Using psycho-physiological measures to assess task difficulty in software development T Fritz, A Begel, SC Müller, S Yigit-Elliott, M Züger Proceedings of the 36th international conference on software engineering …, 2014 | 344 | 2014 |
Interruptibility of software developers and its prediction using psycho-physiological sensors M Züger, T Fritz Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing …, 2015 | 128 | 2015 |
Reducing interruptions at work: A large-scale field study of flowlight M Züger, C Corley, AN Meyer, B Li, T Fritz, D Shepherd, V Augustine, ... Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems …, 2017 | 99 | 2017 |
Sensing interruptibility in the office: A field study on the use of biometric and computer interaction sensors M Züger, SC Müller, AN Meyer, T Fritz Proceedings of the 2018 CHI conference on human factors in computing systems …, 2018 | 69 | 2018 |
Detecting developers’ task switches and types AN Meyer, C Satterfield, M Züger, K Kevic, GC Murphy, T Zimmermann, ... IEEE Transactions on Software Engineering 48 (1), 225-240, 2020 | 12 | 2020 |
Sensing and supporting software developers' focus M Züger, T Fritz Proceedings of the 26th Conference on Program Comprehension, 2-6, 2018 | 5 | 2018 |
Reducing interruptions at work with flowlight M Züger, AN Meyer, T Fritz, D Shepherd Rethinking Productivity in Software Engineering, 271-279, 2019 | 3 | 2019 |
Economic challenges of standardization M Züger, S Poltier, A Volkart Internet Econ. V 1, 31-54, 2010 | 2 | 2010 |
Technologies for interruptibility analysis and notification D Shepherd, P Francis, A Meyer, T Fritz, C Corley, M Züger US Patent 11,676,082, 2023 | | 2023 |
Sensing and indicating interruptibility in office workplaces M Züger University of Zurich, 2018 | | 2018 |