Prof. Dr. Enkelejda Kasneci

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University of Tübingen
Dpt. of Computer Science
Human-Computer Interaction
Sand 14
72076 Tübingen
Germany

Telephone
+49 - (0) 70 71 - 29 - 74015
Telefax
+49 - (0) 70 71 - 29 - 50 62
E-Mail
enkelejda.kasneci@uni-tuebingen.de
Office
Sand 14, C221
Office hours
on appointment

Publications on Google Scholar

Since August 2022, I am a Liesel Beckmann Distinguished Professor for Human-Centered Technologies for Learning at the Technical University of Munich. Please visit my new webpage.

Enkelejda Kasneci is a Professor of Computer Science at the University of Tübingen, Germany, where she leads since December 2019 the Human-Computer Interaction Lab. As a BOSCH scholar, she received her M.Sc. degree in Computer Science from the University of Stuttgart in 2007. In 2013, she received her PhD in Computer Science from the University of Tübingen. For her PhD research, she was awarded the research prize of the Federation Südwestmetall in 2014. From 2013 to 2015, she was a postdoctoral researcher and a Margarete-von-Wrangell Fellow at the University of Tübingen. She established her research and teaching activities at the University of Tübingen from 2015 to 2019 as an assistant professor and head of the Perception Engineering Lab. Her research evolves around the application of machine learning for intelligent and perceptual human-computer interaction. She serves as academic editor for PlosOne and as a TPC member and reviewer for several major conferences and journals in the areas of intelligent and multimodal human-computer interaction, computer vision, and cognitive computing.

Research Interests

  • Multimodal Human-Computer Interaction
  • Eye-tracking Methods and Applications, especially eye tracking in the wild
  • Eye movements and VR/AR
  • Cognitive Computing
  • Applied Machine Learning

Selected Invited taks (since 2015)

  • 2021: Invited talk at the IEEE VR 2021 Workshop “Towards a roadmap for privacy and security research for mixed reality applications”
  • 2021: Invited talk at CHI 2021 Workshop on Eye Movements as an Interface to Cognitive State
  • 2021: Invited Keynote at Adobe Research, Cambridge, MA, USA
  • 2020: GPRC/VMV 2020: Enhancing user models through visual scanpath analysis
  • 2020: ECCV 2020 OpenEyes: Eye Gaze in AR, VR and in the wild
  • 2020: Closing Keynote at Augmented Human, AH 2020
  • 2019: Machine Learning in Education, FernUni Hagen
  • 2019: Keynote at the ACM Symposium on Eye Tracking Research and Applications, ETRA 2019
  • 2019: Opening Keynote European Conference on Eye Movements, ECEM 2019
  • 2018: Keynote on Cognitive Interfaces, Ada-Lovelace-Festival, Berlin
  • 2018: Global Female Leaders Summit, Berlin
  • 2017: Hub.Berlin
  • 2017: Ada-Lovelace-Festival, Berlin
  • 2017: Eye-Tracking während des Fahrens, OCG Jahresopening 2017, Vienna
  • 2016: It’s in your eyes – How eye tracking will shape our future, Ada-Lovelace-Festival, Berlin
  • 2016: Maschinelles Lernen und Eye-Tracking-Technologie zur Erforschung der Mechanismen der visuellen Wahrnehmung, INFORMATIK2016, Klagenfurt

Scholarships, Awards and Administrative Functions

Publications

2023

Multiperspective Teaching of Unknown Objects via Shared-gaze-based Multimodal Human-Robot Interaction

Daniel Weber, Wolfgang Fuhl, Enkelejda Kasneci, and Andreas Zell. Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’23), 2023.

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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.

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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.

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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.

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Old or Modern? A Computational Model for Classifying Poem Comprehension using Microsaccades

Patrizia Lenhart, Enkeleda Thaqi, Nora Castner, and Enkelejda Kasneci. Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, pages 1–2, 2023.

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Gaze Patterns of Dentists while Evaluating Bitewing Radiographs

Lubaina T Arsiwala-Scheppach, Nora Castner, Csaba Rohrer, Sarah Mertens, Enkelejda Kasneci, Jose Eduardo Cejudo Grano de Oro, Joachim Krois, and Falk Schwendicke. Journal of Dentistry, pages 104585. Elsevier, 2023.

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Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs

Michael Kirchhof, Enkelejda Kasneci, and Seong Joon Oh. International Conference on Machine Learning (ICML), 2023.

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When are post-hoc conceptual explanations identifiable?

Tobias Leemann, Michael Kirchhof, Yao Rong, Enkelejda Kasneci, and Gjergji Kasneci. Uncertainty in Artificial Intelligence (UAI), 2023.

