5 citations · 13 across the 27 of their papers we have counts for
28 papers
A Transparent 3-DoF Assistive Device for Upper-Limb Tremor and Ataxia Compensation: Design and Experimental Validation
Thomas Dobosz, Veronika Hofmann, Ahmed Barhoma +12
Assistive devices for patients with neurodegenerative movement disorders must combine high mechanical transparency with the ability to generate corrective interaction forces. Achie…
Ontology-Guided Diffusion for Zero-Shot Visual Sim2Real Transfer
Mohamed Youssef, Mayar Elfares, Anna-Maria Meer +2
Bridging the simulation-to-reality (sim2real) gap remains challenging as labelled real-world data is scarce. Existing diffusion-based approaches rely on unstructured prompts or sta…
ObjectVisA-120: Object-based Visual Attention Prediction in Interactive Street-crossing Environments
Igor Vozniak, Philipp Mueller, Nils Lipp +6
The object-based nature of human visual attention is well-known in cognitive science, but has only played a minor role in computational visual attention models so far. This is main…
CryptoQA: A Large-scale Question-answering Dataset for AI-assisted Cryptography
Mayar Elfares, Pascal Reisert, Tilman Dietz +4
Large language models (LLMs) excel at many general-purpose natural language processing tasks. However, their ability to perform deep reasoning and mathematical analysis, particular…
REFLECTing SPERET: Measuring and Promoting Ethics and Privacy Reflexivity in Eye-Tracking Research
Susanne Hindennach, Mayar Elfares, Céline Gressel +1
The proliferation of eye tracking in high-stakes domains - such as healthcare, marketing and surveillance - underscores the need for researchers to be ethically aware when employin…
HAGI++: Head-Assisted Gaze Imputation and Generation
Chuhan Jiao, Zhiming Hu, Andreas Bulling
Mobile eye-tracking is crucial for capturing human visual attention in real-world and XR settings, supporting research and human-computer interaction. Yet blinks, pupil-detection e…
Tell Me Without Telling Me: Two-Way Prediction of Visualization Literacy and Visual Attention
Minsuk Chang, Yao Wang, Huichen Will Wang +3
Accounting for individual differences can improve the effectiveness of visualization design. While the role of visual attention in visualization interpretation is well recognized,…
Gaze3P: Gaze-Based Prediction of User-Perceived Privacy
Mayar Elfares, Pascal Reisert, Ralf Küsters +1
Privacy is a highly subjective concept and perceived variably by different individuals. Previous research on quantifying user-perceived privacy has primarily relied on questionnair…
Guidelines for Gaze-based Neural Preliminary Diagnosis
Mayar Elfares, Salma Younis, Pascal Reisert +3
Neural disorders refer to any condition affecting the nervous system and that influence how individuals perceive and interact with the world. Traditional neural diagnoses rely on c…
QualitEye: Public and Privacy-preserving Gaze Data Quality Verification
Mayar Elfares, Pascal Reisert, Ralf Küsters +1
Gaze-based applications are increasingly advancing with the availability of large datasets but ensuring data quality presents a substantial challenge when collecting data at scale.…
HOIGaze: Gaze Estimation During Hand-Object Interactions in Extended Reality Exploiting Eye-Hand-Head Coordination
Zhiming Hu, Daniel Haeufle, Syn Schmitt +1
We present HOIGaze - a novel learning-based approach for gaze estimation during hand-object interactions (HOI) in extended reality (XR). HOIGaze addresses the challenging HOI setti…
ChartOptimiser: Task-driven Optimisation of Chart Designs
Yao Wang, Jiarong Pan, Danqing Shi +3
Automated chart design has seen significant advancements with the emergence of Large-Language Models (LLMs), which offer a practical solution for generating charts. However, LLMs f…
Interactive Expressive Motion Generation Using Dynamic Movement Primitives
Till Hielscher, Andreas Bulling, Kai O. Arras
Our goal is to enable social robots to interact autonomously with humans in a realistic, engaging, and expressive manner. The 12 Principles of Animation are a well-established fram…
Chartist: Task-driven Eye Movement Control for Chart Reading
Danqing Shi, Yao Wang, Yunpeng Bai +2
To design data visualizations that are easy to comprehend, we need to understand how people with different interests read them. Computational models of predicting scanpaths on char…
Grid Labeling: Crowdsourcing Task-Specific Importance from Visualizations
Minsuk Chang, Yao Wang, Huichen Will Wang +2
Knowing where people look in visualizations is key to effective design. Yet, existing research primarily focuses on free-viewing-based saliency models - although visual attention i…
HAIFAI: Human-AI Interaction for Mental Face Reconstruction
Florian Strohm, Mihai Bâce, Andreas Bulling
We present HAIFAI - a novel two-stage system where humans and AI interact to tackle the challenging task of reconstructing a visual representation of a face that exists only in a p…
SummAct: Uncovering User Intentions Through Interactive Behaviour Summarisation
Guanhua Zhang, Mohamed Ahmed, Zhiming Hu +1
Recent work has highlighted the potential of modelling interactive behaviour analogously to natural language. We propose interactive behaviour summarisation as a novel computationa…
HaHeAE: Learning Generalisable Joint Representations of Human Hand and Head Movements in Extended Reality
Zhiming Hu, Guanhua Zhang, Zheming Yin +3
Human hand and head movements are the most pervasive input modalities in extended reality (XR) and are significant for a wide range of applications. However, prior works on hand an…
DiffEyeSyn: Diffusion-based User-specific Eye Movement Synthesis
Chuhan Jiao, Guanhua Zhang, Yeonjoo Cho +2
High-frequency gaze data contains more user-specific information than low-frequency data, promising for various applications. However, existing gaze modelling methods focus on low-…
HOIMotion: Forecasting Human Motion During Human-Object Interactions Using Egocentric 3D Object Bounding Boxes
Zhiming Hu, Zheming Yin, Daniel Haeufle +2
We present HOIMotion - a novel approach for human motion forecasting during human-object interactions that integrates information about past body poses and egocentric 3D object bou…
DiffGaze: A Diffusion Model for Continuous Gaze Sequence Generation on 360° Images
Chuhan Jiao, Yao Wang, Guanhua Zhang +3
We present DiffGaze, a novel method for generating realistic and diverse continuous human gaze sequences on 360° images based on a conditional score-based denoising diffusion model…
Learning User Embeddings from Human Gaze for Personalised Saliency Prediction
Florian Strohm, Mihai Bâce, Andreas Bulling
Reusable embeddings of user behaviour have shown significant performance improvements for the personalised saliency prediction task. However, prior works require explicit user char…
UP-FacE: User-predictable Fine-grained Face Shape Editing
Florian Strohm, Mihai Bâce, Andreas Bulling
We present User-predictable Face Editing (UP-FacE) -- a novel method for predictable face shape editing. In stark contrast to existing methods for face editing using trial and erro…
GazeMotion: Gaze-guided Human Motion Forecasting
Zhiming Hu, Syn Schmitt, Daniel Haeufle +1
We present GazeMotion, a novel method for human motion forecasting that combines information on past human poses with human eye gaze. Inspired by evidence from behavioural sciences…