Prof. Dr. Rüdiger Pryss

Medical Informatics, Mobile Crowdsensing, mHealth, Versorgungsforschung, Expert Systems, Medical Data Science

Weiteres zur Arbeitsgruppe, siehe auch:

https://medicalinformatics.ike-b.de/

Hauptpublikationen der letzten Jahre:

Beierle F, Allgaier J, Stupp C, Keil T, Schlee W, Schobel J, Vogel C, Haug F, Haug J, Holfelder M, Langguth B, Langguth J, Riens B, King R, Mulansky L, Schickler M, Stach M, Heuschmann P, Wildner M, Greger H, Reichert M, Kestler HA, Pryss R
Self-Assessment of Having COVID-19 With the Corona Check Mhealth App
IEEE J Biomed Health Inform. 2023 Apr 6;PP. doi: 10.1109/JBHI.2023.3264999 

Humer E, Keil T, Stupp C, Schlee W, Wildner M, Heuschmann PU, 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.
Online ahead of print.PMID: 36515987 Free article. JMIR Public Health Surveill. 2022 Dec 13. doi: 10.2196/40958.

Rourke T, Vogel C, John D, Pryss R, Schobel J, Haug F, Haug J, Pieh C, Nater UM, Feneberg AC, Reichert M, Probst T
The Impact of Coping Styles and Gender on Situational Coping: An Ecological Momentary Assessment Study With the mHealth Application TrackYourStress
Front. Psychol. 13:913125. doi: 10.3389/fpsyg.2022.913125

Mulansky L, Pryss R, Cohrdes C, Baumeister H, Beierle F
Social Media App Usage in Relation with PHQ-9 Depression Scores during the COVID-19 Pandemic

Allgaier J, Schlee W, Probst T, Pryss R
Prediction of Tinnitus Perception Based on Daily Life MHealth Data Using Country Origin and Season
J. Clin. Med. 2022, 11(15), 4270; https://doi.org/10.3390/jcm11154270

Schons M, Pilgram L, Reese JP, Stecher M, Anton G, Appel KS, Bahmer T, Bartschke A, Bellinghausen C, Bernemann I, Brechtel M, Brinkmann F, Brünn C, Dhillon C, Fiessler C, Geisler R, Hamelmann E, Hansch S, Hanses F, Hanß S, Herold S, Heyder R, Hofmann AL, Hopff SM, Horn A, Jakob C, Jiru-Hillmann S, Keil T, Khodamoradi Y, Kohls M, Kraus M, Krefting D, Kunze S, Kurth F, Lieb W, Lippert LJ, Lorbeer R, Lorenz-Depiereux B, Maetzler C, Miljukov O, Nauck M, Pape D, Püntmann V, Reinke L, Römmele C, Rudolph S, Sass J, Schäfer C, Schaller J, Schattschneider M, Scheer C, Scherer M, Schmidt S, Schmidt J, Seibel K, Stahl D, Steinbeis F, Störk S, Tauchert M, Tebbe JJ, Thibeault C, Toepfner N, Ungethüm K, Vadasz I, Valentin H, Wiedmann S, Zoller T, Nagel E, Krawczak M, von Kalle C, Illig T, Schreiber S, Witzenrath M, Heuschmann P, Vehreschild JJ; NAPKON Research Group.
The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics
Eur J Epidemiol. 2022 Aug;37(8):849-870. doi: 10.1007/s10654-022-00896-z. Epub 2022 Jul 29.

Sommer, K.K.; Amr, A.; Bavendiek, U.; Beierle, F.; Brunecker, P.; Dathe, H.; Eils, J.; Ertl, M.; Fette, G.; Gietzelt, M.; Heidecker, B.; Hellenkamp, K.; Heuschmann, P.; Hoos, J.D.E.; Kesztyüs, T.; Kerwagen, F.; Kindermann, A.; Krefting, D.; Landmesser, U.; Marschollek, M.; Meder, B.; Merzweiler, A.; Prasser, F.; Pryss, R.; Richter, J.; Schneider, P.; Störk, S.; Dieterich, C.
Structured, Harmonized, and Interoperable Integration of Clinical Routine Data to Compute Heart Failure Risk Scores.
Life 2022, 12, 749. https://doi.org/10.3390/life12050749

Shahania, S., Unnikrishnan, V., Pryss, R., Kraft, R., Schobel, J., Hannemann, R., ... & Spiliopoulou, M. (2022).
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, 16.

