Intern
Lehrstuhl für klinische Epidemiologie und Biometrie

Dr. Michael Winter

Kurzer Lebenslauf:

2021 
        Postdoc am Institut für Klinische Epidemiologie und Biometrie an der Universität Würzburg
2021 
        Promotion zum Dr. rer. nat. (summa cum laude), Universität Ulm
seit 2021 
        Wissenschaftlicher Mitarbeiter am Institut für Klinische Epidemiologie und Biometrie an der Universität Würzburg
2017-2021 
        Wissenschaftlicher Mitarbeiter am Institut für Datenbanken und Informationssysteme an der Universität Ulm
2015-2017 
        Wissenschaftlicher Mitarbeiter an der School of Profession Studies (SAPS) an der Universität Ulm
2013-2015 
        Studium M.Sc. Informatik an der Universität Ulm
2009-2013 
        Studium B.Sc. Informatik an der Universität Ulm

 

Wissenschaftliche Schwerpunkte:

process model comprehension, empirical research, cognitive science, statistical science

Hauptpublikationen der letzten Jahre:

2024[ to top ]
  • 1.
    Winter M, Pryss R. The effects of modular process models on gaze patterns - A follow-up investigation about modularization in process model literacy. Expert Systems with Applications. 2024;237.
  • 1.
    Winter M, Langguth B, Schlee W, Pryss R. Process mining in mHealth data analysis. NPJ Digit Med. 2024;7(1):299.
  • 1.
    Edler JS, Winter M, Steinmetz H, Cohrdes C, Baumeister H, Pryss R. Predicting Depressive Symptoms Using GPS-Based Regional Data in Germany With the CORONA HEALTH App During the COVID-19 Pandemic: Cross-Sectional Study. Interact J Med Res. 2024;13:e53248.
  • 1.
    Winter M, Probst T, Tallon M, Schobel J, Pryss R. Editorial: The operationalization of cognitive systems in the comprehension of visual structures. Front Neurosci. 2024;18:1501636.
2023[ to top ]
  • 1.
    Winter M, Neumann H, Pryss R, Probst T, Reichert M. Defining gaze patterns for process model literacy – Exploring visual routines in process models with diverse mappings. Expert Systems with Applications [Internet]. 2023;213:119217. Available from: https://www.sciencedirect.com/science/article/pii/S0957417422022357
  • 1.
    Winter M, Pryss R. An Empirical Exploration of Working Memory, Selective Attention and Reasoning During the Comprehension of Process Models. 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 2023;:2081-6.
  • 1.
    Humer E, Keil T, Stupp C, Schlee W, Wildner M, Heuschmann P, Winter M, Probst T, Pryss R. Associations of Country-Specific and Sociodemographic Factors With Self-Reported COVID-19-Related Symptoms: Multivariable Analysis of Data From the CoronaCheck Mobile Health Platform. JMIR Public Health Surveill. 2023;9:e40958.
2022[ to top ]
  • 1.
    Winter M, Pryss R, Probst T, Baß J, Reichert M. Measuring the Cognitive Complexity in the Comprehension of Modular Process Models. IEEE Transactions on Cognitive and Developmental Systems. 2022;14(1):164-80.
2021[ to top ]
  • 1.
    Winter M, Baumeister H, Frick U, Tallon M, Reichert M, Pryss R. Exploring the Usability of the German COVID-19 Contact Tracing App in a Combined Eye Tracking and Retrospective Think Aloud Study. In: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. pp. 2215-21.
  • 1.
    Winter M, Pryss R, Probst T, Schlee W, Tallon M, Frick U, Reichert M. Are Non-Experts Able to Comprehend Business Process Models--Study Insights Involving Novices and Experts. arXiv preprint arXiv:2107.02030. 2021;.
  • 1.
    Winter M, Pryss R, Fink M, Reichert M. Towards Measuring and Quantifying the Comprehensibility of Process Models - The Process Model Comprehension Framework. ArXiv. 2021;abs/2106.12880.
2020[ to top ]
  • 1.
    Winter M, Pryss R, Reichert M. ProMoEE - A Lightweight Web Editor Supporting Study Research on Process Models. In: Yangui S, Bouguettaya A, Xue X, Faci N, Gaaloul W, Yu Q, Zhou Z, Hernandez N, Nakagawa EY, editors. Service-Oriented Computing – ICSOC 2019 Workshops. Springer International Publishing; 2020. pp. 289-93.
  • 1.
    Winter M, Pryss R, Probst T, Reichert M. Learning to Read by Learning to Write: Evaluation of a Serious Game to Foster Business Process Model Comprehension. JMIR Serious Games [Internet]. 2020;8(1):e15374. Available from: https://www.ncbi.nlm.nih.gov/pubmed/31917374
  • 1.
    Winter M, Pryss R, Probst T, Reichert M. Towards the Applicability of Measuring the Electrodermal Activity in the Context of Process Model Comprehension: Feasibility Study. Sensors [Internet]. 2020;20(16):4561. Available from: https://www.mdpi.com/1424-8220/20/16/4561
2019[ to top ]
  • 1.
    Hoppenstedt B, Probst T, Reichert M, Schlee W, Kammerer K, Spiliopoulou M, Schobel J, Winter M, Felnhofer A, Kothgassner OD, Pryss R. Applicability of Immersive Analytics in Mixed Reality: Usability Study. IEEE Access. 2019;7:71921-32.
  • 1.
    Tallon M, Winter M, Pryss R, Rakoczy K, Reichert M, Greenlee MW, Frick U. Comprehension of business process models: Insight into cognitive strategies via eye tracking. Expert Systems with Applications [Internet]. 2019;136:145-58. Available from: https://www.sciencedirect.com/science/article/pii/S0957417419304324