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2Determinants and reference values of the 6-min walk distance in the general population-results of the population-based STAAB cohort study
C. Morbach, N. Moser, V. Cejka, M. Stach, F. Sahiti, F. Kerwagen, S. Frantz, R. Pryss, G. Gelbrich, P. Heuschmann and 1 other author(s). Clin Res Cardiol, (2024)
9 months ago by @ike-b_uniwue
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2Exploring the usability of an internet-based intervention and its providing eHealth platform in an eye-tracking study
A. Idrees, R. Kraft, M. Winter, A. Küchler, H. Baumeister, R. Reilly, M. Reichert, and R. Pryss. J Ambient Intell Humaniz Comput, 14 (7): 9621-9636 (2023)
9 months ago by @ike-b_uniwue
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3A Highly Configurable EMA and JITAI Mobile App Framework Utilized in a Large-Scale German Study on Breast Cancer Aftercare
C. Vogel, E. Bendig, P. Garatva, L. Stenzel, A. Idrees, R. Kraft, H. Baumeister, and R. Pryss. 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), page 103-110. (2023)
a year ago by @ike-b_uniwue
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3A Similarity-Guided Framework for Error-Driven Discovery of Patient Neighbourhoods in EMA Data
V. Unnikrishnan, M. Schleicher, C. Puga, R. Pryss, C. Vogel, W. Schlee, and M. Spiliopoulou. Advances in Intelligent Data Analysis XXI, page 459-471. Springer Nature Switzerland, (2023)
a year ago by @ike-b_uniwue
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2Predicting the presence of tinnitus using ecological momentary assessments
M. Breitmayer, M. Stach, R. Kraft, J. Allgaier, M. Reichert, W. Schlee, T. Probst, B. Langguth, and R. Pryss. Scientific Reports, 13 (1): 8989 (2023)
a year ago by @ike-b_uniwue
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2Comprehension of business process models: Insight into cognitive strategies via eye tracking
M. Tallon, M. Winter, R. Pryss, K. Rakoczy, M. Reichert, M. Greenlee, and U. Frick. Expert Systems with Applications, (2019)
a year ago by @ike-b_uniwue
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3Towards the Applicability of Measuring the Electrodermal Activity in the Context of Process Model Comprehension: Feasibility Study
M. Winter, R. Pryss, T. Probst, and M. Reichert. Sensors, 20 (16): 4561 (2020)
a year ago by @ike-b_uniwue
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3Mobile Health App Database - A Repository for Quality Ratings of mHealth Apps
M. Stach, R. Kraft, T. Probst, E. Messner, Y. Terhorst, H. Baumeister, M. Schickler, M. Reichert, L. Sander, and R. Pryss. 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS), page 427-432. (2020)
a year ago by @ike-b_uniwue
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3The Effect of Non-Personalised Tips on the Continued Use of Self-Monitoring mHealth Applications
V. Unnikrishnan, M. Schleicher, Y. Shah, N. Jamaludeen, R. Pryss, J. Schobel, R. Kraft, W. Schlee, and M. Spiliopoulou. Brain Sciences, 10 (12): 924 (2020)
a year ago by @ike-b_uniwue
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3Combining Mobile Crowdsensing and Ecological Momentary Assessments in the Healthcare Domain
R. Kraft, W. Schlee, M. Stach, M. Reichert, B. Langguth, H. Baumeister, T. Probst, R. Hannemann, and R. Pryss. Frontiers in Neuroscience, (2020)
a year ago by @ike-b_uniwue
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2Efficient Processing of Geospatial mHealth Data Using a Scalable Crowdsensing Platform
R. Kraft, F. Birk, M. Reichert, A. Deshpande, W. Schlee, B. Langguth, H. Baumeister, T. Probst, M. Spiliopoulou, and R. Pryss. Sensors, 20 (12): 3456 (2020)
a year ago by @ike-b_uniwue
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2TinnituSense: a Mobile Electroencephalography (EEG) Smartphone App for Tinnitus Research
M. Mehdi, F. Diemer, L. Hennig, A. Dode, R. Pryss, W. Schlee, M. Reichert, and F. Hauck. (2021)
a year ago by @nuernbergerc
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2TinnituSense: a Mobile Electroencephalography (EEG) Smartphone App for Tinnitus Research
M. Mehdi, F. Diemer, L. Hennig, A. Dode, R. Pryss, W. Schlee, M. Reichert, and F. Hauck. (2021)
a year ago by @ike-b_uniwue
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2Are Non-Experts Able to Comprehend Business Process Models--Study Insights Involving Novices and Experts
M. Winter, R. Pryss, T. Probst, W. Schlee, M. Tallon, U. Frick, and M. Reichert. arXiv preprint arXiv:2107.02030, (2021)
a year ago by @ike-b_uniwue
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2Applying Eye Movement Modeling Examples to Guide Novices’ Attention in the Comprehension of Process Models
M. Winter, R. Pryss, T. Probst, and M. Reichert. Brain Sciences, 11 (1): 72 (2021)
a year ago by @ike-b_uniwue
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3How Healthcare Professionals Comprehend Process Models - An Empirical Eye Tracking Analysis
M. Winter, C. Bredemeyer, M. Reichert, H. Neumann, T. Probst, and R. Pryss. 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), page 313-318. (2021)
a year ago by @ike-b_uniwue
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3Towards Measuring and Quantifying the Comprehensibility of Process Models - The Process Model Comprehension Framework
M. Winter, R. Pryss, M. Fink, and M. Reichert. ArXiv, (2021)
a year ago by @ike-b_uniwue
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4UNITI Mobile—EMI-Apps for a Large-Scale European Study on Tinnitus
C. Vogel, J. Schobel, W. Schlee, M. Engelke, and R. Pryss. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), page 2358-2362. (2021)
a year ago by @nuernbergerc
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4UNITI Mobile—EMI-Apps for a Large-Scale European Study on Tinnitus
C. Vogel, J. Schobel, W. Schlee, M. Engelke, and R. Pryss. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), page 2358-2362. (2021)
a year ago by @ike-b_uniwue
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4Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data
V. Unnikrishnan, Y. Shah, M. Schleicher, C. Fernández-Viadero, M. Strandzheva, D. Velikova, P. Dimitrov, R. Pryss, J. Schobel, W. Schlee and 1 other author(s). 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), page 295-300. (2021)
a year ago by @nuernbergerc
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publications (hide)127
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2Determinants and reference values of the 6-min walk distance in the general population-results of the population-based STAAB cohort study