Schlee, W., Neff, P., Simoes, J., Langguth, B., Schoisswohl, S., Steinberger, H., ... & Pryss, R. (2022).
Smartphone-guided educational counseling and self-help for chronic tinnitus.
Journal of clinical medicine, 11(7), 1825.

Weiß, M., Baumeister, H., Cohrdes, C., Deckert, J., Gründahl, M., Pryss, R., & Hein, G. (2022).
Extraversion moderates the relationship between social media use and depression.
Journal of Affective Disorders Reports, 8, 100343.

Kammerer, K., Pryss, R., & Reichert, M. (2022).
Retrieving, Abstracting, and Changing Business Process Models with PQL.
Process Querying Methods, 219.

Stach, M., Pflüger, F., Reichert, M., & Pryss, R. (2022).
LAMP: a monitoring framework for mHealth application research.
Procedia Computer Science, 198, 203-210.

Eicher S, Pryss R, Baumeister H, Hövener C, Knoll N et al. (2021).
Quality of life during the COVID-19 pandemic – Results of the CORONA HEALTH App study.
Journal of Health Monitoring 6(S6): 2–21. DOI 10.25646/8867

F. Gallik, M. Winter, Y. Kirikkayis, R. Pryss and M. Reichert,
"DyVProMo - A Lightweight Web-Based Tool for the Dynamic Visualization of Additional Information in Business Process Models,"
2021 IEEE 25th International Enterprise Distributed Object Computing Workshop (EDOCW), 2021, pp. 345-348, doi: 10.1109/EDOCW52865.2021.00068

C. Vogel, J. Schobel, W. Schlee, M. Engelke and R. Pryss,
"UNITI Mobile—EMI-Apps for a Large-Scale European Study on Tinnitus,"
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp. 2358-2362, doi: 10.1109/EMBC46164.2021.9630482.

R. Kraft et al.,
"eSano – An eHealth Platform for Internet- and Mobile-based Interventions,"
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp. 1997-2002, doi: 10.1109/EMBC46164.2021.9629534.

M. Winter, H. Baumeister, U. Frick, M. Tallon, M. Reichert and R. Pryss,
"Exploring the Usability of the German COVID-19 Contact Tracing App in a Combined Eye Tracking and Retrospective Think Aloud Study,"
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp. 2215-2221, doi: 10.1109/EMBC46164.2021.9630949.

J. Allgaier, P. Neff, W. Schlee, S. Schoisswohl and R. Pryss.
Deep Learning End-to-End Approach for the Prediction of Tinnitus based on EEG Data.
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp. 816-819, doi: 10.1109/EMBC46164.2021.9629964.

Fleischer, A., Heimeshoff, L., Allgaier, J., Jordan, K., Gelbrich, G., Pryss, R., ... & Rasche, L. (2021).
Is PFS the Right Endpoint to Assess Outcome of Maintenance Studies in Multiple Myeloma? Results of a Patient Survey Highlight Quality-of-Life As an Equally Important Outcome Measure.
Blood, 138, 836

Beierle, F.; Schobel, J.; Vogel, C.; Allgaier, J.; Mulansky, L.; Haug, F.; Haug, J.; Schlee, W.; Holfelder, M.; Stach, M.; Schickler, M.; Baumeister, H.; Cohrdes, C.; Deckert, J.; Deserno, L.; Edler, J.-S.; Eichner, F.A.; Greger, H.; Hein, G.; Heuschmann, P.; John, D.; Kestler, H.A.; Krefting, D.; Langguth, B.; Meybohm, P.; Probst, T.; Reichert, M.; Romanos, M.; Störk, S.; Terhorst, Y.; Weiß, M.; Pryss, R.
Corona Health—A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic.
Int. J. Environ. Res. Public Health 2021, 18, 7395. https://doi.org/10.3390/ijerph18147395

Prakash, S.; Unnikrishnan, V.; Pryss, R.; Kraft, R.; Schobel, J.; Hannemann, R.; Langguth, B.; Schlee, W.; Spiliopoulou, M.
Interactive System for Similarity-Based Inspection and Assessment of the Well-Being of mHealth Users.
Entropy 2021, 23, 1695. https://doi.org/10.3390/e23121695

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 2022, 22, 170. https://doi.org/10.3390/s22010170

Idrees, A. R., Kraft, R., Pryss, R., Reichert, M., & Baumeister, H. (2021).
Literature-based requirements analysis review of persuasive systems design for mental health applications.
Procedia Computer Science, 191, 143-150.

