@inbook{4312, abstract = {{Computer-aided assistance systems are entering the world of work and production. Such systems utilize augmented- and virtual-reality for operator training and live guidance as well as mobile maintenance and support. This is particularly important in the modern production reality of ever-changing products and `lot size one' customization of production.This paper focuses on the application of machine learning approach to extend the functionality of assistance systems. Machine learning provides tools to analyse large amounts of data and extract meaningful information. The goal here is to recognize the movement of an operator which would enable automatic display of instructions relevant to them.We present the challenges facing machine learning applications in human-centered assistance systems and a framework to assess machine learning approaches feasible for this scenario. The approach is assessed on a historical data set and then deployed in a work station for live testing. The post-hoc, or historical, analysis yields promising results. The ad-hoc, or live, analysis is a complex task and the results are affected by multiple factors, most of which are introduced by the human influence.The contribution of this paper is an approach to adapt state- of-the-art machine learning to operator movement recognition with a special focus on approaches to spatial time series data pre-processing. Presented experiment results validate the approach and show that it performs well in a real-world scenario.}}, author = {{Fullen, Marta and Maier, Alexander and Nazarenko, Arthur and Jenderny, Sascha and Röcker, Carsten}}, booktitle = {{2019 IEEE 17th International Conference on Industrial Informatics (INDIN)}}, isbn = {{978-1-7281-2927-3}}, issn = {{2378-363X}}, keywords = {{augmented reality, computer based training, data handling, industrial training, learning (artificial intelligence), time series}}, location = {{Helsinki, Finland,}}, pages = {{296 -- 302}}, publisher = {{IEEE}}, title = {{{Machine Learning for Assistance Systems: Pattern-Based Approach to Online Step Recognition}}}, doi = {{10.1109/INDIN41052.2019.8972122}}, year = {{2019}}, } @inbook{9752, abstract = {{Kommunikation gilt als Schlüssel, sich der Wahrnehmung von Landschaften zu nähern. In der räumlichen Planung wird Beteiligung, als Mittel angesehen, um mögliche Konflikte frühzeitig zu erkennen, zu lösen oder vorzubeugen. Online-Partizipation bietet in Bezug auf das Thema Landschaft besondere Chancen und Grenzen. Dementsprechend empfiehlt sich auch bei landschaftlichen Themen ein Methoden- und Medienmix, der abgestimmt ist auf den vorhandenen Kontext, das Ziel der Beteiligung und die Planungsphase.}}, author = {{Bernstein, Franziska and Kaußen, Lucas and Stemmer, Boris}}, booktitle = {{Handbuch Landschaft}}, editor = {{Kühne, Olaf and Weber, Florian and Berr, Karsten and Jenal, Corinna}}, isbn = {{978-3-658-25745-3}}, keywords = {{Landschaft, Kommunikation, Online-Partizipation, Web 2.0, Landschaftsplanung}}, pages = {{547–558}}, publisher = {{Springer Fachmedien Wiesbaden}}, title = {{{Online-Partizipation und Landschaft}}}, doi = {{https://doi.org/10.1007/978-3-658-25746-0_43}}, year = {{2019}}, } @inbook{9782, abstract = {{In einer empirischen Studie sollte der Zusammenhang zwischen der Ortsidentität bzw. heimatlichen Bindung und des wahrgenommenen Erholungswerts untersucht werden. Hierfür wurden Ansätze des Ortsbindungsmodells von Scannell und Gifford (Journal of Environmental Psychology, 30(1), 1–10, 2010a) sowie für der Erholungswert die Attention Restoration Theory von Kaplan und Kaplan (The experience of nature. A psychological perspective. Cambridge: Cambridge University Press) operationalisiert. Mit einem auf Fotos und Visualisierungen aus dem Forschungsvorhaben „Szenarien für den Ausbau der Erneuerbaren Energien aus Naturschutzsicht“, das durch das BfN aus Mitteln des BMUB gefördert wird, aufgebauten Onlinefragebogen wurden 452 Personen erreicht. Es zeigte sich ein starker Zusammenhang zwischen heimatlicher Bindung und Erholungswert über alle dargestellten Landschaften. Der durchgehend negative Effekt von Windenergieanlagen auf Erholungswert und der Bindung an die Heimat fiel je nach Landschaft jedoch sehr unterschiedlich aus. Insbesondere Hinweise auf einen Zusammenhang zwischen tatsächlichem Wohnort und der Wahrnehmung der Veränderungen werfen weitere Fragen auf.