Publications
2024
Expert gaze as a usability indicator of medical AI decision support systems: a preliminary study
Nora Castner, Lubaina Arsiwala-Scheppach, Sarah Mertens, Joachim Krois, Enkeleda Thaqi, Enkelejda Kasneci, Siegfried Wahl, and Falk Schwendicke. NPJ Digital Medicine 7(1): 199. Nature Publishing Group UK London, 2024.
Impact of artificial intelligence on dentists’ gaze during caries detection: A randomized controlled trial
Lubaina T Arsiwala-Scheppach, Nora J Castner, Csaba Rohrer, Sarah Mertens, Enkelejda Kasneci, Jose Eduardo Cejudo Grano de Oro, and Falk Schwendicke. Journal of Dentistry 140: 104793. Elsevier, 2024.
2023
Exploring the Effects of Scanpath Feature Engineering for Supervised Image Classification Models
Sean Anthony Byrne, Virmarie Maquiling, Adam Peter Frederick Reynolds, Luca Polonio, Nora Castner, and Enkelejda Kasneci. Proceedings of the ACM on Human-Computer Interaction 7(ETRA): 1–18. ACM New York, NY, USA, 2023.
Leveraging Eye Tracking in Digital Classrooms: A Step Towards Multimodal Model for Learning Assistance
Sean Anthony Byrne, Nora Castner, Ard Kastrati, Martyna Plomecka, William Schaefer, Enkelejda Kasneci, and Zoya Bylinskii. Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, pages 1–6, 2023.
Watch out for those bananas! Gaze Based Mario Kart Performance Classification
Wolfgang Fuhl, Björn Severitt, Nora Castner, Babette Bühler, Johannes Meyer, Daniel Weber, Regine Lendway, Ruikun Hou, and Enkelejda Kasneci. Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, pages 1–2, 2023.
2022
Latent gaze information in highly dynamic decision-tasks
Benedikt W. Hosp. PhD thesis. University of Tübingen, 2022.
A gaze-based study design to explore how competency evolves during a photo manipulation task
Nora Castner, Bela Umlauf, Ard Kastrati, Martyna Beata Płomecka, William Schaefer, Enkelejda Kasneci, and Zoya Bylinskii. 2022 Symposium on Eye Tracking Research and Applications, pages 1–3, 2022.
Evaluating the Effects of Virtual Human Animation on Students in an Immersive VR Classroom Using Eye Movements
Hong Gao, Lisa Hasenbein, Efe Bozkir, Richard Göllner, and Enkelejda Kasneci. Proceedings of the 28th ACM Symposium on Virtual Reality Software and Technology (VRST ’22). ACM, 2022.
Exploring Gender Differences in Computational Thinking Learning in a VR Classroom: Developing Machine Learning Models Using Eye-Tracking Data and Explaining the Models
Hong Gao, Lisa Hasenbein, Efe Bozkir, Richard Göllner, and Enkelejda Kasneci. International Journal of Artificial Intelligence in Education, pages 1–26. Springer, 2022.
Maximum and Leaky Maximum Propagation
Wolfgang Fuhl and Enkelejda Kasneci. Proceedings of the International Joint Conference on Neural Networks, 2022.
2021
The Gaze and Mouse Signal as additional Source for User Fingerprints in Browser Applications
W Fuhl, N Sanamrad, and E Kasneci. arXiv preprint arXiv:2101.03793. CoRR, 2021.
1000 Pupil Segmentations in a Second using Haar Like Features and Statistical Learning
Wolfgang Fuhl, Johannes Schneider, and Enkelejda Kasneci. International Conference on Computer Vision Workshops, ICCVW, 2021.
A Multimodal Eye Movement Dataset and a Multimodal Eye Movement Segmentation Analysis
W. Fuhl and E Kasneci. Proceedings of the ACM Symposium on Eye Tracking Research & Applications (ETRA), 2021.
Differentiating Surgeons’ Expertise solely by Eye Movement Features
Benedikt Hosp, Myat Su Yin, Peter Haddawy, Ratthapoom Watcharopas, Paphon Sa-ngasoongsong, and Enkelejda Kasneci. Companion Publication of the 2021 International Conference on Multimodal Interaction, pages 371–375, 2021.
