1 citations · 1 across the 6 of their papers we have counts for
13 papers
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 plays a vital role in capturing human visual attention across both real-world and extended reality (XR) environments, making it an essential tool for applicatio…
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…