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Leveraging Saliency-Aware Gaze Heatmaps for Multiperspective Teaching of Unknown Objects

Daniel Weber, Valentin Bolz, Andreas Zell, and Enkelejda Kasneci. 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023.

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URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates

Michael Kirchhof, Bálint Mucsányi, Seong Joon Oh, and Enkelejda Kasneci. NeurIPS Datasets and Benchmarks, 2023.

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2022

Eye-Tracking-Based Prediction of User Experience in VR Locomotion Using Machine Learning

Hong Gao and Enkelejda Kasneci. Computer Graphics Forum. The Eurographics Association and John Wiley & Sons Ltd., 2022.

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Evaluation of Gait-Free Locomotion Methods with Eye Movement in Virtual Reality

Hong Gao, Lasse Frommelt, and Enkelejda Kasneci. 2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct), 2022.

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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.

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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.

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Tensor Normalization and Full Distribution Training

Wolfgang Fuhl and Enkelejda Kasneci. Conference on Artificial Intelligence Workshops, AAAI Workshop Adversarial Machine Learning and Beyond, 2022.

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HPCGen: Hierarchical K-Means Clustering and Level Based Principal Components for Scan Path Genaration

Wolfgang Fuhl and Enkelejda Kasneci. ACM Symposium on Eye Tracking Research & Applications, ETRA 2022. ACM, 2022.

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Maximum and Leaky Maximum Propagation

Wolfgang Fuhl and Enkelejda Kasneci. Proceedings of the International Joint Conference on Neural Networks, 2022.

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LSTMs can distinguish dental expert saccade behavior with high” plaque-urracy”

Nora Castner, Jonas Frankemölle, Constanze Keutel, Fabian Huettig, and Enkelejda Kasneci. 2022 Symposium on Eye Tracking Research and Applications, pages 1–7, 2022.

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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.

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Exploiting Augmented Reality for Extrinsic Robot Calibration and Eye-based Human-Robot Collaboration

Daniel Weber, Enkelejda Kasneci, and Andreas Zell. Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’22), 2022.

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Gaze-Based Object Detection in the Wild

Daniel Weber, Wolfgang Fuhl, Andreas Zell, and Enkelejda Kasneci. 2022 Sixth IEEE International Conference on Robotic Computing (IRC), 2022.

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A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning

Michael Kirchhof, Karsten Roth, Zeynep Akata, and Enkelejda Kasneci. European Conference on Computer Vision (ECCV), 2022.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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Multimodal Engagement Analysis from Facial Videos in the Classroom

Ömer Sümer, Patricia Goldberg, Sidney D’Mello, Peter Gerjets, Ulrich Trautwein, and Enkelejda Kasneci. arXiv preprint arXiv:2101.04215, 2021.

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Reinforcement learning for the privacy preservation and manipulation of eye tracking data

Wolfgang Fuhl, Efe Bozkir, and Enkelejda Kasneci. Proceedings of International Conference on Artificial Neural Networks, 2021.

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Differential Privacy for Eye Tracking with Temporal Correlations

Efe Bozkir, Onur Günlü, Wolfgang Fuhl, Rafael F. Schaefer, and Enkelejda Kasneci. PLoS ONE, 2021.

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Weight and Gradient Centralization in Deep Neural Networks

Wolfgang Fuhl and Enkelejda Kasneci. Proceedings of the International Conference on Artificial Neural Networks, 2021.

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Rotated Ring, Radial and Depth Wise Separable Radial Convolutions

Wolfgang Fuhl and Enkelejda Kasneci. Proceedings of the International Joint Conference on Neural Networks, 2021.

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The Index of Cognitive Activity Predicts Cognitive Processing Load in Linguistic Task

Hong Gao, Zijian Lu, Vera Demberg, and Enkelejda Kasneci. EMICS ’21: ACM CHI ’21 Workshop on Eye Movements as an Interface to Cognitive State, 2021.

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Digital Transformations of Classrooms in Virtual Reality

Hong Gao, Efe Bozkir, Lisa Hasenbein, Jens-Uwe Hahn, Richard Göllner, and Enkelejda Kasneci. CHI Conference on Human Factors in Computing Systems (CHI ’21). ACM, 2021.

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FakeNewsPerception: An eye movement dataset on the perceived believability of news stories

Ömer Sümer, Efe Bozkir, Thomas Kübler, Sven Grüner, Sonja Utz, and Enkelejda Kasneci. Data in Brief 35, 2021.

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55 Rides: Attention annotated Head and Gaze data during Naturalistic Driving

Thomas Kübler, Wolfgang Fuhl, Elena Wagner, and Enkelejda Kasneci. Eye-Tracking Research and Applications. ACM, 2021.

