Tobias Wagner, M. Sc.

In 2019, after Tobias Wagner graduated from Ulm University with a Bachelor's degree in Media Informatics with a thesis titled "Adaptive AR Interfaces Via EEG", he joined the Human-Computer Interaction research group as a research assistant. While completing his Master's degree in Media Informatics at Ulm University, he worked on several research projects in personal fabrication and gaze-based interaction in teaching. With his Master's thesis titled "Effects of Attention Guiding in Lecture Videos via Implicit and Explicit-Based Visual Pointers" Tobias completed his Master's degree in September 2022.
Currently, Tobias is PhD at the Institute of Media Informatics at Ulm University, researching gaze-based interactions.

Research interests

  • Gaze-based Interaction
  • Eye-Tracking

Teaching

  • Research Trends for Media Informatics WiSe 2022/23

I am happy to supervise theses with a focus on gaze-based interaction. I am always open to your suggestions in this area.
Don't hesitate to contact me via email if you are interested.

Publications

P. Hock, M. Colley, A. Askari, T. Wagner, M. Baumann and E. Rukzio, "Introducing VAMPIRE -- Using Kinaesthetic Feedback in Virtual Reality for Automated Driving Experiments", Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI ’22) (conditionally accepted) Joint First Authors, 09 2022. ACM.
DOI:10.1145/3543174.3545252
File:/fileadmin/website_uni_ulm/iui.inst.100/1-hci/hci-paper/2022/AutoUI_2022_VRealChair_compressed-1.pdf
T. Hirzle, M. Sauter, T. Wagner, S. Hummel, E. Rukzio and A. Huckauf, "Attention of Many Observers Visualized by Eye Movements", ETRA '22: 2022 Symposium on Eye Tracking Research and Applications, 06 2022.
DOI:10.1145/3517031.3529235
Weblink:https://www.uni-ulm.de/in/mi/hci/projects/attention-of-many-observers-visualized-by-eye-movements/
File:/fileadmin/website_uni_ulm/iui.inst.100/1-hci/hci-paper/2022/hirzle_AttentionOfManyObservers_2022.pdf
M. Sauter, T. Hirzle, T. Wagner, S. Hummel, E. Rukzio and A. Huckauf, "Can Eye Movement Synchronicity Predict Test Performance With Unreliably-Sampled Data in an Online Learning Context?", ETRA '22: 2022 Symposium on Eye Tracking Research and Applications, 06 2022.
DOI:10.1145/3517031.3529239
File:/fileadmin/website_uni_ulm/iui.inst.100/1-hci/hci-paper/2022/sauter_CanEyeMovement_2022.pdf
M. Sauter, T. Wagner and A. Huckauf, "Distance between gaze and laser pointer predicts performance in video-based e-learning independent of the presence of an on-screen instructor", ETRA '22: 2022 Symposium on Eye Tracking Research and Applications, 06 2022.
DOI:10.1145/3517031.3529620
File:/fileadmin/website_uni_ulm/iui.inst.100/1-hci/hci-paper/2022/sauter_DistanceBetweenGazeAndLaser_2022.pdf
E. Stemasov, T. Wagner, J. Gugenheimer and E. Rukzio, "ShapeFindAR: Exploring In-Situ Spatial Search for Physical Artifact Retrieval using Mixed Reality", In Proc. of CHI 2022 (SIGCHI Conference on Human Factors in Computing Systems), 05 2022. ACM, https://arxiv.org/abs/2203.17211.
DOI:10.1145/3491102.3517682
Weblink:https://www.youtube.com/watch?v=rc2JNFkAHx0
File:/fileadmin/website_uni_ulm/iui.inst.100/1-hci/hci-paper/2022/CHI2022_ShapeFindAR_Stemasov.pdf
E. Stemasov, T. Wagner, J. Gugenheimer and E. Rukzio, "Mix&Match: Towards Omitting Modelling through In-Situ Alteration and Remixing of Model Repository Artifacts in Mixed Reality", In Proc. of CHI 2020 (SIGCHI Conference on Human Factors in Computing Systems), Apr. 2020. ACM, https://arxiv.org/abs/2003.09169.
DOI:10.1145/3313831.3376839
Weblink:https://youtu.be/B5EnkIk9ZFY
File:/fileadmin/website_uni_ulm/iui.inst.100/institut/mitarbeiterbereiche/stemasov/StemasovCHI2020MixAndMatch.pdf
D. Wolf, T. Wagner and E. Rukzio, "Low-Cost Real-Time Mental Load Adaptation for Augmented Reality Instructions - A Feasibility Study", In Adj. Proc. of ISMAR 2019 (2019 IEEE International Symposium on Mixed and Augmented Reality), Oct. 2019. IEEE.
DOI:10.1109/ISMAR-Adjunct.2019.00015
File:/fileadmin/website_uni_ulm/iui.inst.100/institut/mitarbeiterbereiche/wolf/LowCostEEGPoster.pdf