270.
Schlosser, Max; Walther, Michael; Manthey, Robert; Vogel, Richard; Baumgart, Matthias; Roschke, Christian; Ritter, Marc; Vodel, Matthias
Unifying the Data Highway: A Harmonized Telemetry Format for Driver Analytics Proceedings Article
In: 2024.
@inproceedings{schlosser_unifying_2024,
title = {Unifying the Data Highway: A Harmonized Telemetry Format for Driver Analytics},
author = {Max Schlosser and Michael Walther and Robert Manthey and Richard Vogel and Matthias Baumgart and Christian Roschke and Marc Ritter and Matthias Vodel},
doi = {10.1109/iceccme62383.2024.10796414},
year = {2024},
date = {2024-01-01},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
269.
Vogel, Richard; Schlosser, Tobias; Manthey, Robert; Ritter, Marc; Vodel, Matthias; Eibl, Maximilian; Schneider, Kristan
A Meta Algorithm for Interpretable Ensemble Learning: The League of Experts Artikel
In: Machine Learning and Knowledge Extraction, 2024.
@article{vogel_meta_2024,
title = {A Meta Algorithm for Interpretable Ensemble Learning: The League of Experts},
author = {Richard Vogel and Tobias Schlosser and Robert Manthey and Marc Ritter and Matthias Vodel and Maximilian Eibl and Kristan Schneider},
doi = {10.3390/make6020038},
year = {2024},
date = {2024-01-01},
journal = {Machine Learning and Knowledge Extraction},
abstract = {<jats:p>Background. The importance of explainable artificial intelligence and machine learning (XAI/XML) is increasingly being recognized, aiming to understand how information contributes to decisions, the method’s bias, or sensitivity to data pathologies. Efforts are often directed to post hoc explanations of black box models. These approaches add additional sources for errors without resolving their shortcomings. Less effort is directed into the design of intrinsically interpretable approaches. Methods. We introduce an intrinsically interpretable methodology motivated by ensemble learning: the League of Experts (LoE) model. We establish the theoretical framework first and then deduce a modular meta algorithm. In our description, we focus primarily on classification problems. However, LoE applies equally to regression problems. Specific to classification problems, we employ classical decision trees as classifier ensembles as a particular instance. This choice facilitates the derivation of human-understandable decision rules for the underlying classification problem, which results in a derived rule learning system denoted as RuleLoE. Results. In addition to 12 KEEL classification datasets, we employ two standard datasets from particularly relevant domains—medicine and finance—to illustrate the LoE algorithm. The performance of LoE with respect to its accuracy and rule coverage is comparable to common state-of-the-art classification methods. Moreover, LoE delivers a clearly understandable set of decision rules with adjustable complexity, describing the classification problem. Conclusions. LoE is a reliable method for classification and regression problems with an accuracy that seems to be appropriate for situations in which underlying causalities are in the center of interest rather than just accurate predictions or classifications.</jats:p>},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
<jats:p>Background. The importance of explainable artificial intelligence and machine learning (XAI/XML) is increasingly being recognized, aiming to understand how information contributes to decisions, the method’s bias, or sensitivity to data pathologies. Efforts are often directed to post hoc explanations of black box models. These approaches add additional sources for errors without resolving their shortcomings. Less effort is directed into the design of intrinsically interpretable approaches. Methods. We introduce an intrinsically interpretable methodology motivated by ensemble learning: the League of Experts (LoE) model. We establish the theoretical framework first and then deduce a modular meta algorithm. In our description, we focus primarily on classification problems. However, LoE applies equally to regression problems. Specific to classification problems, we employ classical decision trees as classifier ensembles as a particular instance. This choice facilitates the derivation of human-understandable decision rules for the underlying classification problem, which results in a derived rule learning system denoted as RuleLoE. Results. In addition to 12 KEEL classification datasets, we employ two standard datasets from particularly relevant domains—medicine and finance—to illustrate the LoE algorithm. The performance of LoE with respect to its accuracy and rule coverage is comparable to common state-of-the-art classification methods. Moreover, LoE delivers a clearly understandable set of decision rules with adjustable complexity, describing the classification problem. Conclusions. LoE is a reliable method for classification and regression problems with an accuracy that seems to be appropriate for situations in which underlying causalities are in the center of interest rather than just accurate predictions or classifications.</jats:p>
268.
Vogel, Richard; Manthey, Robert; Baumgart, Matthias; Roschke, Christian; Ritter, Marc; Vodel, Matthias
Tamperproof Data Transmission to Offline IoT Devices in a Zero-Trust Environment Proceedings Article
In: 2024.