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Exploiting Object-of-Interest Information to Understand Attention in VR Classrooms

Efe Bozkir, Philipp Stark, Hong Gao, Lisa Hasenbein, Jens-Uwe Hahn, Enkelejda Kasneci, and Richard Göllner. 2021 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). IEEE, 2021.

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TüEyeQ, a rich IQ test performance data set with eye movement, educational and socio-demographic information

Enkelejda Kasneci, Gjergji Kasneci, Tobias Appel, Johannes Haug, Franz Wortha, Maike Tibus, Ulrich Trautwein, and Peter Gerjets. Scientific Data 8(1), 2021.

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2020

RemoteEye: An open-source high-speed remote eye tracker

Benedikt Hosp, Shahram Eivazi, Maximilian Maurer, Woflgang Fuhl, David Geisler, and Enkelejda Kasneci. Behavior Research Methods, pages 1–15. Springer, 2020.

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Automated Anonymisation of Visual and Audio Data in Classroom Studies

Ömer Sümer, Peter Gerjets, Ulrich Trautwein, and Enkelejda Kasneci. The Workshops of the Thirty-Forth AAAI Conference on Artificial Intelligence, 2020.

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Attention Flow: End-to-End Joint Attention Estimation

Ömer Sümer, Peter Gerjets, Ulrich Trautwein, and Enkelejda Kasneci. 2020 IEEE Winter Conference on Applications of Computer Vision (WACV) (): 3316-3325, 2020.

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Predicting visual perceivability of scene objects through spatio-temporal modeling of retinal receptive fields

David Geisler, Andrew T Duchowski, and Enkelejda Kasneci. Neurocomputing. Elsevier, 2020.

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Distilling Location Proposals of Unknown Objects Through Gaze Information for Human-Robot Interaction

Daniel Weber, Thiago Santini, Andreas Zell, and Enkelejda Kasneci. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2020.

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Deep semantic gaze embedding and scanpath comparison for expertise classification during OPT viewing

Nora Castner, Thomas C Kübler, Juliane Richter, Therese Eder, Fabian Huettig, Constanze Keutel, and Enkelejda Kasneci. Eye Tracking Research and Applications. ACM, 2020.

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Privacy Preserving Gaze Estimation using Synthetic Images via a Randomized Encoding Based Framework

Efe Bozkir, Ali Burak Ünal, Mete Akgün, Enkelejda Kasneci, and Nico Pfeifer. Eye Tracking Research and Applications. ACM, 2020.

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A Novel -Eye-Tracking Sensor for AR Glasses Based on Laser Self-Mixing Showing Exceptional Robustness Against Illumination

Johannes Meyer, Thomas Schlebusch, Hans Spruit, Jochen Hellmig, and Enkelejda Kasneci. Eye Tracking Research and Applications. ACM, 2020.

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Exploiting the GBVS for Saliency aware Gaze Heatmaps

David Geisler, Daniel Weber, Nora Castner, and Enkelejda Kasneci. ACM Symposium on Eye Tracking Research and Applications. ACM, 2020.

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A MinHash approach for fast scanpath classification

David Geisler, Nora Castner, Gjergji Kasneci, and Enkelejda Kasneci. Eye Tracking Research and Applications. ACM, 2020.

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Training Decision Trees as Replacement for Convolution Layers

W. Fuhl, G. Kasneci, W. Rosenstiel, and E. Kasneci. Conference on Artificial Intelligence, AAAI, 2020.

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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.

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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.

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A Novel Camera-Free Eye Tracking Sensor for Augmented Reality based on Laser Scanning

Johannes Meyer, Thomas Schlebusch, Wolfgang Fuhl, and Enkelejda Kasneci. Sensors Journal, pages 1-1. IEEE, 2020.

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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.

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Explainable Online Validation of Machine Learning Models for Practical Applications

Wolfgang Fuhl, Yao Rong, Thomas Motz, Michael Scheidt, Andreas Hartel, Andreas Koch, and Enkelejda Kasneci. Proceedings of the International Conference on Pattern Recognition, pages 0–0, 2020.

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Multi Layer Neural Networks as Replacement for Pooling Operations

Wolfgang Fuhl and Enkelejda Kasneci. arXiv preprint arXiv:2006.06969. CoRR, 2020.

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Eye Tracking Data Collection Protocol for VR for Remotely Located Subjects using Blockchain and Smart Contracts

Efe Bozkir, Shahram Eivazi, Mete Akgün, and Enkelejda Kasneci. IEEE International Conference on Artifical Intelligence and Virtual Reality (AIVR), 2020.

