56 citations · 110 across the 9 of their papers we have counts for
9 papers
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…
EyeFormer: Predicting Personalized Scanpaths with Transformer-Guided Reinforcement Learning
Yue Jiang, Zixin Guo, Hamed Rezazadegan Tavakoli +2
From a visual perception perspective, modern graphical user interfaces (GUIs) comprise a complex graphics-rich two-dimensional visuospatial arrangement of text, images, and interac…
Supporting Bayesian modelling workflows with iterative filtering for multiverse analysis
Anna Elisabeth Riha, Nikolas Siccha, Antti Oulasvirta +1
When building statistical models for Bayesian data analysis tasks, required and optional iterative adjustments and different modelling choices can give rise to numerous candidate m…
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…
Pedestrian crossing decisions can be explained by bounded optimal decision-making under noisy visual perception
Yueyang Wang, Aravinda Ramakrishnan Srinivasan, Jussi P. P. Jokinen +2
This paper presents a model of pedestrian crossing decisions, based on the theory of computational rationality. It is assumed that crossing decisions are boundedly optimal, with bo…
Modeling human road crossing decisions as reward maximization with visual perception limitations
Yueyang Wang, Aravinda Ramakrishnan Srinivasan, Jussi P. P. Jokinen +2
Understanding the interaction between different road users is critical for road safety and automated vehicles (AVs). Existing mathematical models on this topic have been proposed b…