2024
Enriching Tabular Data with Contextual LLM Embeddings: A Comprehensive Ablation Study for Ensemble Classifiers
Kasneci, G., & Kasneci, E. (2024). Enriching tabular data with contextual LLM embeddings: A comprehensive ablation study for ensemble classifiers (Version 2). arXiv. https://doi.org/10.48550/arXiv.2411.01645
Analyzing Communication Logs in Pair Programming: A Comparison of Human-and LLM-Based Approaches
W. Jang, R. Hou, H. Gao and E. Kasneci, 2024. 21st International Conference on Information Technology Based Higher Education and Training (ITHET), Paris, France, 2024, pp. 1-7, doi: 10.1109/ITHET61869.2024.10837662
OCDet: Object Center Detection via Bounding Box-Aware Heatmap Prediction on Edge Devices with NPUs
Chen, X., Motz, T., Hartel, A., & Kasneci, E. (2024). OCDet: Object center detection via bounding box-aware heatmap prediction on edge devices with NPUs (Version 1). arXiv. https://doi.org/10.48550/arXiv.2411.15653
Taking another look at intelligence and personality using an eye-tracking approach
Bardach, L., Schumacher, A., Trautwein, U. et al. npj Sci. Learn. 9, 41 (2024). https://doi.org/10.1038/s41539-024-00252-8
Temporal dynamics of meta-awareness of mind wandering during lecture viewing: Implications for learning and automated assessment using machine learning.
Bühler, B., Bozkir, E., Goldberg, P., Deininger, H., D'Mello, S., Gerjets, P., Trautwein, U., & Kasneci, E. (2025). Journal of Educational Psychology, 117(1), 38–62. https://doi.org/10.1037/edu0000903
Can AI grade your essays? A comparative analysis of large language models and teacher ratings in multidimensional essay scoring
Seßler, K., Fürstenberg, M., Bühler, B., & Kasneci, E. (2024). Can AI grade your essays? A comparative analysis of large language models and teacher ratings in multidimensional essay scoring (Version 1). arXiv. https://doi.org/10.48550/arXiv.2411.16337
Adaptive Gen-AI Guidance in Virtual Reality: A Multimodal Exploration of Engagement in Neapolitan Pizza-Making
Lau, K. H. C., Sen, S., Stark, P., Bozkir, E., & Kasneci, E. (2025). Adaptive Gen-AI guidance in virtual reality: A multimodal exploration of engagement in Neapolitan pizza-making (Version 2). arXiv. https://doi.org/10.48550/arXiv.2411.18438
Can You Tell Real from Fake Face Images? Perception of Computer-Generated Faces by Humans
Bozkir, E., Riedmiller, C., Skodras, A. N., Kasneci, G., & Kasneci, E. (2024).ACM Transactions on Applied Perception, Volume 22, Issue 2. Article No.: 6, Pages 1 - 23. https://doi.org/10.1145/3696667
Personalization through adaptivity or adaptability? A meta-analysis on simulation-based learning in higher education
Chernikova, O., Sommerhoff, D., Stadler, M., Holzberger, D., Nickl, M., Seidel, T., Kasneci, E., Küchemann, S., Kuhn, J., Fischer, F., & Heitzmann, N. (2025). Personalization through adaptivity or adaptability? A meta-analysis on simulation-based learning in higher education. Educational Research Review, 46, Article 100662. https://doi.org/10.1016/j.edurev.2024.100662
Imperceptible Gaze Guidance Through Ocularity in Virtual Reality
Maquiling, V., Zhaoping, L., & Kasneci, E. (2024). Imperceptible gaze guidance through ocularity in virtual reality (Version 1). arXiv. https://doi.org/10.48550/arXiv.2412.09204
Zero-Shot Pupil Segmentation with SAM 2: A Case Study of Over 14 Million Images
Maquiling, V., Byrne, S. A., Niehorster, D. C., Carminati, M., & Kasneci, E. (2025). Zero-shot pupil segmentation with SAM 2: A case study of over 14 million images (Version 3). arXiv. https://doi.org/10.48550/arXiv.2410.08926
Detecting Aware and Unaware Mind Wandering During Lecture Viewing: A Multimodal Machine Learning Approach Using Eye Tracking, Facial Videos and Physiological Data
Bühler, B., Bozkir, E., Deininger, H., Goldberg, P., Gerjets, P., Trautwein, U., & Kasneci, E. (2024).
Wrapped in Anansi's Web: Unweaving the Impacts of Generative-AI Personalization and VR Immersion in Oral Storytelling
Lau, K. H. C., Yun, B., Saruba, S., Bozkir, E., & Kasneci, E. (2024).