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Pupil diameter differentiates expertise in dental radiography visual search

Nora Castner, Tobias Appel, Thérése Eder, Juliane Richter, Katharina Scheiter, Constanze Keutel, Fabian Hüttig, Andrew Duchowski, and Enkelejda Kasneci. PLOS ONE 15(5): 1-19. Public Library of Science, 2020.

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Towards expert gaze modeling and recognition of a user’s attention in realtime

Nora Castner, Lea Geßler, David Geisler, Fabian Hüttig, and Enkelejda Kasneci. Procedia Computer Science 176. Elsevier, 2020.

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Driver Intention Anticipation Based on In-Cabin and Driving Scene Monitoring

Rong Yao, Akata Zeynep, and Kasneci Enkelejda. IEEE Conference on Intelligent Transportation Systems (ITSC), 2020, pages 0–0, 2020.

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The display makes a difference: A mobile eye tracking study on the perception of art before and after a museum’s rearrangement

L. Reitstätter, H. Brinkmann, T. Santini, E. Specker, Z. Dare, F. Bakondi, A. Miscená, E. Kasneci, H. Leder, and R. Rosenberg. Peer-reviewed publication, 2020.

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Driver Drowsiness Classification Based on Eye Blink and Head Movement Features Using the k-NN Algorithm

Mariella Dreißig, Mohamed Baccour, Tim Schäck, and Enkelejda Kasneci. Peer-reviewed publication. IEEE, 2020.

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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.

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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.

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Person Independent, Privacy Preserving, and Real Time Assessment of Cognitive Load using Eye Tracking in a Virtual Reality Setup

Efe Bozkir, David Geisler, and Enkelejda Kasneci. The IEEE Conference on Virtual Reality and 3D User Interfaces (VR) Workshops, 2019.

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Improving Real-Time CNN-Based Pupil Detection Through Domain-Specific Data Augmentation

S. Eivazi, T. Santini, A. Keshavarzi, T. C. Kübler, and A. Mazzei. Proceedings of the 2019 ACM Symposium on Eye Tracking Research & Applications (ETRA) – To Appear, 2019.

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Get a Grip: Slippage-Robust and Glint-Free Gaze Estimation for Real-Time Pervasive Head-Mounted Eye Tracking

T. Santini, D. Niehorster, and E. Kasneci. Proceedings of the 2019 ACM Symposium on Eye Tracking Research & Applications (ETRA), 2019.

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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.

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500,000 images closer to eyelid and pupil segmentation

W. Fuhl, W. Rosenstiel, and E. Kasneci. Computer Analysis of Images and Patterns, CAIP, 2019.

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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.

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Learning to validate the quality of detected landmarks

W. Fuhl and E. Kasneci. International Conference on Machine Vision, ICMV, 2019.

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Assessment of Driver Attention During a Safety Critical Situation in VR to Generate VR-based Training

Efe Bozkir, David Geisler, and Enkelejda Kasneci. ACM Symposium on Applied Perception 2019, 2019.

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2018

Teachers’ Perception in the Classroom

Ö. Sümer, P. Goldberg, K. Stürmer, T. Seidel, P. Gerjets, U. Trautwein, and E. Kasneci. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2018.

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Eye-Hand Behavior in Human-Robot Shared Manipulation

R. M., T. Santini, T. C. Kübler, E. Kasneci, S. Srinivasa, and H. Admoni. Proceedings of the 13th Annual ACM/IEEE International Conference on Human Robot Interaction, 2018.

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Real-time 3D Glint Detection in Remote Eye Tracking Based on Bayesian Inference

David Geisler, Dieter Fox, and Enkelejda Kasneci. International Conference on Robotics and Automation (ICRA), 2018.

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PuRe: Robust Pupil Detection for Real-Time Pervasive Eye Tracking

T. Santini, W. Fuhl, and E. Kasneci. Elsevier Computer Vision and Image Understanding To Appear, 2018.

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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.

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PuReST: Robust Pupil Tracking for Real-Time Pervasive Eye Tracking

T. Santini, W. Fuhl, and E. Kasneci. Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications (ETRA), 2018.

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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.

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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.

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Development and Evaluation of a Gaze Feedback System Integrated into EyeTrace

K. Otto, N. Castner, D. Geisler, and E. Kasneci. Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications (ETRA) , 2018.

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An Inconspicuous and Modular Head-Mounted Eye Tracker

S. Eivazi, T. Kübler, T. Santini, and E. Kasneci. Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications (ETRA) , 2018.

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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.

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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.

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Scanpath comparison in medical image reading skills of dental students

N. Castner, E. Kasneci, T. C. Kübler, K. Scheiter, and J. Richter. Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications (ETRA), 2018.

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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.