Expertise classification of soccer goalkeepers in highly dynamic decision tasks: A deep learning approach for temporal and spatial feature recognition of fixation image patch sequences
B. Hosp, F. Schultz, E. Kasneci, and O. Hoener. Frontiers in Sports and Active Living, pages 183. Frontiers, 2021.
Rotated Ring, Radial and Depth Wise Separable Radial Convolutions
Wolfgang Fuhl and Enkelejda Kasneci. Proceedings of the International Joint Conference on Neural Networks, 2021.
Soccer goalkeeper expertise identification based on eye movements
B. W. Hosp, F. Schultz, O. Hoener, and E. Kasneci. PloS one 16(5): e0251070. Public Library of Science San Francisco, CA USA, 2021.
States of Confusion: Eye and Head Tracking Reveal Surgeons’ Confusion during Arthroscopic Surgery
Benedikt Hosp, Myat Su Yin, Peter Haddawy, Ratthaphum Watcharopas, Paphon Sa-Ngasoongsong, and Enkelejda Kasneci. Proceedings of the 2021 International Conference on Multimodal Interaction, pages 753–757, 2021.
TEyeD: Over 20 Million Real-World Eye Images with Pupil, Eyelid, and Iris 2D and 3D Segmentations, 2D and 3D Landmarks, 3D Eyeball, Gaze Vector, and Eye Movement Types
Wolfgang Fuhl, Gjergji Kasneci, and Enkelejda Kasneci. IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2021.
Weight and Gradient Centralization in Deep Neural Networks
Wolfgang Fuhl and Enkelejda Kasneci. Proceedings of the International Conference on Artificial Neural Networks, 2021.
2020
Multi Layer Neural Networks as Replacement for Pooling Operations
Wolfgang Fuhl and Enkelejda Kasneci. arXiv preprint arXiv:2006.06969. CoRR, 2020.
Training Decision Trees as Replacement for Convolution Layers
W. Fuhl, G. Kasneci, W. Rosenstiel, and E. Kasneci. Conference on Artificial Intelligence, AAAI, 2020.
Neural networks for optical vector and eye ball parameter estimation
W. Fuhl, H. Gao, and E. Kasneci. ACM Symposium on Eye Tracking Research & Applications, ETRA 2020. ACM, 2020.
Tiny convolution, decision tree, and binary neuronal networks for robust and real time pupil outline estimation
W. Fuhl, H. Gao, and E. Kasneci. ACM Symposium on Eye Tracking Research & Applications, ETRA 2020. ACM, 2020.
A Study of Expert/Novice Perception in Arthroscopic Shoulder Surgery
Myat Su Yin, Peter Haddawy, Benedikt Hosp, Paphon Sa-ngasoongsong, Thanwarat Tanprathumwong, Madereen Sayo, Supawit Yangyuenpradorn, and Akara Supratak. Proceedings of the 4th International Conference on Medical and Health Informatics, pages 71–77, 2020.
Fully Convolutional Neural Networks for Raw Eye Tracking Data Segmentation, Generation, and Reconstruction
Wolfgang Fuhl, Yao Rong, and Kasneci Enkelejda. Proceedings of the International Conference on Pattern Recognition, pages 0–0, 2020.
The Perception Engineer’s Toolkit for Eye-Tracking data analysis
Thomas C Kübler. Eye Tracking Research and Applications. ACM, 2020.
2019
500,000 images closer to eyelid and pupil segmentation
W. Fuhl, W. Rosenstiel, and E. Kasneci. Computer Analysis of Images and Patterns, CAIP, 2019.
Learning to validate the quality of detected landmarks
W. Fuhl and E. Kasneci. International Conference on Machine Vision, ICMV, 2019.
The applicability of Cycle GANs for pupil and eyelid segmentation, data generation and image refinement
W. Fuhl, D. Geisler, W. Rosenstiel, and E. Kasneci. International Conference on Computer Vision Workshops, ICCVW, 2019.
Ferns for area of interest free scanpath classification
W. Fuhl, N. Castner, T. C. Kübler, A. Lotz, W. Rosenstiel, and E. Kasneci. Proceedings of the 2019 ACM Symposium on Eye Tracking Research & Applications (ETRA) , 2019.