Schlee, W.; Simoes, J.; Pryss, R.
Auricular Acupressure Combined with Self-Help Intervention for Treating Chronic Tinnitus: A Longitudinal Observational Study.
J. Clin. Med. 2021, 10, 4201. https://doi.org/10.3390/jcm10184201

Allgaier, J., Schlee, W., Langguth, B. et al.
Predicting the gender of individuals with tinnitus based on daily life data of the TrackYourTinnitus mHealth platform.
Sci Rep 11, 18375 (2021). https://doi.org/10.1038/s41598-021-96731-8

M. Winter, R. Pryss, T. Probst, J. Baß and M. Reichert,
"Measuring the Cognitive Complexity in the Comprehension of Modular Process Models,"
in IEEE Transactions on Cognitive and Developmental Systems, doi: 10.1109/TCDS.2020.3032730.

Schlee, W., Schoisswohl, S., Staudinger, S., Schiller, A., Lehner, A., Langguth, B., Schecklmann, M., Simoes, J., Neff, P., Marcrum, S. C., Spiliopoulou, M., Niemann, U., Schleicher, M., Unnikrishnan, V., Puga, C., Mulansky, L., Pryss, R., Vogel, C., Allgaier, J., ... Kikidis, D. (2021).
Towards a unification of treatments and interventions for tinnitus patients: The EU research and innovation action UNITI.
In W. Schlee, B. Langguth, T. Kleinjung, S. Vanneste, & D. De Ridder (Eds.), Tinnitus - An Interdisciplinary Approach Towards Individualized Treatment: From Heterogeneity to Personalized Medicine (pp. 441-451). (Progress in Brain Research; Vol. 260). Elsevier B.V.. https://doi.org/10.1016/bs.pbr.2020.12.005

Schlee W. et al. (2021)
Using Big Data to Develop a Clinical Decision Support System for Tinnitus Treatment.
In: Searchfield G.D., Zhang J. (eds) The Behavioral Neuroscience of Tinnitus. Current Topics in Behavioral Neurosciences, vol 51. Springer, Cham. https://doi.org/10.1007/7854_2021_229

Baumeister H, Bauereiss N, Zarski A-C, Braun L, Buntrock C, Hoherz C, Idrees AR, Kraft R, Meyer P, Nguyen TBD, Pryss R, Reichert M, Sextl T, Steinhoff M, Stenzel L, Steubl L, Terhorst Y, Titzler I and Ebert DD (2021)
Clinical and Cost-Effectiveness of PSYCHOnlineTHERAPY: Study Protocol of a Multicenter Blended Outpatient Psychotherapy Cluster Randomized Controlled Trial for Patients With Depressive and Anxiety Disorders.
Front. Psychiatry 12:660534. doi: 10.3389/fpsyt.2021.660534

Pryss R, Langguth B, Probst T, Schlee W, Spiliopoulou M and Reichert M (2021)
Editorial: Smart Mobile Data Collection in the Context of Neuroscience.
Front. Neurosci. 15:698597. doi: 10.3389/fnins.2021.698597

Wetzel, B.; Pryss, R.; Baumeister, H.; Edler, J.-S.; Gonçalves, A.S.O.; Cohrdes, C.
“How Come You Don’t Call Me?” Smartphone Communication App Usage as an Indicator of Loneliness and Social Well-Being across the Adult Lifespan during the COVID-19 Pandemic.
Int. J. Environ. Res. Public Health 2021, 18, 6212. https://doi.org/10.3390/ijerph18126212

Budimir S, Kuska M, Spiliopoulou M, Schlee W, Pryss R, Andersson G, Goedhart H, Harrison S, Vesala M, Hegde G, Langguth B, Pieh C, Probst T.
Reasons for Discontinuing Active Participation on the Internet Forum Tinnitus Talk: Mixed Methods Citizen Science Study.
JMIR Form Res 2021;5(4):e21444

Weierstall R, Crombach A, Nandi C, Bambonyé M, Probst T and Pryss R (2021)
Effective Adoption of Tablets for Psychodiagnostic Assessments in Rural Burundi: Evidence for the Usability and Validity of Mobile Technology in the Example of Differentiating Symptom Profiles in AMISOM Soldiers 1 Year After Deployment.
Front. Public Health 9:490604. doi: 10.3389/fpubh.2021.490604

Dode A, Mehdi M, Pryss R, et al.
Using a visual analog scale (VAS) to measure tinnitus-related distress and loudness: Investigating correlations using the Mini-TQ results of participants from the TrackYourTinnitus platform.
Progress in Brain Research. 2021 ;263:171-190. DOI: 10.1016/bs.pbr.2020.08.008. PMID: 34243888.

