeling

Parvin Emami, Yue Jiang, Zixin Guo +1

Modeling visual saliency in graphical user interfaces (GUIs) allows to understand how people perceive GUI designs and what elements attract their attention. One aspect that is ofte…

cs.HC202415 cited

Graph4GUI: Graph Neural Networks for Representing Graphical User Interfaces

Yue Jiang, Changkong Zhou, Vikas Garg +1

Present-day graphical user interfaces (GUIs) exhibit diverse arrangements of text, graphics, and interactive elements such as buttons and menus, but representations of GUIs have no…

cs.HC20241 cited

UEyes: An Eye-Tracking Dataset across User Interface Types

Yue Jiang, Luis A. Leiva, Paul R. B. Houssel +3

Different types of user interfaces differ significantly in the number of elements and how they are displayed. To examine how such differences affect the way users look at UIs, we c…