TY - THES A1 - Latz, Annika T1 - Konzeptentwicklung einer spielerischen Lernanwendung für Studierende N2 - Ziel der Arbeit war es eine spielerische Lernanwendung für Studierende der FH-Aachen zu entwickeln, um das individuelle Lernen zu fördern. Dabei lag der Fokus auf der Konzeptentwicklung eines Serious Games für die Fachhochschule Aachen. Abgeleitet von Motivationstheorien, Game Design Frameworks und Eigenschaften von digitalen spielerischen Konzepten wurde ein Vorgehensmodell zur Konzeptentwicklung eines Serious Games erstellt. Wichtige Punkte für die Anwendung waren eine intensive Austauschmöglichkeiten für Studierende und das Integrieren dieser in die Lehrveranstaltungen der FH-Aachen. In der abschließenden Evaluation wurde positives Feedback der Studierenden eingeholt und damit das Ziel der Arbeit erreicht. Zusätzlich wurde für das erarbeitete Konzept die Wirtschaftlichkeit überprüft. Dafür wurde während der Bearbeitungszeit mit einem aufgestellten Team ein Business Plan für das Förderprogramm Start-Up transfer.NRW entwickelt. KW - Serious Game KW - Digitale Lehre KW - Digital Game Based Learning KW - Education KW - Gamification Y1 - 2021 ER - TY - CHAP A1 - Dey, Thomas A1 - Elsen, Ingo A1 - Ferrein, Alexander A1 - Frauenrath, Tobias A1 - Reke, Michael A1 - Schiffer, Stefan ED - Makedon, Fillia T1 - CO2 Meter: a do-it-yourself carbon dioxide measuring device for the classroom T2 - PETRA 2021: The 14th PErvasive Technologies Related to Assistive Environments Conference N2 - In this paper we report on CO2 Meter, a do-it-yourself carbon dioxide measuring device for the classroom. Part of the current measures for dealing with the SARS-CoV-2 pandemic is proper ventilation in indoor settings. This is especially important in schools with students coming back to the classroom even with high incidents rates. Static ventilation patterns do not consider the individual situation for a particular class. Influencing factors like the type of activity, the physical structure or the room occupancy are not incorporated. Also, existing devices are rather expensive and often provide only limited information and only locally without any networking. This leaves the potential of analysing the situation across different settings untapped. Carbon dioxide level can be used as an indicator of air quality, in general, and of aerosol load in particular. Since, according to the latest findings, SARS-CoV-2 can be transmitted primarily in the form of aerosols, carbon dioxide may be used as a proxy for the risk of a virus infection. Hence, schools could improve the indoor air quality and potentially reduce the infection risk if they actually had measuring devices available in the classroom. Our device supports schools in ventilation and it allows for collecting data over the Internet to enable a detailed data analysis and model generation. First deployments in schools at different levels were received very positively. A pilot installation with a larger data collection and analysis is underway. KW - embedded hardware KW - sensor networks KW - information systems KW - education KW - do-it-yourself Y1 - 2021 SN - 9781450387927 U6 - http://dx.doi.org/10.1145/3453892.3462697 N1 - PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference Corfu Greece 29 June 2021- 2 July 2021 SP - 292 EP - 299 PB - Association for Computing Machinery CY - New York ER - TY - CHAP A1 - Schneider, Dominik A1 - Wisselink, Frank A1 - Nölle, Nikolai A1 - Czarnecki, Christian ED - Barton, Thomas ED - Müller, Christian T1 - Einfluss von Künstlicher Intelligenz auf Customer Journeys am Beispiel von intelligentem Parken T2 - Künstliche Intelligenz in der Anwendung : Rechtliche Aspekte, Anwendungspotenziale und Einsatzszenarien N2 - Im Konsumentenmarkt entstehen vermehrt neue Anwendungen von Künstlicher Intelligenz (KI). Zunehmend drängen auch Geräte und Dienste in den Markt, die eigenständig über das Internet kommunizieren. Dadurch können diese Geräte und Dienste mit neuartigen KI-basierten Diensten verbessert werden. Solche Dienste können die Art und Weise beeinflussen, wie Kunden kommerzielle Entscheidungen treffen und somit das Kundenerlebnis maßgeblich verändern. Der Einfluss von KI auf kommerzielle Interaktionen wurde bisher noch nicht umfassend untersucht. Basierend auf einem Framework, welches einen ersten Überblick über die Effekte von KI auf kommerzielle Interaktionen gibt, wird in diesem Kapitel der Einfluss von KI auf Customer Journeys am konkreten Anwendungsfall des intelligenten Parkens analysiert. Die daraus gewonnenen Erkenntnisse können in der Praxis als Grundlage genutzt werden, um das Potenzial von KI zu verstehen und bei der Gestaltung eigener Customer Journeys umzusetzen. KW - Kommerzielle Interaktionen KW - Customer Journeys KW - Prozessagilität KW - Customer Experience Management KW - Intelligentes Parken Y1 - 2021 SN - 978-3-658-30935-0 (Print) SN - 978-3-658-30936-7 (Online) U6 - http://dx.doi.org/10.1007/978-3-658-30936-7_7 SP - 99 EP - 122 PB - Springer Vieweg CY - Wiesbaden ER - TY - CHAP A1 - Croon, Philipp A1 - Czarnecki, Christian ED - Czarnecki, Christian ED - Fettke, Peter T1 - Liability for loss or damages caused by RPA T2 - Robotic process automation : Management, technology, applications N2 - Intelligent autonomous software robots replacing human activities and performing administrative processes are reality in today’s corporate world. This includes, for example, decisions about invoice payments, identification of customers for a marketing campaign, and answering customer complaints. What happens if such a software robot causes a damage? Due to the complete absence of human activities, the question is not trivial. It could even happen that no one is liable for a damage towards a third party, which could create an uncalculatable legal risk for business partners. Furthermore, the implementation and operation of those software robots involves various stakeholders, which result in the unsolvable endeavor of identifying the originator of a damage. Overall it is advisable to all involved parties to carefully consider the legal situation. This chapter discusses the liability of software robots from an interdisciplinary perspective. Based on different technical scenarios the legal aspects of liability are discussed. KW - robotic process automation KW - artificial intelligence KW - liability KW - culpability Y1 - 2021 SN - 9783110676778 SN - 9783110676693 SN - 9783110676686 U6 - http://dx.doi.org/10.1515/9783110676693-202 SP - 135 EP - 151 PB - De Gruyter CY - Oldenbourg ER - TY - CHAP A1 - Bensberg, Frank A1 - Auth, Gunnar A1 - Czarnecki, Christian ED - Czarnecki, Christian ED - Fettke, Peter T1 - Finding the perfect RPA match : a criteria-based selection method for RPA solutions T2 - Robotic process automation : Management, technology, applications N2 - The benefits of robotic process automation (RPA) are highly related to the usage of commercial off-the-shelf (COTS) software products that can be easily implemented and customized by business units. But, how to find the best fitting RPA product for a specific situation that creates the expected benefits? This question is related to the general area of software evaluation and selection. In the face of more than 75 RPA products currently on the market, guidance considering those specifics is required. Therefore, this chapter proposes a criteria-based selection method specifically for RPA. The method includes a quantitative evaluation of costs and benefits as well as a qualitative utility analysis based on functional criteria. By using the visualization of financial implications (VOFI) method, an application-oriented structure is provided that opposes the total cost of ownership to the time savings times salary (TSTS). For the utility analysis a detailed list of functional criteria for RPA is offered. The whole method is based on a multi-vocal review of scientific and non-scholarly literature including publications by business practitioners, consultants, and vendors. The application of the method is illustrated by a concrete RPA example. The illustrated structures, templates, and criteria can be directly utilized by practitioners in their real-life RPA implementations. In addition, a normative decision process for selecting RPA alternatives is proposed before the chapter closes with a discussion and outlook. KW - robotic process automation KW - business process automation KW - commercial offthe- shelf solutions KW - software evaluation KW - software selection Y1 - 2021 SN - 978-3-11-067677-8 SN - 978-3-11-067669-3 SN - 9783110676686 U6 - http://dx.doi.org/10.1515/9783110676693-201 SP - 47 EP - 75 PB - De Gruyter CY - Oldenbourg ER - TY - CHAP A1 - Czarnecki, Christian A1 - Fettke, Peter ED - Czarnecki, Christian ED - Fettke, Peter T1 - Robotic process automation : Positioning, structuring, and framing the work T2 - Robotic process automation : Management, technology, applications N2 - Robotic process automation (RPA) has attracted increasing attention in research and practice. This chapter positions, structures, and frames the topic as an introduction to this book. RPA is understood as a broad concept that comprises a variety of concrete solutions. From a management perspective RPA offers an innovative approach for realizing automation potentials, whereas from a technical perspective the implementation based on software products and the impact of artificial intelligence (AI) and machine learning (ML) are relevant. RPA is industry-independent and can be used, for example, in finance, telecommunications, and the public sector. With respect to RPA this chapter discusses definitions, related approaches, a structuring framework, a research framework, and an inside as well as outside architectural view. Furthermore, it provides an overview of the book combined with short summaries of each chapter. KW - Robotic process automation KW - management KW - technology KW - applications KW - research framework Y1 - 2021 SN - 978-3-11-067668-6 (Print) SN - 