Muzoora MR, El-Badawi N, Elsner C, Essenwanger A, Gocke P, Krefting D, Poyraz RA, Pryss R, Sax U, Thun S.
Motivating Developers to Use Interoperable Standards for Data in Pandemic Health Apps.
Stud Health Technol Inform. 2021 May 27;281:1027-1028. doi: 10.3233/SHTI210339. PMID: 34042834.

Holfelder, M.; Mulansky, L.; Schlee, W.; Baumeister, H.; Schobel, J.; Greger, H.; Hoff, A.; Pryss, R.
Medical Device Regulation Efforts for mHealth Apps during the COVID-19 Pandemic—An Experience Report of Corona Check and Corona Health.
J 2021, 4, 206-222. https://doi.org/10.3390/j4020017

S. Shahania et al.,
"User-centric vs whole-stream learning for EMA prediction,"
2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), 2021, pp. 307-312, doi: 10.1109/CBMS52027.2021.00033.

V. Unnikrishnan et al.,
"Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data,"
2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), 2021, pp. 295-300, doi: 10.1109/CBMS52027.2021.00080

N. Jamaludeen, V. Unnikrishnan, R. Pryss, J. Schobel, W. Schlee and M. Spiliopoulou,
"Circadian Conditional Granger Causalities on Ecological Momentary Assessment Data from an mHealth App,"
2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), 2021, pp. 354-359, doi: 10.1109/CBMS52027.2021.00110.

Winter, Michael and Bredemeyer, Cynthia and Reichert, Manfred and Neumann, Heiko and Probst, Thomas and Pryss, Rüdiger (2021)
How Healthcare Professionals Comprehend Process Models - An Empirical Eye Tracking Analysis.
In: 34th IEEE International Symposium on Computer-Based Medical Systems (CBMS2021).

Paganini S, Terhorst Y, Sander LB, Catic S, Balci S, Küchler A, Schultchen D, Plaumann K, Sturmbauer S, Krämer LV, Lin J, Wurst R, Pryss R, Baumeister H, Messner E.
Quality of Physical Activity Apps: Systematic Search in App Stores and Content Analysis.
JMIR Mhealth Uhealth 2021;9(6):e22587

Eleni Genitsaridi, Albi Dode, Birkena Qirjazi, Muntazir Mehdi, Rüdiger Pryss, Thomas Probst, Manfred Reichert, Franz Hauck & Deborah Ann Hall (2021)
An Albanian translation of a questionnaire for self-reported tinnitus assessment,
International Journal of Audiology, DOI: 10.1080/14992027.2021.1933221

Kammerer, K.; Göster, M.; Reichert, M.; Pryss, R.
Ambalytics: A Scalable and Distributed System Architecture Concept for Bibliometric Network Analyses.
Future Internet 2021, 13, 203. https://doi.org/10.3390/fi13080203

Beierle, F, Dhakal, U, Cohrdes, C, Eicher, S, Pryss, R.
Public Perception of the German COVID-19 Contact-Tracing App Corona-Warn-App. Proc. 34th IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS2021),
2021, doi: 10.1109/CBMS52027.2021.00031.

Vogel, C, Pryss, R,  Schobel, J, Schlee, W, Beierle, F. Developing Apps for Researching the COVID-19 Pandemic with the TrackYourHealth Platform. 2021 IEEE/ACM 8th International Conference on Mobile Software Engineering and Systems (MOBILESoft), 2021, pp. 65-68, doi: 10.1109/MobileSoft52590.2021.00015.

Winter M, Pryss R, Probst T, Reichert M.
Applying Eye Movement Modeling Examples to Guide Novices’ Attention in the Comprehension of Process Models.
Brain Sciences. 2021; 11(1):72.