}}, author = {{Böse, Holger and Stemmer, Boris and Moczek, Nicola and Hofmann, Mathias}}, booktitle = {{Heimat : ein vielfältiges Konstrukt}}, editor = {{Hülz, Martina and Kühne, Olaf and Weber, Florian}}, isbn = {{978-3-658-24160-5}}, keywords = {{Landschaftswahrnehmung, Windenergie, Energiewende, Empirische Sozialforschung, Online-Befragung, Landschaftsplanung}}, pages = {{179--202}}, publisher = {{Springer VS}}, title = {{{Die Bedeutung der Ortsidentität für die Landschaftswahrnehmung am Beispiel von Windenergieanlagen}}}, doi = {{doi.org/10.1007/978-3-658-24161-2_10}}, year = {{2019}}, } @inproceedings{4327, abstract = {{In ever changing world, the industrial systems become more and more complex. Machine feedback in the form of alarms and notifications, due to its growing volume, becomes overwhelming for the operator. In addition, expectations in relation to system availability are growing as well. Therefore, there exists strong need for new solutions guaranteeing fast troubleshooting of problems that arise during system operation. The approach proposed in this study uses advantages of the Asset Administration Shell, machine learning, and human-machine interaction in order to create the assistance system which holistically addresses the issue of troubleshooting complex industrial systems.}}, author = {{Lang, Dorota and Wunderlich, Paul and Heinz, Mario and Wisniewski, Lukasz and Jasperneite, Jürgen and Niggemann, Oliver and Röcker, Carsten}}, booktitle = {{14th IEEE International Workshop on Factory Communication Systems (WFCS)}}, keywords = {{Maintenance engineering, Adaptation models, Machine learning, Data models, Standards, Software, Bayes methods}}, location = {{Imperia, Italy }}, publisher = {{IEEE}}, title = {{{Assistance System to Support Troubleshooting of Complex Industrial Systems}}}, doi = {{10.1109/WFCS.2018.8402380}}, year = {{2018}}, } @misc{9650, abstract = {{In Germany, there is much academic discourse on and scientific inquiry into pedagogical issues of science teaching and learning at the school level. Concepts like ‘Bildung’ (inquiry-based self-formation) or ‘Didaktik’ (instruction-based reflections on teaching) are almost directly associated with institutions or actors rooted in pedagogical departments. Unfortunately, those departments rarely focus on issues of science teaching and learning at the University level – and if they do so, they most often try to apply conceptions and models borrowed from upper or post-secondary education. The few research-based institutions that address specific issues of higher education are commonly fitted out so that they are nowhere near the impacts of research institutions covering teaching methodology in primary or secondary education, for example. Yet from an international perspective, the university as an institution does hold a great potential to improve educational practice in a systematic, cross-disciplinary and research-based way. Around the globe, more and more institutions rely on the notion of scholarship in this context: ‘The improvement of learning and teaching is dependent upon the development of scholarship and research in teaching’ (Prosser & Trigwell, 1999, p. 8). If incorporated at the heart of tertiary education, scholarship could contribute to develop new faculty in the German higher-educational sector. }}, author = {{Schmohl, Tobias}}, booktitle = {{ International Conference New Perspectives in Science Education }}, keywords = {{Scholarship of Teaching and Learning, Scholarship of Academic Development, Higher Education, community building}}, location = {{Florence, Italy}}, publisher = {{libreriauniversitaria.it edizioni}}, title = {{{Towards a New Scholarship of German Science Education}}}, year = {{2018}}, } @misc{7592, author = {{Schmohl, Tobias}}, booktitle = {{The Future of Education}}, isbn = {{ ‎ 978-8862928687}}, keywords = {{Scholarship of Academic Development, Scholarship of Teaching and Learning}}, location = {{Florenz}}, pages = {{317--321}}, publisher = {{Libreriauniversitaria.it}}, title = {{{The research—education nexus: Basic premises and practical application of the "Scholarship" movement}}}, volume = {{7}}, year = {{2017}}, } @inproceedings{4254, abstract = {{The current trend of integrating machines and factories into cyber-physical systems (CPS) creates an enormous complexity for operators of such systems. Especially the search for the root cause of cascading failures becomes highly time-consuming. Within this paper, we address the question on how to help human users to better and faster understand root causes of such situations. We propose a concept of interactive alarm flood reduction and present the implementation of a first vertical prototype for such a system. We consider this prototype as a first artifact to be discussed by the research community and aim towards an incremental further development of the system in order to support humans in complex error situations.