7 citations · 14 across the 5 of their papers we have counts for
6 papers
Evaluating Webcam-based Gaze Data as an Alternative for Human Rationale Annotations
Stephanie Brandl, Oliver Eberle, Tiago Ribeiro +2
Rationales in the form of manually annotated input spans usually serve as ground truth when evaluating explainability methods in NLP. They are, however, time-consuming and often bi…
WebQAmGaze: A Multilingual Webcam Eye-Tracking-While-Reading Dataset
Tiago Ribeiro, Stephanie Brandl, Anders Søgaard +1
We present WebQAmGaze, a multilingual low-cost eye-tracking-while-reading dataset, designed as the first webcam-based eye-tracking corpus of reading to support the development of e…
Cross-Lingual Transfer of Cognitive Processing Complexity
Charlotte Pouw, Nora Hollenstein, Lisa Beinborn
When humans read a text, their eye movements are influenced by the structural complexity of the input sentences. This cognitive phenomenon holds across languages and recent studies…
The Copenhagen Corpus of Eye Tracking Recordings from Natural Reading of Danish Texts
Nora Hollenstein, Maria Barrett, Marina Björnsdóttir
Eye movement recordings from reading are one of the richest signals of human language processing. Corpora of eye movements during reading of contextualized running text is a way of…
Reading Task Classification Using EEG and Eye-Tracking Data
Nora Hollenstein, Marius Tröndle, Martyna Plomecka +4
The Zurich Cognitive Language Processing Corpus (ZuCo) provides eye-tracking and EEG signals from two reading paradigms, normal reading and task-specific reading. We analyze whethe…
Evaluating Bayes Error Estimators on Real-World Datasets with FeeBee
Cedric Renggli, Luka Rimanic, Nora Hollenstein +1
The Bayes error rate (BER) is a fundamental concept in machine learning that quantifies the best possible accuracy any classifier can achieve on a fixed probability distribution. D…