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Dr.  Philipp Mock
Scientist

Dr. Philipp Mock

Member of the technical staff.

Philipp Mock started working for the development team of the technical staff in 2014. His main interests are the conception and development of applications for interactive surfaces and the analysis of interaction data. During the research project ‘Intuitive and personalized visitor information with interactive displays in museums: contextualized – multimedia-based – collaborative’ (EyeVisit) he participated in the development of multi-touch applications for tabletop systems and mobile devices. Further thematic priorities are adaptive user interfaces and the implementation of novel interaction concepts (e.g., the multi-touch based video conferencing system Face2Face).

In 2011, Philipp Mock completed his studies of computer science with media science as a minor subject at the University of Tübingen. Since 2011, he is a PhD student at Tübingen University’s Department of Computer Science. His doctoral research focuses on using high resolution sensor data to improve the input quality of interactive surfaces. A special emphasis is put on how such data can be used for adaptive learning environments. Since 2012, he is an associated member of the LEAD Graduate School.


 

Curriculum Vitae   

Projects

Intuitive and collaborative interaction with digital media on tabletop-displays

Proceedings

Mock, P., Tibus, M., Ehlis, A.-C., Baayen, H., & Gerjets, P. (2018). Predicting ADHD risk from touch interaction data. Proceedings of the 20th ACM International Conference on Multimodal Interaction (pp. 446-454). New York, NY, USA: ACM. https://dx.doi.org/10.1145/3242969.3242986
 

Mock, P., Gerjets, P., Tibus, M., Trautwein, U., Moeller, K., & Rosenstiel, W. (2016). Using touchscreen interaction data to predict cognitive workload. In Y. I. Nakano, E. André, T. Nishida, L.-P. Morency, C. Busso, & C. Pelachaud (Eds.), Proceedings of the 18th ACM International Conference on Multimodal Interaction (pp. 349-356). New York, NY: ACM.
 

Mock, P., Edelmann, J., & Rosenstiel, W. (2015). Learning instead of markers: Flexible recognition of mobile devices on interactive surfaces. In N. Streitz & P. Markopoulos (Eds.), Lecture Notes in Computer Science (Vol. 9189, p. 325–336). Cham: Springer. https://dx.doi.org/10.1007/978-3-319-20804-6_30
 

Mock, P., Jaszkowic, J., Edelmann, J., Kammerer, Y., Schilling, A., & Rosenstiel, W. (2015). keyValuate: A Framework for Rapid Evaluation of Adaptive Keyboards on Touchscreens. In B. Ploderer, M. Carter, M. R. Gibbs, W. Smith, & F. Vetere (Eds.), Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction (pp. 361-369). New York, NY: ACM.
 

Oestermeier, U., Mock, P., Edelmann, J., & Gerjets, P. (2015). LEGO Music: Learning Composition With Bricks. Proceedings of the 14th International Conference on Interaction Design and Children (IDC '15) (pp. 283-286). New York, NY, USA: ACM.
 

Mock, P., Edelmann, J., Schilling, A., & Rosenstiel, W. (2014). User identification using raw sensor data from typing on interactive displays. Proceedings of the 19th international conference on Intelligent User Interfaces (IUI '14) (pp. 67-72.). New York: ACM.
 

Mock, P., Rosenstiel, W., Edelmann, J., & Gerjets, P. (2013). Ultrasound based positioning for museum environments - A low-cost solution for room-level localization of mobile devices. In R. Franken-Wendelstorf, E. Lindinger, & J. Kieck (Eds.), Kultur und Informatik: "Visual Worlds & Interactive Spaces" (pp. 239-246). Glückstadt: Werner Hülsbusch Verlag.
 

Mock, P., Schilling, A., Strasser W., & Edelmann, J. (2012). Direct 3D-collaboration with face2face - implementation details and application concepts. 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON) (pp. 1-4). IEEE. https://dx.doi.org/10.1109/3DTV.2012.6365479
 

Conference Contributions

Mock, P., Tibus, M., Ehlis, A.-C., Baayen, H., & Gerjets, P. (2018, October). Predicting ADHD risk from touch interaction data. 20th ACM International Conference on Multimodal Interaction (ICMI). Boulder, CO, USA. [Poster]
 

Software Development

Mock, P. (2018). Matlab-Skripte zur Analyse von Interaktionsmustern mit maschinellen Lernmethoden. Tübingen: Leibniz-Institut für Wissensmedien.
 

