Towards Process-driven Mobile Data Collection Applications - Requirements, Challenges, Lessons Learned

Johannes Schobel, Marc Schickler, Rüdiger Pryss, Fabian Maier, Manfred Reichert

2014

Abstract

In application domains like healthcare, psychology and e-learning, data collection is based on specifically tailored paper & pencil questionnaires. Usually, such a paper-based data collection is accomplished by a massive workload regarding the processing, analysis, and evaluation of the data collected. To relieve domain experts from these manual tasks and to increase the efficiency of the data collection process, we developed a generic approach for realizing process-driven smart mobile device applications based on process management technology. According to this approach, the logic of a questionnaire is described in terms of an explicit process model whose enactment is driven by a generic process engine. Our goal is to demonstrate that such a process-aware design of mobile business applications is useful with respect to mobile data collection. Hence, we developed a generic architecture comprising the main components of mobile data collection applications. Furthermore, we used these components for developing mobile electronic questionnaires for psychological studies. The paper presents the challenges identified in this context and discusses the lessons learned. Overall, process management technology offers promising perspectives for developing mobile business applications at a high level of abstraction.

References

  1. Anandarajan, M., Anandarajan, A., and Srinivasan, C. A. (2003). Business intelligence techniques: a perspective from accounting and finance. Springer.
  2. Business Process Model (2011). Business Process Model and Notation (BPMN) Version 2.0. OMG Specification, Object Management Group.
  3. (2013). Screening for mental disorders in post-conflict regions using computer apps - a feasibility study from burundi. In XIII Congress of European Society of Traumatic Stress Studies (ESTSS) Conference.
  4. Curbera, F., Duftler, M., Khalaf, R., Nagy, W., Mukhi, N., and Weerawarana, S. (2002). Unraveling the Web services web: an introduction to SOAP, WSDL, and UDDI. IEEE, Internet Computing, 6(2):86-93.
  5. Dadam, P. and Reichert, M. (2009). The ADEPT Project: A Decade of Research and Development for Robust and Flexible Process Support - Challenges and Achievements. Computer Science - Research and Development, 23(2):81-97.
  6. Electric Paper Evaluationssysteme (2013). EvaSys. http://www.evasys.de/. last visited: 05. November 2013.
  7. Isele, D., Ruf-Leuschner, M., Pryss, R., Schauer, M., Reichert, M., Schobel, J., Schindler, A., and Elbert, T. (2013). Detecting adverse childhood experiences with a little help from tablet computers. In XIII Congress of European Society of Traumatic Stress Studies (ESTSS) Conference.
  8. Kolb, J., H übner, P., and Reichert, M. (2012). Automatically Generating and Updating User Interface Components in Process-Aware Information Systems. In 20th Int'l Conference on Cooperative Information Systems, number 7565 in LNCS, pages 444-454. Springer.
  9. Kolb, J. and Reichert, M. (2013). A flexible approach for abstracting and personalizing large business process models. Applied Computing Review, 13(1):6-17.
  10. Kunze, C. P., Zaplata, S., and Lamersdorf, W. (2007). Mobile processes: Enhancing cooperation in distributed mobile environments. Journal of Computers, 2(1):1- 11.
  11. Liebrecht, M. (2012). Technische Konzeption und Realisierung einer mobilen Anwendung f ür den Konstanzer Index zur Erhebung von psychosozialen Belastungen während der Schwangerschaft. Diploma Thesis, University of Ulm.
  12. Movilitas (2013). Movilitas Consulting AG. http://www.movilitas.com/. last visited: 04. November 2013.
  13. Paul, D., Wallis, M., Henskens, F., and Nolan, K. (2013). QuON: A Generic Platform for the Collation and Sharing of Web Survey Data. International Conference on Web Information Systems and Technologies.
  14. Pryss, R., Langer, D., Reichert, M., and Hallerbach, A. (2012). Mobile Task Management for Medical Ward Rounds - The MEDo Approach. In 1st Int'l Workshop on Adaptive Case Management (ACM'12), BPM'12 Workshops, number 132 in LNBIP, pages 43-54. Springer.
  15. Pryss, R., Musiol, S., and Reichert, M. (2013). Collaboration Support Through Mobile Processes and Entailment Constraints. In 9th IEEE Int'l Conference on Collaborative Computing: Networking, Applications and Worksharing. IEEE Computer Society Press.
