Johannes Schobel

Orcid: 0000-0002-6874-9478

Affiliations:
  • Neu-Ulm University of Applied Sciences, Germany
  • Ulm University, Germany (former)


According to our database1, Johannes Schobel authored at least 60 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2024
Insights into the Quality of Mobile Health Apps: Preliminary Results of an Analysis of MARS Scores.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

Serious Games in Orofacial Myofunctional Disorder Therapy for Children: An Expert Survey.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

Comparing nnU-Net and deepflash2 for Histopathological Tumor Segmentation.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

Predicting User Engagement in mHealth Apps with Neighborhood-based Approaches.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

2023
Prediction meets time series with gaps: User clusters with specific usage behavior patterns.
Artif. Intell. Medicine, August, 2023

Self-Assessment of Having COVID-19 With the Corona Check mHealth App.
IEEE J. Biomed. Health Informatics, June, 2023

Developing a Gamification-Based mHealth Platform to Support Orofacial Myofunctional Therapy for Children.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

Concept and Requirements for an Educational Serious Game Teaching Pandemic Management.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

Towards an Architecture for Collecting a Multidimensional Glioblastoma Dataset.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022
Collecting Data from Senior Citizens Using Serious Games.
Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

PeterPandemic: A Serious Game for Pandemic Management.
Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

Expect the gap: A recommender approach to estimate the absenteeism of self-monitoring mHealth app users.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Prediction of declining engagement to self-monitoring apps on the example of tinnitus mHealth data.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

2021
Interactive System for Similarity-Based Inspection and Assessment of the Well-Being of mHealth Users.
Entropy, 2021

Corona Health - A Study- and Sensor-based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic.
CoRR, 2021

Medical device regulation efforts for mHealth apps - An experience report of Corona Check and Corona Health.
CoRR, 2021

Perspective on mHealth Concepts to Ensure Users' Empowerment-From Adverse Event Tracking for COVID-19 Vaccinations to Oncological Treatment.
IEEE Access, 2021

Developing Apps for Researching the COVID-19 Pandemic with the TrackYourHealth Platform.
Proceedings of the 8th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2021

Quantifying Heterogeneity in Tumors: Proposing a New Method Utilizing Convolutional Neuronal Networks.
Proceedings of the Informatics and Technology in Clinical Care and Public Health, 2021

UNITI Mobile - EMI-Apps for a Large-Scale European Study on Tinnitus.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

User-centric vs whole-stream learning for EMA prediction.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

Circadian Conditional Granger Causalities on Ecological Momentary Assessment Data from an mHealth App.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

Apps for Covid-19 in Germany: Assessment Using the Mobile Application Rating Scale.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from?
Proceedings of the Discovery Science - 23rd International Conference, 2020

2019
Prospective crowdsensing versus retrospective ratings of tinnitus variability and tinnitus-stress associations based on the TrackYourTinnitus mobile platform.
Int. J. Data Sci. Anal., 2019

Enabling Sophisticated Lifecycle Support for Mobile Healthcare Data Collection Applications.
IEEE Access, 2019

Applicability of Immersive Analytics in Mixed Reality: Usability Study.
IEEE Access, 2019

Machine Learning Findings on Geospatial Data of Users from the TrackYourStress mHealth Crowdsensing Platform.
Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019

Ecological Momentary Assessment based Differences between Android and iOS Users of the TrackYourHearing mHealth Crowdsensing Platform.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
A model-driven framework for enabling flexible and robust mobile data collection applications.
PhD thesis, 2018

Requirements for a Flexible and Generic API Enabling Mobile Crowdsensing mHealth Applications.
Proceedings of the 4th International Workshop on Requirements Engineering for Self-Adaptive, 2018

Usability Study on Mobile Processes Enabling Remote Therapeutic Interventions.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

Finding Tinnitus Patients with Similar Evolution of Their Ecological Momentary Assessments.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

2017
The Area Framework for Location-Based Smart Mobile Augmented Reality Applications.
J. Ubiquitous Syst. Pervasive Networks, 2017

Process-Driven Mobile Data Collection.
EMISA Forum, 2017

Supporting Remote Therapeutic Interventions with Mobile Processes.
Proceedings of the IEEE International Conference on AI & Mobile Services, 2017

Enabling Tracks in Location-Based Smart Mobile Augmented Reality Applications.
Proceedings of the 14th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2017) / 12th International Conference on Future Networks and Communications (FNC 2017) / Affiliated Workshops, 2017

Towards Patterns for Defining and Changing Data Collection Instruments in Mobile Healthcare Scenarios.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

An IT Platform Enabling Remote Therapeutic Interventions.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Towards Flexible Remote Therapeutic Interventions.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Mobile Crowdsensing for the Juxtaposition of Realtime Assessments and Retrospective Reporting for Neuropsychiatric Symptoms.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Eye Tracking Experiments on Process Model Comprehension: Lessons Learned.
Proceedings of the Enterprise, Business-Process and Information Systems Modeling, 2017

Development of Mobile Data Collection Applications by Domain Experts: Experimental Results from a Usability Study.
Proceedings of the Advanced Information Systems Engineering, 2017

Business Process Intelligence Tools.
Proceedings of the Advances in Intelligent Process-Aware Information Systems, 2017

A Predictive Approach Enabling Process Execution Recommendations.
Proceedings of the Advances in Intelligent Process-Aware Information Systems, 2017

2016
A Lightweight Process Engine for Enabling Advanced Mobile Applications.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2016 Conferences, 2016

End-User Programming of Mobile Services: Empowering Domain Experts to Implement Mobile Data Collection Applications.
Proceedings of the 2016 IEEE International Conference on Mobile Services, MS 2016, San Francisco, CA, USA, June 27, 2016

A Mobile Service Engine Enabling Complex Data Collection Applications.
Proceedings of the Service-Oriented Computing - 14th International Conference, 2016

A Configurator Component for End-User Defined Mobile Data Collection Processes.
Proceedings of the Service-Oriented Computing - ICSOC 2016 Workshops, 2016

Advanced Algorithms for Location-Based Smart Mobile Augmented Reality Applications.
Proceedings of the 11th International Conference on Future Networks and Communications (FNC 2016) / The 13th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2016) / Affiliated Workshops, 2016

Towards Flexible Mobile Data Collection in Healthcare.
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016

Using Mobile Serious Games in the Context of Chronic Disorders: A Mobile Game Concept for the Treatment of Tinnitus.
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016

Using Wearables in the Context of Chronic Disorders: Results of a Pre-Study.
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016

2015
Using Smart Mobile Devices for Collecting Structured Data in Clinical Trials: Results from a Large-Scale Case Study.
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015

2014
Process-Driven Data Collection with Smart Mobile Devices.
Proceedings of the Web Information Systems and Technologies, 2014

Towards Process-driven Mobile Data Collection Applications - Requirements, Challenges, Lessons Learned.
Proceedings of the WEBIST 2014, 2014

An Engine Enabling Location-Based Mobile Augmented Reality Applications.
Proceedings of the Web Information Systems and Technologies, 2014

Location-based Mobile Augmented Reality Applications - Challenges, Examples, Lessons Learned.
Proceedings of the WEBIST 2014, 2014

2013
Using Vital Sensors in Mobile Healthcare Business Applications - Challenges, Examples, Lessons Learned.
Proceedings of the WEBIST 2013, 2013


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