@inproceedings{vogel_tamperproof_2024,
title = {Tamperproof Data Transmission to Offline IoT Devices in a Zero-Trust Environment},
author = {Richard Vogel and Robert Manthey and Matthias Baumgart and Christian Roschke and Marc Ritter and Matthias Vodel},
doi = {10.1109/icnc59896.2024.10555945},
year = {2024},
date = {2024-01-01},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
267.
Manthey, Robert; Vogel, Richard; Vodel, Matthias
Decentralized Offline Smart Lock - Chainlock Proceedings Article
In: 3rd Blockchain and Cryptocurrency Conference, 2024.
@inproceedings{manthey_decentralized_2024,
title = {Decentralized Offline Smart Lock - Chainlock},
author = {Robert Manthey and Richard Vogel and Matthias Vodel},
year = {2024},
date = {2024-01-01},
booktitle = {3rd Blockchain and Cryptocurrency Conference},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
266.
Lampe, Alexander; Ritter, Marc; Hentschel, Nicolas; Kaminsky, Theo; Vodel, Matthias; Sieber, Adrian; Marasas, Michelle; Beier-Grunwald, Rico; Roschke, Christian; Heinze, Isabel
Raspberry Pi Controller for Remote Laboratory Hardware Access Proceedings Article
In: The Sixteenth International Conference on Mobile, Hybrid, and On-line Learning - eLmL 2024, 2024.
@inproceedings{lampe_raspberry_2024,
title = {Raspberry Pi Controller for Remote Laboratory Hardware Access},
author = {Alexander Lampe and Marc Ritter and Nicolas Hentschel and Theo Kaminsky and Matthias Vodel and Adrian Sieber and Michelle Marasas and Rico Beier-Grunwald and Christian Roschke and Isabel Heinze},
year = {2024},
date = {2024-01-01},
booktitle = {The Sixteenth International Conference on Mobile, Hybrid, and On-line Learning - eLmL 2024},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
265.
Manthey, Robert; Vogel, Richard; Vodel, Matthias
Offlinefähige Schließanlagen auf Blockchain-Basis Proceedings Article
In: Konferenzband zum Scientific Trackder Blockchain Autumn School 2024, 2024.
@inproceedings{manthey_offlinefahige_2024,
title = {Offlinefähige Schließanlagen auf Blockchain-Basis},
author = {Robert Manthey and Richard Vogel and Matthias Vodel},
year = {2024},
date = {2024-01-01},
booktitle = {Konferenzband zum Scientific Trackder Blockchain Autumn School 2024},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
264.
Baumgart, Matthias
Exploration maschineller Verfahren zur Entwicklung eines methodischen Frameworks zur Evaluierung wissenschaftlicher Texte im Forschungsmanagement Promotionsarbeit
2024.
@phdthesis{baumgartExplorationMaschinellerVerfahren2024,
title = {Exploration maschineller Verfahren zur Entwicklung eines methodischen Frameworks zur Evaluierung wissenschaftlicher Texte im Forschungsmanagement},
author = {Matthias Baumgart},
url = {doi.org/10.51382/978-3-96100-203-0},
year = {2024},
date = {2024-01-01},
abstract = {Die Komplexität des Forschungsmanagements an Universitäten und Hochschulen für Angewandte Wissenschaften hat in den letzten Jahren zugenommen, sowohl auf Seiten der Wissenschaftler als auch auf administrativer Ebene. Insbesondere die Texterstellung und -verarbeitung für Forschungsanträge, Publikationen und andere wissenschaftliche Dokumente erfordern erheblichen Aufwand. Gleichzeitig existieren Methoden und Technologien in den Bereichen Information Retrieval, Maschinelles Lernen und Semantischer Technologien, die für die Analyse und Bewertung dieser Texte geeignet sind. Diese Arbeit zielt darauf ab, Aufwände im Lebenszyklus von öffentlich geförderten Forschungsprojekten zu optimieren. Sie identifiziert aktuelle Entwicklungen und Technologien, um Kriterien für eine Gesamtarchitektur abzuleiten, die wissenschaftliche Texte qualitativ annotiert, trainiert und evaluiert. Das resultierende Framework namens FELIX dient als prototypisches System für die computergestützte Assistenz zur Evaluation wissenschaftlicher Texte. Datenkorpora aus Forschungsanträgen und Publikationen wurden für explorative Experimente verwendet, die u. a. auf Methoden des Maschinellen Lernens basieren. FELIX ermöglicht die Analyse von Texten und Metadaten, die Klassifizierung nach definierten Kriterien und die Vorhersage der Bewilligung von Forschungsanträgen. Die Konzeption und Evaluierung von FELIX führte zu wissenschaftlichen und praktischen Implikationen zur Optimierung des Forschungsmanagements.},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