Opel, S., Mock, P., Kupke, S., & Oestermeier, U. (2018). Tüsch: Eine interaktive multi-userfähige Stadtkarte. Tübingen: Leibniz-Institut für Wissensmedien.
 

Linke, M., Mock, P., & Oestermeier, U. (2017). Plattformunabhängiges Framework für visuelle Inhalte und Themenkarten für Multi-Touch-Geräte (Eyevisit). Tübingen: Leibniz-Institut für Wissensmedien.
 

Mock, P. (2017). Prototyp: Rhythmus-Player für digitale Tanzkurse. Tübingen: Leibniz-Institut für Wissensmedien.
 

Mock, P. (2017). Aufbereitung und Analyse von Interaktionsmustern mit maschinellen Lernmethoden. Tübingen: Leibniz-Institut für Wissensmedien.
 

Mock, P. (2017). Multiple Choice Testumgebung für Multi-Touch-Geräte. Tübingen: Leibniz-Institut für Wissensmedien.
 

Mock, P., & Wortha, F. (2017). Experimentalsoftware: Erschließung von Kunst (Tablet und Browser). Tübingen: Leibniz-Institut für Wissensmedien.
 

Edelmann, J., Mock, P. & Oestermeier, U. (2016). 8 Objekte, 8 Museen: Eine Multitouch-Applikation für die Forschungsmuseen der Leibniz-Gemeinschaft. Tübingen: Leibniz-Institut für Wissensmedien.
 

Klemke, A., Knobloch, M., & Mock, P. (2016). SUR40Tracker - ein Windows 10 SUR40-Tracker mit Unterstützung für LEGO- und Markererkennung. Tübingen: Leibniz-Institut für Wissensmedien.
 

Mock, P. (2016). EyeVisit Audio- und Multimediaguide. Tübingen: Leibniz-Institut für Wissensmedien.
 

Mock, P. (2015). Versuchsumgebung: Face2Face-Studie - Wirkung von Video. Tübingen: Leibniz-Institut für Wissensmedien.
 

Mock, P., & Eisenhut, F. (2015). Erkennung von Mobilgeräten ohne optische Marker. Tübingen: Leibniz-Institut für Wissensmedien.
 

Mock, P., & Müller, J. (2015). Versuchsumgebung: Zusammenhänge zwischen Bearbeitungsverhalten von Mathe- und Deutschaufgaben mit lernrelevanten Persönlichkeitskeitsvariablen. Tübingen: Leibniz-Institut für Wissensmedien.
 

Edelmann, J., & Mock, P. (2014). PhoneTracker: Detection of Mobile Devices on Tabletop Displays with IR Touch Frames. Tübingen: IWM.
 

Edelmann, J., & Mock, P. (2014). Oz: Adaptive Keyboard Models for Microsoft PixelSense. Tübingen: IWM.
 

Edelmann, J., & Mock, P. (2014). Surface Tracker: Touch Detection Module for Microsoft PixelSense. Tübingen: IWM.
 

Jaszkowic, J., & Mock, P. (2014). Multi-touch Studie: Cognitive Load. Tübingen: IWM.
 

Jaszkowic, J., & Mock, P. (2014). Face2Face Studie: Diagnose. Tübingen: IWM.
 

Jaszkowic, J., Mock, P., & Edelmann, J. (2014). Multi-touch Studie: Adaptive Tastatur. Tübingen: IWM.
 

Mock, P. (2014). Multi-touch Studie: Eye Video. Tübingen: IWM.
 

Mock, P. (2014). Multi-touch Software SurfaceMemory. Tübingen: IWM.
 

contact

Dr.  Philipp Mock

Dr. Philipp Mock

Schleichstraße 6
72076 Tübingen
Room 6.433
phone: +49 7071 979-357
fax: +49 7071 979-124