@inproceedings{HauserSchreistetterReuteretal., author = {Hauser, Florian and Schreistetter, Stefan and Reuter, Rebecca and Mottok, J{\"u}rgen and Gruber, Hans and Holmqvist, Kenneth and Schorr, Nick}, title = {Code reviews in C++: Preliminary results from an eye tracking study}, series = {ETRA '20 Short Papers: ACM Symposium on Eye Tracking Research and ApplicationsJune 2020}, booktitle = {ETRA '20 Short Papers: ACM Symposium on Eye Tracking Research and ApplicationsJune 2020}, isbn = {ISBN 9781450371346}, doi = {10.1145/3379156.3391980}, pages = {1 -- 5}, abstract = {Code reviews are an essential part of quality assurance in modern software projects. But despite their great importance, they are still carried out in a way that relies on human skills and decisions. During the last decade, there have been several publications on code reviews using eye tracking as a method, but only a few studies have focused on the performance differences between experts and novices. To get a deeper understanding of these differences, the following experiment was developed: This study surveys expertise-related differences in experts', advanced programmers', and novices' eye movements during the review of eight short C++ code examples, including correct and erroneous codes. A sample of 35 participants (21 novices, 14 advanced and expert programmers) were recruited. A Tobii Spectrum 600 was used for the data collection. Measures included participants' eye movements during the code review, demographic background data, and cued retrospective verbal comments on replays of their own eye movement recordings. Preliminary results give proof for experience-related differences between participants. Advanced and expert programmers performed significantly better in case of error detection and the eye tracking data implies a more efficient reviewing strategy.}, language = {en} } @inproceedings{GruberWolffMottoketal., author = {Gruber, Hans and Wolff, Christian and Mottok, J{\"u}rgen and Bazo, Alexander and Hauser, Florian and Schreistetter, Stefan}, title = {Tutorial on Software Engineering Education in Co-Located Multi-User Eye-Tracking-Environments}, series = {Proceedings of the 32nd IEEE Conference on Software Engineering Education and Training: Munich, November 2020}, booktitle = {Proceedings of the 32nd IEEE Conference on Software Engineering Education and Training: Munich, November 2020}, doi = {10.1109/CSEET49119.2020.9206170}, abstract = {We briefly describe a tutorial on the application of Eye-Tracking technology for Software Engineering Education. We will showcase our setup of a large-scale Eye-Tracking-Classroom and its usage for real-time improvement of traditional learning scenarios in Software Engineering Education. We will focus on the integration of gaze data into modern integrated development environments (IDEs) and demonstrate a complete workflow for its usage in co-located multi-user Eye-Tracking-Environments.}, language = {en} } @inproceedings{SchreistetterHauserReuteretal., author = {Schreistetter, Stefan and Hauser, Florian and Reuter, Rebecca and Jahn, Sabrina and Mottok, J{\"u}rgen}, title = {Using Eye Tracking Data to analyze students' tasks solving behavior in classroom contexts}, series = {12th International Conference of Education, Research and Innovation (ICERI 2019), Conference Proceedings, 2019, Seville (Spain)}, booktitle = {12th International Conference of Education, Research and Innovation (ICERI 2019), Conference Proceedings, 2019, Seville (Spain)}, isbn = {978-84-09-14755-7}, issn = {2340-1095}, doi = {10.21125/iceri.2019.1473}, pages = {6087 -- 6096}, language = {en} } @misc{StarkSchreistetterReuteretal., author = {Stark, T. and Schreistetter, Stefan and Reuter, R. and Hauser, Florian and Holmqvist, K. and Mottok, J{\"u}rgen and Gruber, Hans}, title = {Learning from Gaze: Eye Movement Modeling Examples in Software Engineering Education}, series = {Earli Book of Abstracts}, journal = {Earli Book of Abstracts}, publisher = {Earli}, pages = {291}, language = {en} }