5 citations · 13 across the 27 of their papers we have counts for
12 papers · 1 filter
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…