52 citations · 77 across the 12 of their papers we have counts for
13 papers
Training and Validating a Treatment Recommender with Partial Verification Evidence
Vishnu Unnikrishnan, Clara Puga, Miro Schleicher +11
Current clinical decision support systems (DSS) are trained and validated on observational data from the target clinic. This is problematic for treatments validated in a randomized…
Social Media App Usage in Relation with PHQ-9 Depression Scores during the COVID-19 Pandemic
Lena Mulansky, Rüdiger Pryss, Caroline Cohrdes +2
With about 300 million affected people, major depressive disorder (MDD) is one of the most common diseases worldwide. During the COVID-19 pandemic, the number of cases increased ev…
Defining Gaze Patterns for Process Model Literacy -- Exploring Visual Routines in Process Models with Diverse Mappings
Michael Winter, Heiko Neumann, Rüdiger Pryss +2
Process models depict crucial artifacts for organizations regarding documentation, communication, and collaboration. The proper comprehension of such models is essential for an eff…
UNITI Mobile -- EMI-Apps for a Large-Scale European Study on Tinnitus
Carsten Vogel, Johannes Schobel, Winfried Schlee +2
More and more observational studies exploit the achievements of mobile technology to ease the overall implementation procedure. Many strategies like digital phenotyping, ecological…
Are Non-Experts Able to Comprehend Business Process Models -- Study Insights Involving Novices and Experts
Michael Winter, Rüdiger Pryss, Thomas Probst +4
The comprehension of business process models is crucial for enterprises. Prior research has shown that children as well as adolescents perceive and interpret graphical representati…
Corona Health -- A Study- and Sensor-based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic
Felix Beierle, Johannes Schobel, Carsten Vogel +29
Physical and mental well-being during the COVID-19 pandemic is typically assessed via surveys, which might make it difficult to conduct longitudinal studies and might lead to data…
Towards Measuring and Quantifying the Comprehensibility of Process Models -- The Process Model Comprehension Framework
Michael Winter, Rüdiger Pryss, Matthias Fink +1
Process models constitute crucial artifacts in modern information systems and, hence, the proper comprehension of these models is of utmost importance in the utilization of such sy…
Medical device regulation efforts for mHealth apps -- An experience report of Corona Check and Corona Health
Marc Holfelder, Lena Mulansky, Winfried Schlee +5
Within the healthcare environment, mobile health (mHealth) applications (apps) are more and more important. The number of new mHealth apps has risen steadily in the last years. Esp…
Public Perception of the German COVID-19 Contact-Tracing App Corona-Warn-App
Felix Beierle, Uttam Dhakal, Caroline Cohrdes +2
Several governments introduced or promoted the use of contact-tracing apps during the ongoing COVID-19 pandemic. In Germany, the related app is called Corona-Warn-App, and by end o…
Developing Apps for Researching the COVID-19 Pandemic with the TrackYourHealth Platform
Carsten Vogel, Rüdiger Pryss, Johannes Schobel +2
Through lockdowns and other severe changes to daily life, almost everyone is affected by the COVID-19 pandemic. Scientists and medical doctors are - among others - mainly intereste…
Detecting Production Phases Based on Sensor Values using 1D-CNNs
Burkhard Hoppenstedt, Manfred Reichert, Ghada El-Khawaga +3
In the context of Industry 4.0, the knowledge extraction from sensor information plays an important role. Often, information gathered from sensor values reveals meaningful insights…
Context Data Categories and Privacy Model for Mobile Data Collection Apps
Felix Beierle, Vinh Thuy Tran, Mathias Allemand +5
Context-aware applications stemming from diverse fields like mobile health, recommender systems, and mobile commerce potentially benefit from knowing aspects of the user's personal…
TYDR - Track Your Daily Routine. Android App for Tracking Smartphone Sensor and Usage Data
Felix Beierle, Vinh Thuy Tran, Mathias Allemand +5
We present the Android app TYDR (Track Your Daily Routine) which tracks smartphone sensor and usage data and utilizes standardized psychometric personality questionnaires. With the…