Die Komplexität des Forschungsmanagements an Universitäten und Hochschulen für Angewandte Wissenschaften hat in den letzten Jahren zugenommen, sowohl auf Seiten der Wissenschaftler als auch auf administrativer Ebene. Insbesondere die Texterstellung und -verarbeitung für Forschungsanträge, Publikationen und andere wissenschaftliche Dokumente erfordern erheblichen Aufwand. Gleichzeitig existieren Methoden und Technologien in den Bereichen Information Retrieval, Maschinelles Lernen und Semantischer Technologien, die für die Analyse und Bewertung dieser Texte geeignet sind. Diese Arbeit zielt darauf ab, Aufwände im Lebenszyklus von öffentlich geförderten Forschungsprojekten zu optimieren. Sie identifiziert aktuelle Entwicklungen und Technologien, um Kriterien für eine Gesamtarchitektur abzuleiten, die wissenschaftliche Texte qualitativ annotiert, trainiert und evaluiert. Das resultierende Framework namens FELIX dient als prototypisches System für die computergestützte Assistenz zur Evaluation wissenschaftlicher Texte. Datenkorpora aus Forschungsanträgen und Publikationen wurden für explorative Experimente verwendet, die u. a. auf Methoden des Maschinellen Lernens basieren. FELIX ermöglicht die Analyse von Texten und Metadaten, die Klassifizierung nach definierten Kriterien und die Vorhersage der Bewilligung von Forschungsanträgen. Die Konzeption und Evaluierung von FELIX führte zu wissenschaftlichen und praktischen Implikationen zur Optimierung des Forschungsmanagements.
263.
Bätz, Johannes; Weinhold, Emilia; Prause, Martin; Breck, Dominik; Knauer, Alexander; Baumgart, Matthias; Ritter, Marc; Roschke, Christian
DEVELOPMENT OF A WEB-BASED APPLICATION FOR PROCESSING OF STUDENT-BASED PEER REVIEWS OF MULTIMEDIA DATA Proceedings Article
In: UNDERSTANDING AND DEVELOPING DIGITAL TEACHING-LEARNING SCENARIOS AT UNIVERSITIES AS VALUE PROPOSITIONS, 2024.
@inproceedings{batzDEVELOPMENTWEBBASEDAPPLICATION2024,
title = {DEVELOPMENT OF A WEB-BASED APPLICATION FOR PROCESSING OF STUDENT-BASED PEER REVIEWS OF MULTIMEDIA DATA},
author = {Johannes Bätz and Emilia Weinhold and Martin Prause and Dominik Breck and Alexander Knauer and Matthias Baumgart and Marc Ritter and Christian Roschke},
doi = {10.21125/iceri.2024.1152},
year = {2024},
date = {2024-01-01},
booktitle = {UNDERSTANDING AND DEVELOPING DIGITAL TEACHING-LEARNING SCENARIOS AT UNIVERSITIES AS VALUE PROPOSITIONS},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
262.
Platte, Benny; Kowerko, Danny; Langner, Holger; Skuras, Jan Anastassis; Ritter, Marc; Roschke, Christian
“Synthetic-Seed-Saturation“ Concept: Overcome Nonresponse-Bias in Retrospective Medical Studies Proceedings Article
In: 2024.
@inproceedings{platteSyntheticSeedSaturationConceptOvercome2024,
title = {“Synthetic-Seed-Saturation“ Concept: Overcome Nonresponse-Bias in Retrospective Medical Studies},
author = {Benny Platte and Danny Kowerko and Holger Langner and Jan Anastassis Skuras and Marc Ritter and Christian Roschke},
doi = {10.1109/ichi61247.2024.00122},
year = {2024},
date = {2024-01-01},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
261.
260.
Thomanek, Rico; Platte, Benny; Baumgart, Matthias; Roschke, Christian; Ritter, Marc
AI-powered real-time analysis of human activity in videos via smartphone. Proceedings Article
In: Cognitive Computing and Internet of Things. AHFE (2023), 2023.