Attentive or Not?: Toward a Machine Learning Approach to Assessing Students’ Visible Engagement in Classroom Instruction
Patricia Goldberg, Ömer Sümer, Kathleen Stürmer, Wolfgang Wagner, Richard Göllner, Peter Gerjets, Enkelejda Kasneci, and Ulrich Trautwein. Educational Psychology Review, 2019.
Encodji: Encoding Gaze Data Into Emoji Space for an Amusing Scanpath Classification Approach ;)
Wolfgang Fuhl, Efe Bozkir, Benedikt Hosp, Nora Castner, David Geisler, Thiago C., and Enkelejda Kasneci. Eye Tracking Research and Applications, 2019.
2018
Overlooking: The nature of gaze behavior and anomaly detection in expert dentists
Nora Castner, Solveig Klepper, Lena Kopnarski, Fabian Hüttig, Constanze Keutel, Katharina Scheiter, Juliane Richter, T. Eder, and Enkelejda Kasneci. Workshop on Modeling Cognitive Processes from Multimodal Data (MCPMD’18 ), 2018.
Automatic generation of saliency-based areas of interest
W. Fuhl, T. Kübler, T. Santini, and E. Kasneci. Symposium on Vision, Modeling and Visualization (VMV), 2018.
CBF:Circular binary features for robust and real-time pupil center detection
W. Fuhl, D. Geisler, T. Santini, T. Appel, W. Rosenstiel, and E. Kasneci. ACM Symposium on Eye Tracking Research & Applications, 2018.
Region of interest generation algorithms for eye tracking data
W. Fuhl, T. C. Kübler, H. Brinkmann, R. Rosenberg, W. Rosenstiel, and E. Kasneci. Third Workshop on Eye Tracking and Visualization (ETVIS), in conjunction with ACM ETRA, 2018.
The Art of Pervasive Eye Tracking: Unconstrained Eye Tracking in the Austrian Gallery Belvedere
T. Santini, H. Brinkmann, L. Reistätter, H. Leder, R. Rosenberg, W. Rosenstiel, and E. Kasneci. Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications (ETRA): Adjunct publication – PETMEI 2018, 2018.
BORE: Boosted-oriented edge optimization for robust, real time remote pupil center detection
W. Fuhl, S. Eivazi, B. Hosp, A. Eivazi, W. Rosenstiel, and E. Kasneci. Eye Tracking Research and Applications, ETRA, 2018.
Eye movement simulation and detector creation to reduce laborious parameter adjustments
W. Fuhl, T. Santini, T. Kuebler, N. Castner, W. Rosenstiel, and E. Kasneci. arXiv preprint arXiv:1804.00970, 2018.
Eye movement velocity and gaze data generator for evaluation, robustness testing and assess of eye tracking software and visualization tools
W. Fuhl and E. Kasneci. Poster at Egocentric Perception, Interaction and Computing, EPIC, 2018.
Histogram of oriented velocities for eye movement detection
W. Fuhl, N. Castner, and E. Kasneci. International Conference on Multimodal Interaction Workshops, ICMIW, 2018.
MAM: Transfer learning for fully automatic video annotation and specialized detector creation
W. Fuhl, N. Castner, L. Zhuang, M. Holzer, W. Rosenstiel, and E. Kasneci. International Conference on Computer Vision Workshops, ICCVW, 2018.
Rule based learning for eye movement type detection
W. Fuhl, N. Castner, and E. Kasneci. International Conference on Multimodal Interaction Workshops, ICMIW, 2018.
2017
Effectiveness of Software-Based Hardening for Radiation-Induced Soft Errors in Real-Time Operating Systems
T. Santini, C. Borchert, C. Dietrich, H. Schirmeier, M. Hoffmann, O. Spinczyk, D. Lohmann, F. R., and P. Rech. Proceedings of the 30th International Conference on Architecture of Computing Systems - ARCS, 2017.