978-3-11-067669-3 (PDF) SN - 978-3-11-067677-8 (ePub) U6 - http://dx.doi.org/10.1515/9783110676693-202 SP - 3 EP - 24 PB - De Gruyter CY - Oldenbourg ER - TY - CHAP A1 - Czarnecki, Christian A1 - Hong, Chin-Gi A1 - Schmitz, Manfred A1 - Dietze, Christian ED - Urbach, Nils ED - Röglinger, Maximilian ED - Kautz, Karlheinz ED - Alias, Rose Alinda ED - Saunders, Carol ED - Wiener, Martin T1 - Enabling digital transformation through cognitive robotic process automation at Deutsche Telekom Services Europe T2 - Digitalization Cases Vol. 2 : Mastering digital transformation for global business N2 - Subject of this case is Deutsche Telekom Services Europe (DTSE), a service center for administrative processes. Due to the high volume of repetitive tasks (e.g., 100k manual uploads of offer documents into SAP per year), automation was identified as an important strategic target with a high management attention and commitment. DTSE has to work with various backend application systems without any possibility to change those systems. Furthermore, the complexity of administrative processes differed. When it comes to the transfer of unstructured data (e.g., offer documents) to structured data (e.g., MS Excel files), further cognitive technologies were needed. Y1 - 2021 SN - 978-3-030-80002-4 (Print) SN - 978-3-030-80003-1 (Online) U6 - http://dx.doi.org/10.1007/978-3-030-80003-1 SP - 123 EP - 138 PB - Springer CY - Cham ER - TY - CHAP A1 - Ritschel, Konstantin A1 - Stenzel, Adina A1 - Czarnecki, Christian A1 - Hong, Chin-Gi ED - Gesellschaft für Informatik e.V. (GI), T1 - Realizing robotic process automation potentials: an architectural perspective on a real-life implementation case T2 - GI Edition Proceedings Band 314 "INFORMATIK 2021" Computer Science & Sustainability N2 - The initial idea of Robotic Process Automation (RPA) is the automation of business processes through a simple emulation of user input and output by software robots. Hence, it can be assumed that no changes of the used software systems and existing Enterprise Architecture (EA) is required. In this short, practical paper we discuss this assumption based on a real-life implementation project. We show that a successful RPA implementation might require architectural work during analysis, implementation, and migration. As practical paper we focus on exemplary lessons-learned and new questions related to RPA and EA. KW - Robotic Process Automation KW - Enterprise Architecture KW - Implementation Case Y1 - 2021 SN - 9783885797081 SN - 1617-5468 N1 - INFORMATIK 2021 – 51. Jahrestagung der Gesellschaft für Informatik, 27. September – 01. Oktober 2021 / Virtuell, Berlin. https://informatik2021.gi.de/ SP - 1303 EP - 1311 PB - Köllen CY - Bonn ER - TY - CHAP A1 - Nikolovski, Gjorgji A1 - Reke, Michael A1 - Elsen, Ingo A1 - Schiffer, Stefan T1 - Machine learning based 3D object detection for navigation in unstructured environments T2 - 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops) N2 - In this paper we investigate the use of deep neural networks for 3D object detection in uncommon, unstructured environments such as in an open-pit mine. While neural nets are frequently used for object detection in regular autonomous driving applications, more unusual driving scenarios aside street traffic pose additional challenges. For one, the collection of appropriate data sets to train the networks is an issue. For another, testing the performance of trained networks often requires tailored integration with the particular domain as well. While there exist different solutions for these problems in regular autonomous driving, there are only very few approaches that work for special domains just as well. We address both the challenges above in this work. First, we discuss two possible ways of acquiring data for training and evaluation. That is, we evaluate a semi-automated annotation of recorded LIDAR data and we examine synthetic data generation. Using these datasets we train and test different deep neural network for the task of object detection. Second, we propose a possible integration of a ROS2 detector module for an autonomous driving platform. Finally, we present the performance of three state-of-the-art deep neural networks in the domain of 3D object detection on a synthetic dataset and a smaller one containing a characteristic object from an open-pit mine. KW - 3D object detection KW - LiDAR KW - autonomous driving KW - Deep learning KW - Three-dimensional displays Y1 - 2021 SN - 978-1-6654-7921-9 U6 - http://dx.doi.org/10.1109/IVWorkshops54471.2021.9669218 N1 - 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), 11-17 July 2021, Nagoya, Japan. SP - 236 EP - 242 PB - IEEE ER - TY - CHAP A1 - Leise, Philipp A1 - Altherr, Lena T1 - Experimental evaluation of resilience metrics in a fluid system T2 - Mastering Uncertainty in Mechanical Engineering Y1 - 2021 SN - 978-3-030-78356-3 N1 - Unterkapitel des Kapitels "Strategies for Mastering Uncertainty" SP - 442 EP - 447 PB - Springer CY - Cham ER -