Robin Kraft, Winfried Schlee, Michael Stach, Manfred Reichert, Berthold Langguth, Harald Baumeister, Thomas Probst, Ronny Hannemann and Rüdiger Pryss
Combining Mobile Crowdsensing and Ecological Momentary Assessments in the Healthcare Domain

Johannes Schobel, Thomas Probst, Manfred Reichert, Winfried Schlee, Marc Schickler, Hans A. Kestler and Rüdiger Pryss
Measuring Mental Effort for Creating Mobile Data Collection Applications 

Lasse Bosse Sander, Johanna Schorndanner, Yannik Terhorst, Kerstin Spanhel, Rüdiger Pryss, Harald Baumeister & Eva-Maria Messner
Help for trauma from the app stores?’ A systematic review and standardised rating of apps for Post-Traumatic Stress Disorder (PTSD)
European Journal of Psychotraumatology 

Messner E, Terhorst Y, Barke A, Baumeister H, Stoyanov S, Hides L, Kavanagh D, Pryss R, Sander L, Probst T
The German Version of the Mobile App Rating Scale (MARS-G): Development and Validation Study.
JMIR Mhealth Uhealth 2020;8(3):e14479. doi: 10.2196/14479.

Unnikrishnan V, Beyer C, Matuszyk P, Niemann U, Pryss R, Schlee W, Ntoutsi E, Spiliopoulou M
Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity
International Journal of Data Science and Analytics volume 9, pages1–15(2020). doi: 10.1007/S41060-019-00177-1. 

Humer E, Stippl P, Pieh C, Pryss R, Probst T
Psychodynamic, humanistic, systemic, and behavioral psychotherapists' experiences with remote psychotherapy during COVID-19 in Austria: A cross-sectional online survey
Journal of Medical Internet Research, 27 Nov 2020, 22(11):e20246. doi:  10.2196/20246 

Beierle F, Thuy Tran V, Allemand M, Neff P, Schlee W, Probst T, Zimmermann J, Pryss R
What data are smartphone users willing to share with researchers
Journal of Ambient Intelligence and Humanized Computing (2020) 11:2277–2289. doi: 10.1007/S12652-019-01355-6.

Nandi C, Crombach A, Elbert T, Bambonye M, Pryss R, Schobel J, Weierstall-Pust, R.
The cycle of violence as a function of PTSD and appetitive aggression: A longitudinal study with Burundian soldiers
Aggressive Behavior. 2020;1–9.
https://doi.org/10.1002/ab.21895

Schickler, M., Reichert, M., Geiger, P., Winkler, J., Funk, T., Weilbach, M., Pryss, R.
Flexible development of location-based mobile augmented reality applications with AREA.
J Ambient Intell Human Comput(2020).

Budimir, S., Beierle, F., Zimmermann, J., Allemand, M., Neff, P., Pryss, R., Stieger, S., Probst, T., & Schlee, W. (2020).
Frequency and Duration of Daily Smartphone Usage in Relation to Personality Traits.
Digital Psychology, 1(1), 20-28.

Kraft, R.; Birk, F.; Reichert, M.; Deshpande, A.; Schlee, W.; Langguth, B.; Baumeister, H.; Probst, T.; Spiliopoulou, M.; Pryss, R.
Efficient Processing of Geospatial mHealth Data Using a Scalable Crowdsensing Platform.
Sensors 2020, 203456.

Pryss R, Schlee W, Hoppenstedt B, Reichert M, Spiliopoulou M, Langguth B, Breitmayer M, Probst T
Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study
J Med Internet Res 2020;22(6):e15547. DOI: 10.2196/15547

Stach M, Vogel C, Gablonski TC, Andreas S, Probst T, Reichert M, Schickler M, Pryss R.
Technical Challenges of a Mobile Application Supporting Intersession Processes in Psychotherapy.
Procedia Computer Science, 2020. Volume 175, pp. 261-268. DOI: 10.1016/j.procs.2020.07.038.

Kraft R, Stach M, Reichert M, Schlee W, Probst T, Langguth B, Schickler M, Baumeister H, Pryss R.
Comprehensive insights into the TrackYourTinnitus database.
Procedia Computer Science, 2020. Volume 175, pp. 28-35. DOI: 10.1016/j.procs.2020.07.008.

