Towards Flexible Process Support on Mobile Devices

Pryss, Rüdiger; Tiedeken, Julian; Kreher, Ulrich; Reichert, Manfred

doi:10.1007/978-3-642-17722-4_11

Cited by 46 publications

(21 citation statements)

References 19 publications

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“…Finally, research on business process management offers flexible concepts, which are useful for enabling proper exception handling in the context of mobile applications as well (Pryss et al, 2012;Pryss et al, 2013;Pryss et al, 2010). Since mobile augmented reality applications may cause various errors (e.g., sensor data is missing), adopting these concepts is promising.…”

Section: Discussionmentioning

confidence: 99%

Location-based Mobile Augmented Reality Applications - Challenges, Examples, Lessons Learned

Geiger

Schickler

Pryss

et al. 2014

Proceedings of the 10th International Conference on Web Information Systems and Technologies

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Abstract:The technical capabilities of modern smart mobile devices more and more enable us to run desktop-like applications with demanding resource requirements in mobile environments. Along this trend, numerous concepts, techniques, and prototypes have been introduced, focusing on basic implementation issues of mobile applications. However, only little work exists that deals with the design and implementation (i.e., the engineering) of advanced smart mobile applications and reports on the lessons learned in this context. In this paper, we give profound insights into the design and implementation of such an advanced mobile application, which enables location-based mobile augmented reality on two different mobile operating systems (i.e., iOS and Android).In particular, this kind of mobile application is characterized by high resource demands since various sensors must be queried at run time and numerous virtual objects may have to be drawn in realtime on the screen of the smart mobile device (i.e., a high frame count per second be caused). We focus on the efficient implementation of a robust mobile augmented reality engine, which provides location-based functionality, as well as the implementation of mobile business applications based on this engine. In the latter context, we also discuss the lessons learned when implementing mobile business applications with our mobile augmented reality engine.

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Section: Discussionmentioning

confidence: 99%

Location-based Mobile Augmented Reality Applications - Challenges, Examples, Lessons Learned

Geiger

Schickler

Pryss

et al. 2014

Proceedings of the 10th International Conference on Web Information Systems and Technologies

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show abstract

“…Particularly, considerable customization efforts were required in order to integrate software applications. Current PrMSs, however, offer advanced capabilities for managing business processes, such as enhanced support for human collaboration, flexible activity execution [62], mobile access to processes [58], and analytic and real-time decision management. As such, PrMSs are now seen as the bridge between Information Technology (IT), business analysts, information system engineers, and end users, by offering process management features and tools in a way that provides benefits for both business users and engineers [20].…”

Section: Prmss and The Business Processes Lifecyclementioning

confidence: 99%

DALEC: a framework for the systematic evaluation of data-centric approaches to process management software

et al. 2018

Self Cite

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The increasing importance of data in business processes has led to the emergence of data-centric business process management, which deviates from the widely used activity-centric paradigm. Data-centric approaches set their focus on data, aiming at supporting data-intensive business processes and increased process flexibility. The objective of this article is to gain profound insights into the maturity of different data-centric approaches as well as their capabilities. In particular, this article will provide a framework for systematically evaluating and comparing data-centric approaches, with regard to the phases of the business process lifecycle. To this end, a systematic literature review (SLR) was conducted with the goal of evaluating the capabilities of data-centric process management approaches. The SLR comprises 38 primary studies which were thoroughly analyzed. The studies were categorized into different approaches, whose capabilities were thoroughly assessed. Special focus was put on the tooling and software of the approaches. The article provides the empirically grounded DALEC framework to evaluate and compare data-centric approaches. Furthermore, the results of the SLR offer insights into existing data-centric approaches and their capabilities. Data-centric approaches promise better support of loosely structured and data-intensive business processes, which may not be adequately represented by activity-centric paradigms.

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“…In order to cope with this issue, a light-weight process engine is required, which can run on the smart mobile device. We have started working in this direction as well; e.g., see (Pryss et al, 2010a;Pryss et al, 2010b).…”

Section: Proof-of-concept Prototypementioning

confidence: 99%

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

Schobel

Schickler

Pryss

et al. 2014

Proceedings of the 10th International Conference on Web Information Systems and Technologies

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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.

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Towards Flexible Process Support on Mobile Devices

Cited by 46 publications

References 19 publications

Location-based Mobile Augmented Reality Applications - Challenges, Examples, Lessons Learned

Location-based Mobile Augmented Reality Applications - Challenges, Examples, Lessons Learned

DALEC: a framework for the systematic evaluation of data-centric approaches to process management software

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

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