  16. Pryss, R., Tiedeken, J., Kreher, U., and Reichert, M. (2010a). Towards flexible process support on mobile devices. In Proc CAiSE'10 Forum - Information Systems Evolution, number 72 in LNBIP, pages 150-165. Springer.
  17. Pryss, R., Tiedeken, J., and Reichert, M. (2010b). Managing Processes on Mobile Devices: The MARPLE Approach. In CAiSE'10 Demos.
  18. Reichert, M. and Dadam, P. (1998). ADEPTflex-Supporting Dynamic Changes of Workflows Without Losing Control. Journal of Intelligent Information Systems, Special Issue on Workflow Management Systems, 10(2):93-129.
  19. Reichert, M. and Dadam, P. (2009). Enabling Adaptive Process-aware Information Systems with ADEPT2. In Cardoso, J. and van der Aalst, W., editors, Handbook of Research on Business Process Modeling, pages 173-203. Information Science Reference, Hershey, New York.
  20. Reichert, M., Dadam, P., Rinderle-Ma, S., Jurisch, M., Kreher, U., and Goeser, K. (2009). Architecural Principles and Components of Adaptive Process Management Technology. In PRIMIUM - Process Innovation for Enterprise Software, number P-151 in Lecture Notes in Informatics (LNI), pages 81-97.
  21. Reichert, M. and Weber, B. (2012). Enabling Flexibility in Process-Aware Information Systems: Challenges, Methods, Technologies. Springer, Berlin-Heidelberg.
  22. Robecke, A., Pryss, R., and Reichert, M. (2011). DBIScholar: An iPhone Application for Performing Citation Analyses. In CAiSE Forum-2011, volume Vol-73 of Proc CAiSE'11 Forum. CEUR Workshop Proceedings.
  23. Ruf-Leuschner, M., Pryss, R., Liebrecht, M., Schobel, J., Spyridou, A., Reichert, M., and Schauer, M. (2013). Preventing further trauma: KINDEX mum screen - assessing and reacting towards psychosocial risk factors in pregnant women with the help of smartphone technologies. In XIII Congress of European Society of Traumatic Stress Studies (ESTSS) Conference.
  24. Schindler, A. (2013). Technische Konzeption und Realisierung des MACE-Tests mittels mobiler Technologie. Bachelor Thesis, University of Ulm.
  25. Schobel, J., Schickler, M., Pryss, R., Nienhaus, H., and Reichert, M. (2013). Using Vital Sensors in Mobile Healthcare Business Applications: Challenges, Examples, Lessons Learned. In 9th Int'l Conference on Web Information Systems and Technologies (WEBIST 2013), Special Session on Business Apps, pages 509- 518.
  26. SurveyMonkey (2013). SurveyMonkey: Free online survey software & questionnaire tool. http://www.surveymonkey.com/. last visited: 14. May 2013.
  27. van der Aalst, W. M., Reijers, H. A., Weijters, A. J., van Dongen, B. F., Alves de Medeiros, A., Song, M., and Verbeek, H. (2007). Business process mining: An industrial application. Information Systems, 32(5):713- 732.
  28. Wakholi, P., Chen, W., and Klungsøyr, J. (2011). Workflow support for mobile data collection. In Enterprise, Business-Process and Information Systems Modeling, pages 299-313. Springer.
  29. Weber, B., Reichert, M., Mendling, J., and Reijers, H. (2011). Refactoring large process model repositories. Computers in Industry, 62(5):467-486.
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Paper Citation


in Harvard Style

Schobel J., Schickler M., Pryss R., Maier F. and Reichert M. (2014). Towards Process-driven Mobile Data Collection Applications - Requirements, Challenges, Lessons Learned . In Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 2: BA, (WEBIST 2014) ISBN 978-989-758-024-6, pages 371-382. DOI: 10.5220/0004970203710382


in Bibtex Style

@conference{ba14,
author={Johannes Schobel and Marc Schickler and Rüdiger Pryss and Fabian Maier and Manfred Reichert},
title={Towards Process-driven Mobile Data Collection Applications - Requirements, Challenges, Lessons Learned},
booktitle={Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 2: BA, (WEBIST 2014)},
year={2014},
pages={371-382},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004970203710382},
isbn={978-989-758-024-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 2: BA, (WEBIST 2014)
TI - Towards Process-driven Mobile Data Collection Applications - Requirements, Challenges, Lessons Learned
SN - 978-989-758-024-6
AU - Schobel J.
AU - Schickler M.
AU - Pryss R.
AU - Maier F.
AU - Reichert M.
PY - 2014
SP - 371
EP - 382
DO - 10.5220/0004970203710382