From Passive Watching to Active Learning: Empowering Proactive Participation in Digital Classrooms with AI Video Assistant
Bodonhelyi, A., Thaqi, E., Özdel, S., Bozkir, E., & Kasneci, E. (2025). From passive watching to active learning: Empowering proactive participation in digital classrooms with AI video assistant (Version 2). arXiv. https://doi.org/10.48550/arXiv.2409.15843
Lessons learned from a multimodal sensor-based eHealth approach for treating pediatric obsessive-compulsive disorder
Renner, T. J., Gawrilow, C., Conzelmann, A., Giese, M. A., Kasneci, E., Swoboda, W., ... & Klein, C. S. (2024).
Enhancing Student Motivation Through LLM-Powered Learning Environments: A Comparative Study
Seßler, K., Kepir, O., & Kasneci, E. (2024).
DataliVR: Transformation of Data Literacy Education through Virtual Reality with ChatGPT-Powered Enhancements
Gao, H., Huai, H., Yildiz-Degirmenci, S., Bannert, M., & Kasneci, E. (2024).
Benchmarking Large Language Models for Math Reasoning Tasks
Seßler, K., Rong, Y., Gözlüklü, E., & Kasneci, E. (2024).
Evaluating Usability and Engagement of Large Language Models in Virtual Reality for Traditional Scottish Curling
Lau, K. H. C., Bozkir, E., Gao, H., & Kasneci, E. (2024).
Expert gaze as a usability indicator of medical AI decision support systems: a preliminary study
Castner, N., Arsiwala-Scheppach, L., Mertens, S., Krois, J., Thaqi, E., Kasneci, E., Wahl, S., & Schwendicke, F. (2024).
DART: An Automated End-to-End Object Detection Pipeline with Data Diversification, Open-Vocabulary Bounding Box Annotation, Pseudo-Label Review, and Model Training
Xin, C., Hartel, A., & Kasneci, E. (2024).
Exploring Learning Interactions in a VR Training on Data Literacy
Yildiz-Degirmenci, S., Pflieger, L. C. J., Gao, H., Kasneci, E., & Bannert, M. (2024).
11th International Conference of EARLI SIG16 Metacognition and Self-Regulated Learning for Research on Learning and Instruction
From the Lab to the Wild: Examining Generalizability of Video-based Mind Wandering Detection
Bühler, B., Bozkir, E., Goldberg, P., Sümer, Ö., D'Mello, S., Gerjets, P., Trautwein, U., & Kasneci, E. (2024).
International Journal of Artificial Intelligence in Education 1-35
Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention
Özdel, S., Rong, Y., Albaba, B. M., Kuo, Y.-L., Wang, X., & Kasneci, E. (2024).
ETRA '24: Proceedings of the 2024 Symposium on Eye Tracking Research and Applications
June 2024 Article No.: 12, Pages 1 - 9
A Transformer-Based Model for the Prediction of Human Gaze Behavior on Videos
Özdel, S., Rong, Y., Albaba, B. M., Kuo, Y.-L., Wang, X., & Kasneci, E. (2024).
ETRA '24: Proceedings of the 2024 Symposium on Eye Tracking Research and Applications
June 2024 Article No.: 1, Pages 1 - 6
Exploring Eye Tracking as a Measure for Cognitive Load Detection in VR Locomotion
Gao, H., & Kasneci, E. (2024).
ETRA '24: Proceedings of the 2024 Symposium on Eye Tracking Research and Applications
June 2024 Article No.: 38, Pages 1 - 3
Using Gaze Transition Entropy to Detect Classroom Discourse in a Virtual Reality Classroom
Stark, P., Jung, A. J., Hahn, J.-U., Kasneci, E., & Göllner, R. (2024).
ETRA '24: Proceedings of the 2024 Symposium on Eye Tracking Research and Applications
June 2024 Article No.: 23, Pages 1 - 11
The impact of presentation modes on mental rotation processing: a comparative analysis of eye movements and performance
Stark, P., Bozkir, E., Sójka, W., Huff, M., Kasneci, E., & Göllner, R. (2024).
Wie funktionieren ChatGPT und Co eigentlich?
Pädagogik (ISSN 0933-422X), Ausgabe 3, Jahr 2024, Seite 11 - 14
Kasneci, E. (2024).
Automated Assessment of Encouragement and Warmth in Classrooms Leveraging Multimodal Emotional Features and ChatGPT
Hou, R., Fütterer, T., Bühler, B., Bozkir, E., Gerjets, P., Trautwein, U., & Kasneci, E. (2024).
Introduction to Eye Tracking: A Hands-On Tutorial for Students and Practitioners
Kasneci, E., Gao, H., Ozdel, S., Maquiling, V., Thaqi, E., Lau, K. H. C., Rong, Y., Kasneci, G., & Bozkir, E. (2024).