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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.

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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.

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Rule based learning for eye movement type detection

W. Fuhl, N. Castner, and E. Kasneci. International Conference on Multimodal Interaction Workshops, ICMIW, 2018.

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Histogram of oriented velocities for eye movement detection

W. Fuhl, N. Castner, and E. Kasneci. International Conference on Multimodal Interaction Workshops, ICMIW, 2018.

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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.

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2017

Online recognition of driver-activity based on visual scanpath classification

Christian Braunagel, David Geisler, Wolfgang Rosenstiel, and Enkelejda Kasneci. IEEE Intelligent Transportation Systems Magazine 9(4): 23–36. IEEE, 2017.

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Eye tracking as a tool to evaluate functional ability in everyday tasks in glaucoma

E. Kasneci, A. A., and J. M.. Journal of Ophthalmology Article ID 6425913, 2017.

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Saliency Sandbox: Bottom-Up Saliency Framework

D. Geisler, W. Fuhl, T. Santini, and E. Kasneci. 12th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017), 2017.

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EyeRecToo: Open-Source Software for Real-Time Pervasive Head-Mounted Eye-Tracking

T. Santini, W. Fuhl, D. Geisler, and E. Kasneci. 12th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017), 2017.

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EyeLad: Remote Eye Tracking Image Labeling Tool

W. Fuhl, T. Santini, D. Geisler, T. C. Kübler, and E. Kasneci. 12th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017), 2017.

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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.

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Aggregating physiological and eye tracking signals to predict perception in the absence of ground truth

E. Kasneci, T. C. Kübler, K. Broelemann, and G. Kasneci. Computers in Human Behavior, Elsevier 68: 450-455, 2017.

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Ways of improving the precision of eye tracking data: Controlling the influence of dirt and dust on pupil detection

W. Fuhl, T. C. Kübler, D. Hospach, O. Bringmann, W. Rosenstiel, and E. Kasneci. Journal of Eye Movement Research 10(3), 2017.

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CalibMe: Fast and Unsupervised Eye Tracker Calibration for Gaze-Based Pervasive Human-Computer Interaction

T. Santini, W. Fuhl, and E. Kasneci. Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017.

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Towards pervasive eye tracking

E. Kasneci. it-Information Technology, De Gruyter Oldenbourg, 2017.

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Using Eye Tracking to Evaluate and Develop Innovative Teaching Strategies for Fostering Image Reading Skills of Novices in Medical Training

N. Castner, S. Eivazi, K. Scheiter, and E. Kasneci. Eye Tracking Enhanced Learning (ETEL2017), 2017.

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Automatic Mapping of Remote Crowd Gaze to Stimuli in the Classroom

T. Santini, T. C. Kübler, L. Draghetti, P. Gerjets, W. Wagner, U. Trautwein, and E. Kasneci. Eye Tracking Enhanced Learning (ETEL2017), 2017.

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Towards Intelligent Surgical Microscopes: Surgeons Gaze and Instrument Tracking

Shahram Eivazi, Wolfgang Fuhl, and Enkelejda Kasneci. Proceedings of the 22st International Conference on Intelligent User Interfaces, IUI 2017. ACM, 2017.

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Towards automatic skill evaluation in microsurgery

Shahram Eivazi, Michael Slupina, Wolfgang Fuhl, Hoorieh Afkari, Ahmad Hafez, and Enkelejda Kasneci. Proceedings of the 22st International Conference on Intelligent User Interfaces, IUI 2017. ACM, 2017.

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Monitoring Response Quality During Campimetry Via Eye-Tracking

G. Dambros, J. Ungewiss, T. C. Kübler, E. Kasneci, and M. Spüler. Proceedings of the 22st International Conference on Intelligent User Interfaces, IUI 2017, ACM, 2017.

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PupilNet v2.0: Convolutional Neural Networks for Robust Pupil Detection

W. Fuhl, T. Santini, G. Kasneci, and E. Kasneci. CoRR, 2017.

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Fast camera focus estimation for gaze-based focus control

W. Fuhl, T. Santini, and E. Kasneci. CoRR, 2017.

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Optimal eye movement strategies: a comparison of neurosurgeons gaze patterns when using a surgical microscope

S. Eivazi, A. Hafez, W. Fuhl, H. Afkari, E. Kasneci, M. Lehecka, and R. Bednarik. Acta Neurochirurgica, 2017.

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2016

EyeRec: An Open-source Data Acquisition Software for Head-mounted Eye-tracking

T. Santini, W. Fuhl, T. C. Kübler, and E. Kasneci. Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) 3: VISAPP: 386–391, 2016.