@inproceedings{thomanekAIpoweredRealtimeAnalysis2023,
title = {AI-powered real-time analysis of human activity in videos via smartphone.},
author = {Rico Thomanek and Benny Platte and Matthias Baumgart and Christian Roschke and Marc Ritter},
doi = {10.54941/ahfe1003972},
year = {2023},
date = {2023-01-01},
booktitle = {Cognitive Computing and Internet of Things. AHFE (2023)},
abstract = {<jats:p>A major focus in computer vision research is the recognition of human activity based on visual information from audiovisual data using artificial intelligence. In this context, researchers are currently exploring image-based approaches using 3D CNNs, RNNs, or hybrid models with the intent of learning multiple levels of representation and abstraction that enable fully automated feature extraction and activity analysis based on them. Unfortunately, these architectures require powerful hardware to achieve the most real-time processing possible, making them difficult to deploy on smartphones. However, many video recordings are increasingly made with smartphones, so immediate classification of performed human activities and their tagging already during video recording would be useful for a variety of use cases. Especially in the mobile environment, a wide variety of use cases are therefore conceivable, such as the detection of correct motion sequences in the sports and health sector or the monitoring and automated alerting of security-relevant environments (e.g., demonstrations, festivals). However, this requires an efficient system architecture to perform real-time analysis despite limited hardware power. This paper addresses the approach of skeleton-based activity recognition on smartphones, where motion vectors of detected skeleton points are analyzed for their spatial and temporal expression rather than pixel-based information. In this process, the 3D-bone points of a recognized person are extracted using the AR framework integrated in the operating system and their motion data is analyzed in real time using a self-trained RNN. This purely numerical approach enables time-efficient real-time processing and activity classification. This system makes it possible to recognize a person in a live video stream recorded with a smartphone and classify the activity performed. By successfully deploying the system in several field tests, it can be shown both that the described approach works in principle and that it can be transferred to a resource-constrained mobile environment.</jats:p>},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
<jats:p>A major focus in computer vision research is the recognition of human activity based on visual information from audiovisual data using artificial intelligence. In this context, researchers are currently exploring image-based approaches using 3D CNNs, RNNs, or hybrid models with the intent of learning multiple levels of representation and abstraction that enable fully automated feature extraction and activity analysis based on them. Unfortunately, these architectures require powerful hardware to achieve the most real-time processing possible, making them difficult to deploy on smartphones. However, many video recordings are increasingly made with smartphones, so immediate classification of performed human activities and their tagging already during video recording would be useful for a variety of use cases. Especially in the mobile environment, a wide variety of use cases are therefore conceivable, such as the detection of correct motion sequences in the sports and health sector or the monitoring and automated alerting of security-relevant environments (e.g., demonstrations, festivals). However, this requires an efficient system architecture to perform real-time analysis despite limited hardware power. This paper addresses the approach of skeleton-based activity recognition on smartphones, where motion vectors of detected skeleton points are analyzed for their spatial and temporal expression rather than pixel-based information. In this process, the 3D-bone points of a recognized person are extracted using the AR framework integrated in the operating system and their motion data is analyzed in real time using a self-trained RNN. This purely numerical approach enables time-efficient real-time processing and activity classification. This system makes it possible to recognize a person in a live video stream recorded with a smartphone and classify the activity performed. By successfully deploying the system in several field tests, it can be shown both that the described approach works in principle and that it can be transferred to a resource-constrained mobile environment.</jats:p>
259.
Hösel, Claudia; Baumgart, Matthias; Platte, Benny; Roschke, Christian; Ritter, Marc
Exploratory Analysis of the News in Easy Language (NiEL) Corpus to Identify Characteristic Patterns for Natural Language Processing Proceedings Article
In: Communications in Computer and Information Science, 2023.