2Exploring the usability of an internet-based intervention and its providing eHealth platform in an eye-tracking study

3A Highly Configurable EMA and JITAI Mobile App Framework Utilized in a Large-Scale German Study on Breast Cancer Aftercare

3A Similarity-Guided Framework for Error-Driven Discovery of Patient Neighbourhoods in EMA Data

2Predicting the presence of tinnitus using ecological momentary assessments

2Comprehension of business process models: Insight into cognitive strategies via eye tracking

3Towards the Applicability of Measuring the Electrodermal Activity in the Context of Process Model Comprehension: Feasibility Study

3Mobile Health App Database - A Repository for Quality Ratings of mHealth Apps

3The Effect of Non-Personalised Tips on the Continued Use of Self-Monitoring mHealth Applications

3Combining Mobile Crowdsensing and Ecological Momentary Assessments in the Healthcare Domain

2Efficient Processing of Geospatial mHealth Data Using a Scalable Crowdsensing Platform

2TinnituSense: a Mobile Electroencephalography (EEG) Smartphone App for Tinnitus Research

2TinnituSense: a Mobile Electroencephalography (EEG) Smartphone App for Tinnitus Research

2Are Non-Experts Able to Comprehend Business Process Models--Study Insights Involving Novices and Experts

2Applying Eye Movement Modeling Examples to Guide Novices’ Attention in the Comprehension of Process Models

3How Healthcare Professionals Comprehend Process Models - An Empirical Eye Tracking Analysis

3Towards Measuring and Quantifying the Comprehensibility of Process Models - The Process Model Comprehension Framework

4UNITI Mobile—EMI-Apps for a Large-Scale European Study on Tinnitus

4UNITI Mobile—EMI-Apps for a Large-Scale European Study on Tinnitus

4Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data

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