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3D Gaze Estimation Using Eye Vergence

E.G. Mlot, H. Bahmani, S. Wahl, and E. Kasneci. 9th International Conference on Health Informatics, Healthinf 2016, 2016.

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Rendering refraction and reflection of eyeglasses for synthetic eye tracker images

T. C. Kübler, T. Rittig, J. Ungewiss, C. Krauss, and E. Kasneci. ACM Symposium on Eye Tracking Research and Applications, ETRA 2016, 2016.

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On the necessity of adaptive eye movement classification in conditionally automated driving scenarios

C. Braunagel, D. Geisler, W. Stolzmann, W. Rosenstiel, and E. Kasneci. ACM Symposium on Eye Tracking Research & Applications, ETRA 2016, 2016.

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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.

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Bayesian Identification of Fixations, Saccades, and Smooth Pursuits

T. Santini, W. Fuhl, T. C. Kübler, and E. Kasneci. Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications (ETRA), pages 163–170, 2016.

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Pupil detection for head-mounted eye tracking in the wild: An evaluation of the state of the art

Wolfgang Fuhl, Marc Tonsen, Andreas Bulling, and Enkelejda Kasneci. Machine Vision and Applications, pages 1-14, 2016.

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SubsMatch 2.0: Scanpath comparison and classification based on subsequence frequencies

T. C. Kübler, C. Rothe, U. Schiefer, W. Rosenstiel, and E. Kasneci. Behavior Research Methods online first: 1-17, 2016.

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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.

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Brightness- and Motion-Based Blink Detection for Head-Mounted Eye Trackers

T. Appel, T. Santini, and E. Kasneci. ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct publication – PETMEI 2016, 2016.

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Novel methods for analysis and visualization of saccade trajectories

T. C. Kübler, W. Fuhl, R. Rosenberg, W. Rosenstiel, and E. Kasneci. 3. ECCV Workshop VISART 2016, 2016.

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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.

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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.

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Feature-based attentional influences on the accommodation response

H. Bahmani, W. Fuhl, E. Gutierrez, G. Kasneci, E. Kasneci, and S. Wahl. Vision Sciences Society Annual Meeting Abstract, 2016.

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PupilNet: Convolutional Neural Networks for Robust Pupil Detection

W. Fuhl, T. Santini, G. Kasneci, and E. Kasneci. CoRR, 2016.

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2015

Towards Automated Scan Pattern Analysis for Dynamic Scenes

J. Ungewiss, T. C. Kübler, D.R. Bukenberger, E. Kasneci, and U. Schiefer. The Eye, The Brain And The Auto 2015, 2015.

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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.

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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.

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Exploiting the potential of eye movements analysis in the driving context

E. Kasneci, T. C. Kübler, C. Braunagel, W. Fuhl, W. Stolzmann, and W. Rosenstiel. 15. Internationales Stuttgarter Symposium Automobil- und Motorentechnik. Springer Fachmedien Wiesbaden, 2015.

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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.

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Driver-Activity Recognition in the Context of Conditionally Autonomous Driving

C. Braunagel, E. Kasneci, W. Stolzmann, and W. Rosenstiel. 18th International IEEE Conference on Intelligent Transportation Systems (ITSC 2015), 2015.

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Automated Comparison of Scanpaths in Dynamic Scenes

T. C. Kübler and E. Kasneci. Pfeiffer, Thies ; Essig, Kai (Hrsg.): Proceedings of the 2nd International Workshop on Solutions for Automatic Gaze Data Analysis 2015 (SAGA 2015), 2015.

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Automated Visual Scanpath Analysis Reveals the Expertise Level of Micro-neurosurgeons

T. C. Kübler, S. Eivazi, and E. Kasneci. MICCAI 15 Workshop on Interventional Microscopy, 2015.

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Driving with Glaucoma: Task Performance and Gaze Movements

T. C. Kübler, E. Kasneci, K. Aehling, M. Heister, W. Rosenstiel, U. Schiefer, and E. Papageorgiou. Optometry and Vision Science 92(11): 1037-1046, 2015.

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Driving with Homonymous Visual Field Defects: Driving Performance and Compensatory Gaze Movements

T. C. Kübler, E. Kasneci, W. Rosenstiel, K. Aehling, M. Heister, K. Nagel, U. Schiefer, and E. Papageorgiou. Journal of Eye Movement Research 8(5): 1-11, 2015.

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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.

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2014

Driving with Binocular Visual Field Loss? A Study on a Supervised On-road Parcours with Simultaneous Eye and Head Tracking

E. Kasneci, K. Sippel, K. Aehling, M. Heister, W. Rosenstiel, U. Schiefer, and E. Papageorgiou. PLoS ONE 9(2): e87470, 2014.

