Tobias Appel

Tobias Appel ist wissenschaftlicher Mitarbeiter am Hector-Institut für Empirische Bildungsforschung.

Forschungsinteressen:

Eye Tracking
maschinelles Lernen
physiologische Sensoren
automatische Erkennung kognitiver Zustände
Analyse von Problemlösestrategien

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

Veröffentlichungen

Zeitschriftenartikel

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

Konferenzbeiträge

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).

Seit 06/2023

Wissenschaftlicher Mitarbeiter am TüCeDE

seit 04/2021

Wissenschaftlicher Mitarbeiter

seit 04/2017

Assoziiertes Mitglied

07/2015 - 04/2017

Wissenschaftlicher Mitarbeiter

10/2014 - 03/2017

M.Sc. Computer Science

10/2011 - 09/2014

B.Sc. Computer Science

Zeitschriftenartikel

Konferenzbeiträge

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