46 citations · 102 across the 11 of their papers we have counts for
12 papers
Eyettention II: A Dual-Sequence Architecture for Modeling Fixation Location, Within-Word Landing Position, and Fixation Duration in Reading
Shuwen Deng, Cui Ding, David R. Reich +2
The way our eyes move while reading provides valuable insights into both the reader's cognitive processes and the properties of the text. In particular, eye-tracking-while-reading…
Eye-Tracking-while-Reading: A Living Survey of Datasets with Open Library Support
Deborah N. Jakobi, David R. Reich, Paul Prasse +3
Eye-tracking-while-reading corpora are a valuable resource for many different disciplines and use cases. Use cases range from studying the cognitive processes underlying reading to…
ScanDL: A Diffusion Model for Generating Synthetic Scanpaths on Texts
Lena S. Bolliger, David R. Reich, Patrick Haller +3
Eye movements in reading play a crucial role in psycholinguistic research studying the cognitive mechanisms underlying human language processing. More recently, the tight coupling…
Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding
Shuwen Deng, Paul Prasse, David R. Reich +2
Human gaze data offer cognitive information that reflects natural language comprehension. Indeed, augmenting language models with human scanpaths has proven beneficial for a range…
Eyettention: An Attention-based Dual-Sequence Model for Predicting Human Scanpaths during Reading
Shuwen Deng, David R. Reich, Paul Prasse +3
Eye movements during reading offer insights into both the reader's cognitive processes and the characteristics of the text that is being read. Hence, the analysis of scanpaths in r…
Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence Models
Daniel G. Krakowczyk, Paul Prasse, David R. Reich +3
Recent work in XAI for eye tracking data has evaluated the suitability of feature attribution methods to explain the output of deep neural sequence models for the task of oculomotr…
pymovements: A Python Package for Eye Movement Data Processing
Daniel G. Krakowczyk, David R. Reich, Jakob Chwastek +6
We introduce pymovements: a Python package for analyzing eye-tracking data that follows best practices in software development, including rigorous testing and adherence to coding s…
Detection of ADHD based on Eye Movements during Natural Viewing
Shuwen Deng, Paul Prasse, David R. Reich +7
Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder that is highly prevalent and requires clinical specialists to diagnose. It is known that an individ…
Learning Explainable Representations of Malware Behavior
Paul Prasse, Jan Brabec, Jan Kohout +3
We address the problems of identifying malware in network telemetry logs and providing \emph{indicators of compromise} -- comprehensible explanations of behavioral patterns that id…
Joint Detection of Malicious Domains and Infected Clients
Paul Prasse, Rene Knaebel, Lukas Machlica +2
Detection of malware-infected computers and detection of malicious web domains based on their encrypted HTTPS traffic are challenging problems, because only addresses, timestamps,…
Deep Eyedentification: Biometric Identification using Micro-Movements of the Eye
Lena A. Jäger, Silvia Makowski, Paul Prasse +3
We study involuntary micro-movements of the eye for biometric identification. While prior studies extract lower-frequency macro-movements from the output of video-based eye-trackin…
Learning to Identify Regular Expressions that Describe Email Campaigns
Paul Prasse, Christoph Sawade, Niels Landwehr +1
This paper addresses the problem of inferring a regular expression from a given set of strings that resembles, as closely as possible, the regular expression that a human expert wo…