References

Blickshift Analytics was used for the production of the following scientific publications, or is based on research published in them:

Thomas Berger. Using eye-tracking to for analyzing case study materials. The International Journal of Management Education. Volume 17, Issue 2, July 2019, Pages 304-315. DOI: https://doi.org/10.1016/j.ijme.2019.05.002

Dominique Stimm, Arnd Engeln, Julia Schäfer, Holger Schmidt. Investigating Temporal Changes of Behavioral Adaptation and User Experience During Highly Automated Driving. In: HCI in Mobility, Transport, and Automotive Systems (2019). DOI https://doi.org/10.1007/978-3-030-22666-4_8

Prendergast CN. Infant Understanding of Different Forms of Social Exclusion. Brain Sciences. 2019 Sep;9(9). DOI: https://doi.org/10.3390/brainsci9090227

Unaizah Obaidellah, Michael Raschke, and Tanja Blascheck. 2019. Classification of strategies for solving programming problems using AoI sequence analysis. In Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications (ETRA ’19). ACM, New York, NY, USA, Article 15, 9 pages. DOI: https://doi.org/10.1145/3314111.3319825

Mathias Trefzger, Tanja Blascheck, Michael Raschke, Sarah Hausmann, and Thomas Schlegel. 2018. A visual comparison of gaze behavior from pedestrians and cyclists. In Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications (ETRA ’18). ACM, New York, NY, USA, Article 104, 5 pages. DOI: https://doi.org/10.1145/3204493.3214307

Diederichs, Frederik ; Brouwer, Nina ; Klöden, Horst ; Zahn, Peter ; Schmitz, Bernhard: Application of a Driver Intention Recognition Algorithm on a Pedestrian Intention Recognition and Collision Avoidance System. In: Bengler, K. ; Drüke, J. ; Hoffman, S. ; Manstetten, D. ; Neukum, A. ; Bengler, K. ; Drüke, J. ; Hoffman, S. ; Manstetten, D. ; Neukum, A. (Hrsg.) ; Bengler, K. ; Drüke, J. ; Hoffman, S. ; Manstetten, D. ; Neukum, A. (Hrsg.): UR:BAN Human Factors in Traffic – Approaches for Safe, Efficient and Stress-free Urban Traffic, UR:BAN Human Factors in Traffic – Approaches for Safe, Efficient and Stress-free Urban Traffic : Springer Fachmedien, 2017. DOI: https://doi.org/10.1007/978-3-658-15418-9_14

Michael Raschke, Bernhard Schmitz, Michael Wörner, Thomas Ertl, and Frederik Diederichs. 2016. Application design for an eye tracking analysis based on visual analytics. In Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications (ETRA ’16). ACM, New York, NY, USA, 311-312. DOI: https://doi.org/10.1145/2857491.2884061

Michael Raschke, Dominik Herr, Tanja Blascheck, Thomas Ertl, Michael Burch, Sven Willmann, and Michael Schrauf. 2014. A visual approach for scan path comparison. In Proceedings of the Symposium on Eye Tracking Research and Applications (ETRA ’14). ACM, New York, NY, USA, 339-346. DOI: https://doi.org/10.1145/2578153.2628810

Michael Raschke, Xuemei Chen, and Thomas Ertl. 2012. Parallel scan-path visualization. In Proceedings of the Symposium on Eye Tracking Research and Applications (ETRA ’12), Stephen N. Spencer (Ed.). ACM, New York, NY, USA, 165-168. DOI: https://doi.org/10.1145/2168556.2168583