Fast and Robust Eyelid Outline and Aperture Detection in Real-World Scenarios
W. Fuhl, T. Santini, and E. Kasneci. IEEE Winter Conference on Applications of Computer Vision (WACV 2017), 2017.
Fast camera focus estimation for gaze-based focus control
W. Fuhl, T. Santini, and E. Kasneci. CoRR, 2017.
PupilNet v2.0: Convolutional Neural Networks for Robust Pupil Detection
W. Fuhl, T. Santini, G. Kasneci, and E. Kasneci. CoRR, 2017.
Selective suppression of local circuits during movement preparation in the mouse motor cortex
Masashi Hasegawa, Kei Majima, Takahide Itokazu, Takakuni Maki, Urban-Raphael Albrecht, Nora Castner, Mariko Izumo, Kazuhiro Sohya, Tatsuo K Sato, Yukiyasu Kamitani, and others. Cell reports 18(11): 2676–2686. Elsevier, 2017.
2016
Non-Intrusive Practitioner Pupil Detection for Unmodified Microscope Oculars
W. Fuhl, T. Santini, C. Reichert, D. Claus, A. Herkommer, H. Bahmani, K. Rifai, S. Wahl, and E. Kasneci. Elsevier Computers in Biology and Medicine 79: 36-44, 2016.
Evaluation of State-of-the-Art Pupil Detection Algorithms on Remote Eye Images
W. Fuhl, D. Geisler, T. Santini, and E. Kasneci. ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct publication – PETMEI 2016, 2016.
Eyes Wide Open? Eyelid Location and Eye Aperture Estimation for Pervasive Eye Tracking in Real-World Scenarios
W. Fuhl, T. Santini, D. Geisler, T. C. Kübler, W. Rosenstiel, and E. Kasneci. ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct publication – PETMEI 2016, 2016.
ElSe: Ellipse Selection for Robust Pupil Detection in Real-World Environments
W. Fuhl, T. Santini, T. C. Kübler, and E. Kasneci. Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications (ETRA), pages 123–130, 2016.
PupilNet: Convolutional Neural Networks for Robust Pupil Detection
W. Fuhl, T. Santini, G. Kasneci, and E. Kasneci. CoRR, 2016.
2015
ExCuSe: Robust Pupil Detection in Real-World Scenarios
W. Fuhl, T. C. Kübler, K. Sippel, W. Rosenstiel, and E. Kasneci. 16th International Conference on Computer Analysis of Images and Patterns (CAIP 2015), 2015.
Arbitrarily shaped areas of interest based on gaze density gradient
W. Fuhl, T. C. Kübler, K. Sippel, W. Rosenstiel, and E. Kasneci. European Conference on Eye Movements, ECEM 2015, 2015.
Eyetrace2014: Eyetracking Data Analysis Tool
K. Sippel, T. C. Kübler, W. Fuhl, G. Schievelbein, R. Rosenberg, and W. Rosenstiel. 8th International Conference on Health Informatics, Healthinf 2015, 2015.
Analysis of eye movements with Eyetrace
T. C. Kübler, K. Sippel, W. Fuhl, G. Schievelbein, J. Aufreiter, R. Rosenberg, W. Rosenstiel, and E. Kasneci. 574: 458-471. Biomedical Engineering Systems and Technologies. Communications in Computer and Information Science (CCIS). Springer International Publishing, 2015.
Online Recognition of Fixations, Saccades, and Smooth Pursuits for Automated Analysis of Traffic Hazard Perception
E. Kasneci, G. Kasneci, T. C. Kübler, and W. Rosenstiel. 4: 411-434. Artificial Neural Networks - Springer Series in Bio-/Neuroinformatics (Ed. Petia Koprinkova-Hristova, Valeri Mladenov, Nikola K. Kasabov), Springer International Publishing, 2015.