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 2020, 20, 4561. DOI: 10.3390/s20164561

Mehdi M, Riha C, Neff P, Dode A, Pryss R, Schlee W, Reichert M, Hauck FJ
Smartphone Apps in the Context of Tinnitus: Systematic Review
Sensors 2020, 20(6), 1725. doi: 10.3390/S20061725. 

Mehdi M, Stach M, Riha C, Neff P, Dode A, Pryss R, Schlee W, Reichert M, Hauck FJ
Smartphone and Mobile Health Apps for Tinnitus: Systematic Identification, Analysis, and Assessment.
JMIR Mhealth Uhealth 2020;8(8):e21767. DOI: 10.2196/21767. PMID: 32808939.

Stach M, Kraft R, Probst T, Messner EM, Terhorst Y, Baumeister H, Schickler M, Reichert M, Sander LB, Pryss R
Mobile Health App Database - A Repository for Quality Ratings of mHealth Apps.
IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS). 2020; 427-432. DOI: 10.1109/CBMS49503.2020.00087.

Kammerer K, Pryss R, Hoppenstedt B, Sommer K, Reichert M.
Process-Driven and Flow-Based Processing of Industrial Sensor Data. 
Sensors 2020, 20, 5245. DOI: 10.3390/s20185245

Hoppenstedt, B., Probst, T., Reichert, M., Schlee, W., Kammerer, K., Spiliopoulou, M., Schobel, J., Winter, M., Felnhofer, A., Kothgassner, O. D., Pryss, R.
Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios.
J. Vis. Exp. (164), e61349, doi:10.3791/61349 (2020).

Unnikrishnan, V., Shah, Y., Schleicher, M., Strandzheva, M., Dimitrov, P., Velikova, D., Pryss, R., Schobel, J., Schlee, W. & Spiliopoulou, M. (2020, October).
Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations-Where to Learn from?.
In International Conference on Discovery Science (pp. 659-673). Springer, Cham.

M. Winter, R. Pryss, T. Probst, J. Baß and M. Reichert,
"Measuring the Cognitive Complexity in the Comprehension of Modular Process Models,"
in IEEE Transactions on Cognitive and Developmental Systems, doi: 10.1109/TCDS.2020.3032730.

K. Kammerer, R. Pryss and M. Reichert.
Context-Aware Querying and Injection of Process Fragments in Process-Aware Information Systems. 
2020 IEEE 24th International Enterprise Distributed Object Computing Conference (EDOC), Eindhoven, Netherlands, 2020, pp. 107-114, doi: 10.1109/EDOC49727.2020.00022.

O’Rourke, T., Pryss, R., Schlee, W., & Probst, T. (2020).
Development of a Multidimensional App-Quality Assessment Tool for Health-Related Apps (AQUA).
Digital Psychology, 1(2), 13-23. https://doi.org/10.24989/dp.v1i2.1816

Mehdi, M.; Dode, A.; Pryss, R.; Schlee, W.; Reichert, M.; Hauck, F.J.
Contemporary Review of Smartphone Apps for Tinnitus Management and Treatment.
Brain Sci. 2020, 10, 867.

Unnikrishnan, V.; Schleicher, M.; Shah, Y.; Jamaludeen, N.; Pryss, R.; Schobel, J.; Kraft, R.; Schlee, W.; Spiliopoulou, M.
The Effect of Non-Personalised Tips on the Continued Use of Self-Monitoring mHealth Applications.
Brain Sci. 2020, 10, 924.

Humer E, Stippl P, Pieh C, Pryss R, Probst T.
Experiences of Psychotherapists With Remote Psychotherapy During the COVID-19 Pandemic: Cross-sectional Web-Based Survey Study.
J Med Internet Res 2020;22(11):e20246

Schleicher, M., Unnikrishnan, V., Neff, P., Simoes, J., Probst, T., Pryss, R., Schlee, W., Spiliopoulou, M.
Understanding adherence to the recording of ecological momentary assessments in the example of tinnitus monitoring.
Sci Rep 10, 22459 (2020).

Muntazir Mehdi, Florian Diemer, Lukas Hennig, Albi Dode, Ruediger Pryss, Winfried Schlee, Manfred Reichert, and Franz Hauck. 2020.
TinnituSense: a Mobile Electroencephalography (EEG) Smartphone App for Tinnitus Research.
In MobiQuitous 2020 - 17th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous '20). Association for Computing Machinery, New York, NY, USA, 252–261. DOI:https://doi.org/10.1145/3448891.3448933