Faithful Attention Explainer: Verbalizing Decisions Based on Discriminative Features
Rong, Y., Sheerer, D., & Kasneci, E. (2024).
Zero-Shot Segmentation of Eye Features Using the Segment Anything Model (SAM)
Maquiling, V., Byrne, S. A., Niehorster, D. C., Nyström, M., & Kasneci, E. (2024).
Proceedings of the ACM on Computer Graphics and Interactive Techniques Volume 7
Article No.: 26pp 1–16
Privacy-preserving Scanpath Comparison for Pervasive Eye Tracking
Özdel, S., Bozkir, E., & Kasneci, E. (2024).
Proceedings of the ACM on Human-Computer Interaction Volume 8 ETRA
Article No.: 231pp 1–28
SARA: Smart AI Reading Assistant for Reading Comprehension
Thaqi, E., Mantawy, M., & Kasneci, E. (2024).
On Task and in Sync: Examining the Relationship between Gaze Synchrony and Self-Reported Attention During Video Lecture Learning
Bühler, B., Bozkir, E., Deininger, H., Gerjets, P., Trautwein, U., & Kasneci, E. (2024
arXiv preprint arXiv:2404.00333
Exploring Communication Dynamics: Eye-tracking Analysis in Pair Programming of Computer Science Education
Jang, W., Gao, H., Michaeli, T., & Kasneci, E. (2024).
arXiv preprint arXiv:2403.19560
Mapping Mind Wandering to the ‘Self-Regulated Learning Process, Multimodal Data, and Analysis Grid’: A Systematic Review
Bühler, B., Fütterer, T., von Keyserlingk, L., Bozkir, E., Kasneci, E., Gerjets, P., & Trautwein, U. (2024).
OSF
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise
Rong, Y., Qian, P., Unhelkar, V., & Kasneci, E. (2024).
Proceedings of the AAAI Conference on Artificial Intelligence 38 (19), 21545 …
Gaze-based attention network analysis in a virtual reality classroom
Stark, P., Hasenbein, L., Kasneci, E., & Göllner, R. (2024).
Pretrained Visual Uncertainties
Kirchhof, M., Collier, M., Oh, S. J., & Kasneci, E. (2024).
Stepwise Self-Consistent Mathematical Reasoning with Large Language Models
Zhao, Z., Rong, Y., Guo, D., Gözlüklü, E., Gülboy, E., & Kasneci, E. (2024).
Embedding Large Language Models into Extended Reality: Opportunities and Challenges for Inclusion, Engagement, and Privacy
Bozkir, E., Özdel, S., Lau, K. H. C., Wang, M., Gao, H., & Kasneci, E. (2024).
User Intent Recognition and Satisfaction with Large Language Models: A User Study with ChatGPT
Bodonhelyi, A., Bozkir, E., Yang, S., Kasneci, E., & Kasneci, G. (2024).
From Lenses to Living Rooms: A Policy Brief on Eye Tracking in XR Before the Impending Boom
Byrne, S. A., Castner, N., Bozkir, E., Niehorster, D. C., & Kasneci, E. (2024).
2024 IEEE International Conference on Artificial Intelligence and eXtended …
Retraction Note: Eye tracking: empirical foundations for a minimal reporting guideline
Kasneci, E., et al. (2022).
Retraction Note: Behavior Research Methods (2022) 55:364-416
TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients
Wang, M., Bodonhelyi, A., Bozkir, E., & Kasneci, E. (2024).
AAAI 24
The impact of a usefulness intervention on students’ learning achievement in a virtual biology lesson: An eye-tracking-based approach
Ferdinand, J., Gao, H., Stark, P., Bozkir, E., Hahn, J.-U., Kasneci, E., & Göllner, R. (2024).
Are Large Multimodal Foundation Models all we need? On Opportunities and Challenges of these Models in Education.
Küchemann, S., Avila, K. E., Dinc, Y., Hortmann, C., Revenga, N., Ruf, V., ... & Kuhn, J. (2024).
Taking the Next Step with Generative Artificial Intelligence: The Transformative Role of Multimodal Large Language Models in Science Education
Bewersdorff, A., Hartmann, C., Hornberger, M., Seßler, K., Bannert, M., Kasneci, E., Kasneci, G., Zhai, X., & Nerdel, C. (2024).
Impact of artificial intelligence on dentists’ gaze during caries detection: A randomized controlled trial
Arsiwala-Scheppach, L. T., Castner, N. J., Rohrer, C., Mertens, S., Kasneci, E., Grano de Oro, J. E. C., & Schwendicke, F. (2024).