92 citations · 144 across the 12 of their papers we have counts for
13 papers
A Human-Like Pedestrian Model for Automated Driving Simulations
Ruofeng Wang, Patrick Ebel, Philipp Wintersberger +1
Automated vehicles must be able to interact with pedestrians safely and efficiently across diverse traffic situations. Although driving simulators offer a scalable testbed for lear…
Cost-Aware Bayesian Optimization for Prototyping Interactive Devices
Thomas Langerak, Renate Zhang, Ziyuan Wang +2
Deciding which idea is worth prototyping is a central concern in iterative design. A prototype should be produced when the expected improvement is high and the cost is low. However…
Mind & Motion: Opportunities and Applications of Integrating Biomechanics and Cognitive Models in HCI
Arthur Fleig, Florian Fischer, Markus Klar +5
Computational models of how users perceive and act within a virtual or physical environment offer enormous potential for the understanding and design of user interactions. Cognitio…
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…
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…
SIM2VR: Towards Automated Biomechanical Testing in VR
Florian Fischer, Aleksi Ikkala, Markus Klar +6
Automated biomechanical testing has great potential for the development of VR applications, as initial insights into user behaviour can be gained in silico early in the design proc…
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…
Investigating Positive and Negative Qualities of Human-in-the-Loop Optimization for Designing Interaction Techniques
Liwei Chan, Yi-Chi Liao, George B. Mo +4
Designers reportedly struggle with design optimization tasks where they are asked to find a combination of design parameters that maximizes a given set of objectives. In HCI, desig…
Rediscovering Affordance: A Reinforcement Learning Perspective
Yi-Chi Liao, Kashyap Todi, Aditya Acharya +3
Affordance refers to the perception of possible actions allowed by an object. Despite its relevance to human-computer interaction, no existing theory explains the mechanisms that u…