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The Applicability of Probabilistic Methods to the Online Recognition of Fixations and Saccades in Dynamic Scenes

E. Kasneci, G. Kasneci, T. C. Kübler, and W. Rosenstiel. Proceedings of the 8th Symposium on Eye Tracking Research and Applications, ETRA 2014, pages 323-326, 2014.

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SubsMatch: Scanpath Similarity in Dynamic Scenes based on Subsequence Frequencies

T. C. Kübler, E. Kasneci, and W. Rosenstiel. Proceedings of the 8th Symposium on Eye Tracking Research and Applications, ETRA 2014, pages 319-322, 2014.

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Rule-based classification of visual field defects

E. Kasneci, G. Kasneci, U. Schiefer, and W. Rosenstiel. 7th International Conference on Health Informatics (HEALTHINF 2014), 2014.

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Stress-indicators and exploratory gaze for the analysis of hazard perception in patients with visual field loss

T. C. Kübler, E. Kasneci, W. Rosenstiel, U. Schiefer, K. Nagel, and E. Papageorgiou. Transportation Research Part F: Traffic Psychology and Behaviour 24: 231 - 243, 2014.

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Binocular Glaucomatous Visual Field Loss and Its Impact on Visual Exploration - A Supermarket Study

K. Sippel, E. Kasneci, K. Aehling, M. Heister, W. Rosenstiel, U. Schiefer, and E. Papageorgiou. PLoS ONE 9(8): e106089, 2014.

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Homonymous Visual Field Loss and its Impact on Visual Exploration - A Supermarket Study

E. Kasneci, K. Sippel, K. Aehling, M. Heister, W. Rosenstiel, U. Schiefer, and E. Papageorgiou. Translational Vision Science & Technology In Press, 2014.

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Towards automated comparison of eye-tracking recordings in dynamic scenes

T. C. Kübler, D. R., J. Ungewiss, A. Wörner, C. Rothe, U. Schiefer, W. Rosenstiel, and E. Kasneci. EUVIP 2014, 2014.

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2013

A New Method for Assessing the Exploratory Field of View (EFOV)

E. Tafaj, S. Hempel, M. Heister, K. Aehling, J. Dietzsch, F. Schaeffel, W. Rosenstiel, and U. Schiefer. 6th International Conference on Health Informatics, HEALTHINF 2013, 2013.

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Online Classification of Eye Tracking Data for Automated Analysis of Traffic Hazard Perception

E. Tafaj, T. C. Kübler, G. Kasneci, W. Rosenstiel, and M. Bogdan. Artificial Neural Networks and Machine Learning (ICANN 2013), 2013.

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Auswirkungen des visuellen Explorationsverhaltens von Patienten mit binokularen Gesichtsfelddefekten auf alltagsrelevante Tätigkeiten - Ergebnisse der TUTOR-Studie

U. Schiefer, T. C. Kübler, M. Heister, K. Aehling, K. Sippel, E. Papageorgiou, W. Rosenstiel, and E. Tafaj. 111. DOG-Kongress, 2013.

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Towards the Automated Recognition of Assistance Need for Drivers with Impaired Visual Field

E. Kasneci. PhD thesis. Universität Tübingen, 2013.

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2012

Erste Ergebnisse der TUTOR-Pilotstudie: Binokulare Gesichtsfeldausfälle und deren Auswirkungen auf die visuelle Exploration

U. Schiefer, K. Sippel, M. Heister, K. Aehling, C. Heine, K. Januschowski, E. Papageorgiou, W. Rosenstiel, and E. Tafaj. Ophthalmologische Nachrichten, 09.2012, 2012.

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Bayesian Online Clustering of Eye-Tracking Data

E. Tafaj, G. Kasneci, W. Rosenstiel, and M. Bogdan. Eye Tracking Research and Applications (ETRA 2012), 2012.

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2011

Reliable Classification of visual field defects in automated perimetry using clustering

E. Tafaj, J. Dietzsch, U. Schiefer, W. Rosenstiel, and M. Bogdan. Proceedings 8th IASTED/IEEE International Conference on Biomedical Engineering, pages 446 - 451, 2011.

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Methode zur Messung der physiologischen Blendung im Fahrsimulator

V. Melcher, M. Aust, O. Stefani, E. Lösch, H. Wilhelm, and E. Tafaj. 57. Frühjahrskongress der Gesellschaft für Arbeitswissenschaft e. V.: "Mensch, Technik, Organisation - Vernetzung im Produktentstehungs- und -herstellungsprozess", Chemnitz, 03/2011, 2011.

