Tübingen Center for Digital Education

Tobias Appel

Tobias Appel is a research associate at the Hector Institute for Empirical Educational Research.

Research interests:

  •    Eye-tracking
  •    Machine learning
  •    Physiological sensors
  •    Automatic cognitive state recognition
  •    Analysis of problem solving strategies

Seit 06/2023
Wissenschaftlicher Mitarbeiter am TüCeDE

Tübingen Center of Digital Education (TüCeDE)

seit 04/2021
Wissenschaftlicher Mitarbeiter

Hector-Institut für Empirische Bildungsforschung, Tübingen

seit 04/2017
Assoziiertes Mitglied

des LEAD Graduate School & Research Networks

07/2015 - 04/2017
Wissenschaftlicher Mitarbeiter

Perception Engeneering department, University of Tübingen

10/2014 - 03/2017
M.Sc. Computer Science

Universität Tübingen

10/2011 - 09/2014
B.Sc. Computer Science

Universität Tübingen

Publications

Journal articles

  • Appel, T., Kärcher, K., Körner, H. (2023). Investigating Cognitive Load for Tasks with Mathematics and Chemistry Context through Eye Tracking. In 2023 Symposium on Eye Tracking Research and Applications, 1–6. Tubingen Germany: ACM. https://doi.org/10.1145/3588015.3589199
     
  • Bardach, L., Schumacher, A., Trautwein, U., Kasneci, E., Tibus, M., Wortha, F., Gerjets, P., Appel, T. (2023). Taking Another Look at Intelligence and Personality: An Eye-Tracking Approach. OSF Preprints.
     
  • Sevcenko, N., Appel, T., Ninaus, M., Moeller, K., & Gerjets, P. (2023). Theory-based approach for assessing cognitive load during time-critical resource-managing human–computer interactions: an eye-tracking study. Journal on Multimodal User Interfaces, 17(1), 1-19.
     
  • Stark, P., Appel, T., Olbrich, M., Kasneci, E. (2023). Pupil Diameter during Counting Tasks as Potential Baseline for Virtual Reality Experiments. In 2023 Symposium on Eye Tracking Research and Applications, 1–7. Tubingen Germany: ACM. https://doi.org/10.1145/3588015.3588414
     
  • Kasneci, E., Kasneci, G., Trautwein, U., Appel, T., Tibus, M., Jaeggi, S. M., & Gerjets, P. (2022). Do your eye movements reveal your performance on an IQ test? A study linking eye movements and socio-demographic information to fluid intelligence. Plos one, 17(3), e0264316.
     
  • Sevcenko, N., Appel, T., Ninaus, M., Moeller, K., & Gerjets, P. (2022). Theory-based approach for assessing cognitive load during time-critical resource-managing human–computer interactions: an eye-tracking study. Journal on Multimodal User Interfaces, 1-19.
     
  • Kasneci, E., Kasneci, G., Appel, T., Haug, J., Wortha, F., Tibus, M., ... & Gerjets, P. (2021). TüEyeQ, a rich IQ test performance data set with eye movement, educational and socio-demographic information. Scientific Data, 8(1), 1-14.
     
  • Appel, T., Gerjets, P., Hoffman, S., Moeller, K., Ninaus, M., Scharinger, C., ... & Kasneci, E. (2021). Cross-task and cross-participant classification of cognitive load in an emergency simulation game. IEEE Transactions on Affective Computing.
     
  • Castner, N., Appel, T., Eder, T., Richter, J., Scheiter, K., Keutel, C., ... & Kasneci, E. (2020). Pupil diameter differentiates expertise in dental radiography visual search. PloS one, 15(5), e0223941.
     
  • Appel, T., Santini, Thiago, & Kasneci, Enkelejda (2016). Brightness- and motion-based blink detection for head-mounted eye trackers. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct (UbiComp '16). ACM, New York, NY, USA, 1726-1735. https://doi.org/10.1145/2968219.2968341 

Conference contributions

  • Stark, P., Appel, T., Olbrich, M. J., & Kasneci, E. (2023, May). Pupil Diameter during Counting Tasks as Potential Baseline for Virtual Reality Experiments. In Proceedings of the 2023 Symposium on Eye Tracking Research and Applications (pp. 1-7).
     
  • Appel, T., Kärcher, K., & Körner, H. D. (2023, May). Investigating Cognitive Load for Tasks with Mathematics and Chemistry Context through Eye Tracking. In Proceedings of the 2023 Symposium on Eye Tracking Research and Applications (pp. 1-6).
     
  • Appel, T., Bardach, L., & Kasneci, E. (2022, June). Predicting Decision-Making during an Intelligence Test via Semantic Scanpath Comparisons. In 2022 Symposium on Eye Tracking Research and Applications (pp. 1-5).
     
  • Appel, T., Sevcenko, N., Wortha, F., Tsarava, K., Moeller, K., Ninaus, M., ... & Gerjets, P. (2019, October). Predicting cognitive load in an emergency simulation based on behavioral and physiological measures. In 2019 International Conference on Multimodal Interaction (pp. 154-163).
     
  • Fuhl, W., Geisler, D., Santini, T., Appel, T., Rosenstiel, W., & Kasneci, E. (2018, June). CBF: Circular binary features for robust and real-time pupil center detection. In Proceedings of the 2018 ACM symposium on eye tracking research & applications (pp. 1-6).
     
  • Appel, T., Scharinger, C., Gerjets, P., & Kasneci, E. (2018, June). Cross-subject workload classification using pupil-related measures. In Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications (pp. 1-8).
     
  • Appel, T., Santini, T., & Kasneci, E. (2016, September). Brightness-and motion-based blink detection for head-mounted eye trackers. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct (pp. 1726-1735).