BA 2014 Abstracts

Full Papers
Paper Nr: 2

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


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

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.

Paper Nr: 4

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


Philip Geiger, Marc Schickler, Rüdiger Pryss, Johannes Schobel and Manfred Reichert

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.

Short Papers
Paper Nr: 5

Alternative Communication System for Emergency Situations


I. Santos-González, A. Rivero-García, P. Caballero-Gil and C. Hernández-Goya

Abstract: Nowadays, many different technologies can be used for wireless communication in various types of situations. However, most of them depend on network infrastructures like mobile communication antennas, which can be unavailable due to distinct problems such as natural disasters, terrorist attacks or huge people agglomerations in massive events like demonstrations, concerts or sport events. This paper presents a solution to this problem, which is based on a new communication system that uses the Wi-Fi Direct technology to deploy secure communications independently of the network infrastructure.