765 citations · 2.5k across the 41 of their papers we have counts for
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VisRecall: Quantifying Information Visualisation Recallability via Question Answering
Yao Wang, Chuhan Jiao, Mihai Bâce +1
Despite its importance for assessing the effectiveness of communicating information visually, fine-grained recallability of information visualisations has not been studied quantita…
Scanpath Prediction on Information Visualisations
Yao Wang, Mihai Bâce, Andreas Bulling
We propose Unified Model of Saliency and Scanpaths (UMSS) -- a model that learns to predict visual saliency and scanpaths (i.e. sequences of eye fixations) on information visualisa…
Multimodal Integration of Human-Like Attention in Visual Question Answering
Ekta Sood, Fabian Kögel, Philipp Müller +3
Human-like attention as a supervisory signal to guide neural attention has shown significant promise but is currently limited to uni-modal integration - even for inherently multimo…
VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering
Ekta Sood, Fabian Kögel, Florian Strohm +2
We present VQA-MHUG - a novel 49-participant dataset of multimodal human gaze on both images and questions during visual question answering (VQA) collected using a high-speed eye t…
Neural Photofit: Gaze-based Mental Image Reconstruction
Florian Strohm, Ekta Sood, Sven Mayer +3
We propose a novel method that leverages human fixations to visually decode the image a person has in mind into a photofit (facial composite). Our method combines three neural netw…