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Fast extraction of neuron morphologies from large-scale electron-microscopic image stacks

S. Lang, P. Drouvelis, E. Tafaj, P. Bastian, and B. Sakmann. Journal of Computational Neuroscience, 2011.

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Zukünftige Fahrzeuge adaptieren sich auf den Fahrer: Identifikation charakteristischer Verhaltensmerkmale von Fahrzeugführern unter demographischen Gesichtspunkten

E. Tafaj, P. Rumbolz, M. Bogdan, J. Wiedemann, and W. Rosenstiel. GMM-Fachbericht Band 69 zur Tagung Automotive meets Electronics 2011, Dortmund, 2011.

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Vishnoo - An Open-Source Software for Vision Research

E. Tafaj, T. C. Kübler, J. Peter, U. Schiefer, and M. Bogdan. 24th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2011), Bristol, UK, 2011.

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2010

Introduction of a Portable Campimeter Based on a Laptop/Tablet PC

E. Tafaj, C. Uebber, J. Dietzsch, U. Schiefer, M. Bogdan, and W. Rosenstiel. Proceedings of the 19th Imaging and Perimetry Society (IPS), Tenerife, Spain, 2010.

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Fahrzeugentwicklung für eine Gesellschaft im demografischen Wandel. H. Häfner, K. Beyreuther, W. Schlicht (Hrsg.). Altern gestalten, Medizin, Technik, Umwelt

J. Wiedemann, M. Horn, W. Rosenstiel, and E. Tafaj. , pages 109-120. Springer-Verlag Berlin Heidelberg 2010, 2010.

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Teaching

Course Term
Eye-based Human-Computer Interaction
Eye-based Human-Computer Interaction
Forschungsprojekt AB Kasneci
Forschungsprojekt Human-Computer Interaction
Forschungsprojekt AB E. Kasneci
Grundlagen der Multimediatechnik
Grundlagen der Multimediatechnik
Human-AI Interaction
Multimodale Mensch-Maschine Interaktion
Praktikum zu Grundlagen der Multimediatechnik
Programmierung in C/C++
Proseminar Grundlagen Mensch-Maschine Interaktion
Proseminar Medieninformatik: Barrierefreies Webdesign
Proseminar Medieninformatik: Barrierefreies Webdesign
Proseminar Medieninformatik: Introductory Topics in Human-Computer Interaction
Seminar Advanced Topics in Human-Computer Interaction
Seminar: Advanced Topics in Human-Computer Interaction
Seminar Advanced Topics in Perception Engineering
Teamprojekt: Building your own Eye Tracker
Teamprojekt: Machine Learning in the Field of Eye Tracking
Teamprojekt Machine Learning in the Field of Eye Tracking
Teamprojekt: Machine Learning in the Field of Eye Tracking
Teamprojekt Remote Eye Tracking
Teamprojekt: Web Pages Personalization using Reinforcement Learning Technology
User Experience
User Experience
User Experience
Advanced Topics in Perception Engineering
Advanced Topics in Perception Engineering
Computational Models of Visual Attention
Eye Movements and Visual Perception
Eye Movements and Visual Perception
Eye Movements and Visual Perception
Eye Movements and Visual Perception
Grundlagen der Multimediatechnik
Praktikum zu Grundlagen der Multimediatechnik
Programmieren mobiler eingebetteter Systeme
Programmieren mobiler eingebetteter Systeme
Programmieren mobiler eingebetteter Systeme
Programmieren mobiler eingebetteter Systeme
Technische Anwendungen der Informatik: Hard- und Software aktueller Eye-Tracking-Systeme
Technische Anwendungen der Informatik: Hard- und Software aktueller Eye-Tracking-Systeme
Technische Anwendungen der Informatik: Hard- und Software aktueller Eye-Tracking-Systeme
Seminar: Advanced Topics in Perception Engineering
Eye Tracking in Mobile Computing and Virtual Reality

Open Thesis Topics

10.07.2019

Automatisierter Scanpath Vergleich

Menschen können ihre Aufmerksamkeit gezielt lenken. Eine Methode diese Aufmerksamkeitszuweisung aufzuzeichnen sind Eye-Tracking Aufnahmen: Objekte, die momentan interessant sind, werden mit den Augen fixiert. Oftmals ist es nicht nur interessant, wohin einzelne Individuen ihre Aufmerksamkeit lenken, sondern auch ein Vergleich zwischen Individuen oder verschiedenen Zeitpunkten. Hierzu werden diese auf einfache Elemente reduziert: Fixationen und Sakkaden (schnelle Augenbewegungen). Die zeitliche Abfolge und räumliche Position von Fixationen und Sakkaden nennt man Scanpath. Aktuelle Vergleichsmetoden basieren auf zwei verschiedenen Ansätzen:

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