}}, author = {{Büttner, Sebastian and Wunderlich, Paul and Heinz, Mario and Niggemann, Oliver and Röcker, Carsten}}, booktitle = {{ Machine Learning and Knowledge Extraction : First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings}}, editor = {{Holzinger, Andreas}}, isbn = {{978-3-319-66807-9}}, keywords = {{Alarm flood reduction, Machine learning, Assistive system}}, location = {{Reggio, Italy}}, pages = {{69--82}}, publisher = {{Springer}}, title = {{{Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction}}}, volume = {{10410}}, year = {{2017}}, } @misc{811, author = {{Böhl, Freda}}, keywords = {{E-Learning, eLearning}}, pages = {{60}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{eLearning in der Hochschullehre: Entwicklung eines Leitfadens für den Studiengang Medienproduktion}}}, year = {{2017}}, } @inbook{4298, abstract = {{In this paper, we present the current state-of-the-art of decision making (DM) and machine learning (ML) and bridge the two research domains to create an integrated approach of complex problem solving based on human and computational agents. We present a novel classification of ML, emphasizing the human-in-the-loop in interactive ML (iML) and more specific on collaborative interactive ML (ciML), which we understand as a deep integrated version of iML, where humans and algorithms work hand in hand to solve complex problems. Both humans and computers have specific strengths and weaknesses and integrating humans into machine learning processes might be a very efficient way for tackling problems. This approach bears immense research potential for various domains, e.g., in health informatics or in industrial applications. We outline open questions and name future challenges that have to be addressed by the research community to enable the use of collaborative interactive machine learning for problem solving in a large scale.}}, author = {{Robert, Sebastian and Büttner, Sebastian and Röcker, Carsten and Holzinger, Andreas}}, booktitle = {{Machine Learning for Health Informatics : State-of-the-Art and Future Challenges }}, editor = {{Holzinger, Andreas}}, isbn = {{978-3-319-50477-3 }}, keywords = {{Decision making, Reasoning, Interactive machine learning, Collaborative interactive machine learning}}, pages = {{357--376}}, publisher = {{Springer}}, title = {{{Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning}}}, doi = {{10.1007/978-3-319-50478-0_18}}, volume = {{9605}}, year = {{2016}}, } @book{946, abstract = {{Die Studierenden des Bachelorstudiengangs Medienproduktion an der Hochschule Ostwestfalen-Lippe haben sich im Wintersemester 2015/16 gezielt mit der mobilen Berichterstattung im Hörfunk, dem Bereich WebDoku oder auch dem Phänomen des Printmagazins Landlust beschäftigt. Dabei haben Sie im Semesterverlauf neben Fachvorträgen und selbst entwickelten Workshops erste eigene wissenschaftliche Artikel verfasst, von denen eine Auswahl Eingang in diesen Seminarband gefunden hat. Sie spiegeln sowohl unterschiedliche Erfahrungen der Studierenden als auch unterschiedliche Herangehensweisen an die bearbeiteten Themen wider. Gleichzeitig sind sie eine Momentaufnahme in Zeiten der ständig voranschreitenden Medienkonvergenz. }}, author = {{Führer, Melina and Nehrkorn, Katharina Zoe and Rutkowski, Lutz and Wistinghausen, Carolin and Werner, Lena and Urfels, Ole Vincent and Werthschulte, Carolin}}, editor = {{Lechtenberg, Frank}}, isbn = {{978-3-7418-6027-0 }}, keywords = {{Landlust, Journalismus, Journalisten, Reportage, Bildmanipulation, Online, Fernsehreportage, Krisenberichterstattung}}, pages = {{212}}, publisher = {{epubli, Selbstverlag des Vereins Medienwerk e.V.}}, title = {{{Perspektiven im Journalismus Ein Seminarband des Kurses Journalismus 2 im Sommersemester 2015 an der Hochschule Ostwestfalen-Lippe}}}, year = {{2016}}, } @misc{957, author = {{Krips, Nadine}}, keywords = {{Marketingstrategie, Online-Marketing, Virtuelle Realität}}, pages = {{36}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Vergleich von Virtual Reality mit ähnlicher Unterhaltungselektronik anhand der Analyse dazugehöriger Marketingstrategien : Untersuchung auf Ähnlichkeiten und Gründe gegebener Misserfolge}}}, year = {{2016}}, } @inproceedings{2167, abstract = {{Cyber-Physical Production Systems (CPPSs) are in the focus of research, industry and politics: By applying new IT and new computer science solutions, production systems will become more adaptable, more resource ef- ficient and more user friendly. The analysis and diagnosis of such systems is a major part of this trend: Plants should detect automatically wear, faults and suboptimal configurations. This paper reflects the current state-of- the-art in diagnosis against the requirements of CPPSs, identifies three main gaps and gives application scenarios to outline first ideas for potential solutions to close these gaps. }}, author = {{Niggemann, Oliver and Lohweg, Volker}}, booktitle = {{Twenty-Ninth Conference on Artificial Intelligence (AAAI-15)}}, keywords = {{Cyber-Physical Systems, Machine Learning, Diagnosis, Anomaly Detection}}, title = {{{On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda}}}, year = {{2015}}, } @book{4336, abstract = {{Prolonged life expectancy along with the increasing complexity of medicine and health services raises health costs worldwide dramatically. Whilst the smart health concept has much potential to support the concept of the emerging P4-medicine (preventive, participatory, predictive, and personalized), such high-tech medicine produces large amounts of high-dimensional, weakly-structured data sets and massive amounts of unstructured information. All these technological approaches along with “big data” are turning the medical sciences into a data-intensive science. To keep pace with the growing amounts of complex data, smart hospital approaches are a commandment of the future, necessitating context aware computing along with advanced interaction paradigms in new physical-digital ecosystems. The very successful synergistic combination of methodologies and approaches from Human-Computer Interaction (HCI) and Knowledge Discovery and Data Mining (KDD) offers ideal conditions for the vision to support human intelligence with machine learning. The papers selected for this volume focus on hot topics in smart health; they discuss open problems and future challenges in order to provide a research agenda to stimulate further research and progress.}}, editor = {{Holzinger, Andreas and Röcker, Carsten and Ziefle, Martina}}, isbn = {{978-3-319-16225-6}}, issn = {{1611-3349}}, keywords = {{HCI, ambient assisted living, big data, computational intelligence, context awareness, data centric medicine, decision support, interactive data mining, keyword detection, knoweldge bases, knoweldge discovery, machine learning, medical decision support, medical informatics, natural language processing, pervasive health, smart home, ubiquitous computing, visualization, wearable sensors}}, pages = {{275}}, publisher = {{Springer}}, title = {{{Smart Health: Open Problems and Future Challenges}}}, doi = {{10.1007/978-3-319-16226-3}}, volume = {{8700}}, year = {{2015}}, } @misc{1047, author = {{Krug, Konstantin}}, keywords = {{Online-Shop, Web Site}}, pages = {{41}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Ladychoise : Fitness-Shop f\"ur Frauen - Vitamine und Sportnahrung}}}, year = {{2012}}, } @misc{1218, abstract = {{Virale Werbung für das GOP, in erster Linie für das Internet. Es durfte gern etwas gewagter und unkonventionell sein.}}, author = {{Junker, Dominik}}, keywords = {{Marketing, Online-Marketing, Varieté, Viral Marketing}}, pages = {{93}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Stoppt die Show : Regie und Konzeption einer viralen Marketingkampagne}}}, year = {{2011}}, } @misc{9856, abstract = {{According to the Bologna Accord in 2006 the study courses for architecture, urban planning and landscape planning at Kassel university were reformed to a bachelor and master education programme. New courses – so called “modules” were found. One of them “Wahrnehmung und Analyse von Räumen” – “landscape perception and analysis” – is an interdisciplinary course teaching and comparing three different perspectives – those of ecology, social science and landscape planning – on landscape. To manage a high number of students the e-learning platform “Moodle” is used. Also giving an introduction into GIS is a major part of the course. This article – after “landscape perception and analysis” started four years ago – gives an overview of the recent and future development of the course from a teachers perspective.}}, author = {{Leiner, Claas and Stemmer, Boris}}, booktitle = {{gis.Science}}, issn = {{2698-4571}}, keywords = {{Universitarian teaching, GIS, e-learning, bologna process}}, number = {{4}}, pages = {{105–110}}, publisher = {{Wichmann}}, title = {{{Teaching Landscape Planning - Landscape Perception and Analysis}}}, year = {{2011}}, } @inproceedings{2087, abstract = {{It is likely in real-world applications that only little data isavailable for training a knowledge-based system. We present a method forautomatically training the knowledge-representing membership functionsof a Fuzzy-Pattern-Classification system that works also when only littledata is available and the universal set is described insufficiently. Actually,this paper presents how the Modified-Fuzzy-Pattern-Classifier’s member-ship functions are trained using probability distribution functions.}}, author = {{Mönks, Uwe and Lohweg, Volker and Petker, Denis}}, booktitle = {{IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems}}, keywords = {{Fuzzy Logic, Probability Theory, Fuzzy-Pattern-Classification, Machine Learning, Artificial Intelligence, Pattern Recognition}}, publisher = {{28 Jun 2010 - 02 July 2010, Dortmund, Germany}}, title = {{{Fuzzy-Pattern-Classifier Training with Small Data Sets}}}, year = {{2010}}, }