piwik-script

Intern
Lehrstuhl für klinische Epidemiologie und Biometrie

Robin Kraft

M.Sc. Robin Kraft

Am Schwarzenberg 15, Haus A15

Kurzer Lebenslauf

2020-2021 und seit 2024 Wissenschaftlicher Mitarbeiter am Institut für Klinische Epidemiologie und Biometrie, Universität Würzburg
2017-2023 Wissenschaftlicher Mitarbeiter am Institut für Datenbanken und Informationssysteme, Universität Ulm
2015-2017 Studium M.Sc. Medieninformatik, Schwerpunkte Informationssysteme & Mobile Application Engineering, Universität Ulm
2011-2015 Studium B.Sc. Medieninformatik, Universität Ulm

Wissenschaftliche Schwerpunkte

  • Mobile Crowdsensing (MCS)
  • Ecological Momentary Assessment (EMA)
  • eHealth & mHealth
  • Smart Sensing

Ausgewählte Publikationen der letzten Jahre

2024[ to top ]
  • 1.
    Kraft R, Reichert M, Pryss R. Mobile Crowdsensing in Ecological Momentary Assessment mHealth Studies: A Systematic Review and Analysis. Sensors (Basel). 2024;24(2).
2023[ to top ]
  • 1.
    Breitmayer M, Stach M, Kraft R, Allgaier J, Reichert M, Schlee W, et al. Predicting the presence of tinnitus using ecological momentary assessments. Scientific Reports [Internet]. 2023;13(1):8989. Available from: https://doi.org/10.1038/s41598-023-36172-7
  • 1.
    Idrees AR, Kraft R, Winter M, Küchler AM, Baumeister H, Reilly R, et al. Exploring the usability of an internet-based intervention and its providing eHealth platform in an eye-tracking study. J Ambient Intell Humaniz Comput. 2023;14(7):9621-36.
2022[ to top ]
  • 1.
    Kraft R, Hofmann F, Reichert M, Pryss R. Dealing With Inaccurate Sensor Data in the Context of Mobile Crowdsensing and mHealth. IEEE J Biomed Health Inform. 2022;26(11):5439-4.
  • 1.
    Idrees AR, Kraft R, Pryss R, Reichert M, Nguyen T, Stenzel L, et al. Backend Concept of the eSano eHealth Platform for Internet- and Mobile-based Interventions. In: 2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). 2022. pp. 88-93.
  • 1.
    Shahania S, Unnikrishnan V, Pryss R, Kraft R, Schobel J, Hannemann R, et al. Predicting Ecological Momentary Assessments in an App for Tinnitus by Learning From Each User’s Stream With a Contextual Multi-Armed Bandit. Frontiers in Neuroscience. 2022;16:836834.
  • 1.
    Kraft R, Reichert M, Pryss R. Towards the Interpretation of Sound Measurements from Smartphones Collected with Mobile Crowdsensing in the Healthcare Domain: An Experiment with Android Devices. Sensors [Internet]. 2022;22(1):170. Available from: https://www.mdpi.com/1424-8220/22/1/170
2021[ to top ]
  • 1.
    Shahania S, Unnikrishnan V, Pryss R, Kraft R, Schobel J, Hannemann R, et al. User-centric vs whole-stream learning for EMA prediction. In: 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS). 2021. pp. 307-12.
  • 1.
    Kraft R, Idrees AR, Stenzel L, Nguyen T, Reichert M, Pryss R, et al. eSano – An eHealth Platform for Internet- and Mobile-based Interventions. In: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. pp. 1997-2002.
  • 1.
    Idrees AR, Kraft R, Pryss R, Reichert M, Baumeister H. Literature-based requirements analysis review of persuasive systems design for mental health applications. Procedia Computer Science [Internet]. 2021;191:143-50. Available from: https://www.sciencedirect.com/science/article/pii/S1877050921014137
  • 1.
    Prakash S, Unnikrishnan V, Pryss R, Kraft R, Schobel J, Hannemann R, et al. Interactive System for Similarity-Based Inspection and Assessment of the Well-Being of mHealth Users. Entropy [Internet]. 2021;23(12):1695. Available from: https://www.mdpi.com/1099-4300/23/12/1695
2020[ to top ]
  • 1.
    Kraft R, Birk F, Reichert M, Deshpande A, Schlee W, Langguth B, et al. Efficient Processing of Geospatial mHealth Data Using a Scalable Crowdsensing Platform. Sensors [Internet]. 2020;20(12):3456. Available from: https://www.mdpi.com/1424-8220/20/12/3456
  • 1.
    Unnikrishnan V, Schleicher M, Shah Y, Jamaludeen N, Pryss R, Schobel J, et al. The Effect of Non-Personalised Tips on the Continued Use of Self-Monitoring mHealth Applications. Brain Sciences [Internet]. 2020;10(12):924. Available from: https://www.mdpi.com/2076-3425/10/12/924
  • 1.
    Kraft R, Schlee W, Stach M, Reichert M, Langguth B, Baumeister H, et al. Combining Mobile Crowdsensing and Ecological Momentary Assessments in the Healthcare Domain. Frontiers in Neuroscience [Internet]. 2020;14. Available from: https://www.frontiersin.org/articles/10.3389/fnins.2020.00164
  • 1.
    Stach M, Kraft R, Probst T, Messner EM, Terhorst Y, Baumeister H, et al. Mobile Health App Database - A Repository for Quality Ratings of mHealth Apps. In: 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS). 2020. pp. 427-32.