@inproceedings{hoselExploratoryAnalysisNews2023,
title = {Exploratory Analysis of the News in Easy Language (NiEL) Corpus to Identify Characteristic Patterns for Natural Language Processing},
author = {Claudia Hösel and Matthias Baumgart and Benny Platte and Christian Roschke and Marc Ritter},
doi = {10.1007/978-3-031-36004-6_57},
year = {2023},
date = {2023-01-01},
booktitle = {Communications in Computer and Information Science},
abstract = {While comprehensive corpora are available for resource-rich languages such as English in different domains, which can be made usable for natural language processing (NLP) applications, this is not the case for resource-poor languages. Parallel or monolingual corpora must first be created and adequately processed in order to make them usable for later NLP applications. In the past, selected variants of a standard language were increasingly identified as resource-poor languages and corresponding resources were created. The German Easy Language, as a highly simplified variant of the Standard German language, can be defined as a resource-poor language, since here, too, hardly any NLP-suitable corpora are available. In this paper, we present the News in Easy Language (NiEL) corpus, a monolingual text resource for German Easy Language. By means of exploratory analysis using selected NLP tools, characteristic patterns for Easy Language can be derived at both word and sentence level. The identified patterns of Easy Language can be compared in perspective with patterns from standard language texts. Our results show that multiple tools from the NLP domain are suitable for German Easy Language as well as for German Standard Language. Features like word variance, sentence depth but also average word and sentence length can be distinguished. The features extracted in this way are suitable for the development of models, whereby initial implications for the natural language processing of Easy Language can be derived. The results form an important basis for further research in the domain of Easy Language. As a low-resource language that has been primarily analyzed intellectually, another added value of our work also lies in the implications for natural processing of plain language derived from the exploratory analysis of the corpus.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
While comprehensive corpora are available for resource-rich languages such as English in different domains, which can be made usable for natural language processing (NLP) applications, this is not the case for resource-poor languages. Parallel or monolingual corpora must first be created and adequately processed in order to make them usable for later NLP applications. In the past, selected variants of a standard language were increasingly identified as resource-poor languages and corresponding resources were created. The German Easy Language, as a highly simplified variant of the Standard German language, can be defined as a resource-poor language, since here, too, hardly any NLP-suitable corpora are available. In this paper, we present the News in Easy Language (NiEL) corpus, a monolingual text resource for German Easy Language. By means of exploratory analysis using selected NLP tools, characteristic patterns for Easy Language can be derived at both word and sentence level. The identified patterns of Easy Language can be compared in perspective with patterns from standard language texts. Our results show that multiple tools from the NLP domain are suitable for German Easy Language as well as for German Standard Language. Features like word variance, sentence depth but also average word and sentence length can be distinguished. The features extracted in this way are suitable for the development of models, whereby initial implications for the natural language processing of Easy Language can be derived. The results form an important basis for further research in the domain of Easy Language. As a low-resource language that has been primarily analyzed intellectually, another added value of our work also lies in the implications for natural processing of plain language derived from the exploratory analysis of the corpus.
258.
Becher, Michelle; Friedrich, Anna; Welscher, Xavier; Clausnitzer, Serena; Hubert, Ronja; Laura, Leske; Beger, Paula; Rendtel, Catriona; Hoffmann, Benjamin; Heinzig, Manuel; Schmidt, Anke; Andrä, Kristina; Roschke, Christian; Ritter, Marc
Eine explorative Studie zur Gesundheitsbewertung und -tracking mit multimodaler Sensorik Proceedings Article
In: Tagungsband zur 23. Nachwuchswissenschaftler*innenkonferenz, 2023.
@inproceedings{becherExplorativeStudieZur2023,
title = {Eine explorative Studie zur Gesundheitsbewertung und -tracking mit multimodaler Sensorik},
author = {Michelle Becher and Anna Friedrich and Xavier Welscher and Serena Clausnitzer and Ronja Hubert and Leske Laura and Paula Beger and Catriona Rendtel and Benjamin Hoffmann and Manuel Heinzig and Anke Schmidt and Kristina Andrä and Christian Roschke and Marc Ritter},
year = {2023},
date = {2023-01-01},
booktitle = {Tagungsband zur 23. Nachwuchswissenschaftler*innenkonferenz},
abstract = {Besonders im Bereich E-Health trägt die technische Entwicklung zur schnelleren<br />Erkennung von Problemen bei und eröffnet neue digitale Therapiemöglichkeiten (Chen<br />& Yang, 2020). Im Rahmen des Lehrformats "Digital Skills and Products" (Ritter et al.,<br />2019) wurde ein entsprechendes Projekt an der Hochschule Mittweida über drei<br />Semester umgesetzt. Das Ziel bestand in der Entwicklung einer iOS-Applikation, die<br />Informationen zur Körperhaltung eines Menschen erfasst und zu Kontroll- und<br />Verbesserungszwecken verständlich visualisiert. Das entstandene Analyseframework<br />xPose extrahiert dazu Skelettdaten aus Bildern und fusioniert sie mit weiteren<br />Vitaldaten. Vor der eigentlichen Evaluation fand ein Vortest statt, um die Wirksamkeit<br />aller beteiligten Geräte zu überprüfen. Anschließend befasste sich eine erste Evaluation<br />mit der Einschätzung des User Interface mittels AttrakDiff. Eine zweite Evaluation diente<br />zur Prüfung der Genauigkeit der automatisch gemessenen Daten im Vergleich mit<br />manuellen Messungen. Die Ergebnisse zeigen, dass die zum Training eingesetzte<br />provibes-Schwingungsplattform tendenziell entspannend wirkt, eine Normalisierung<br />der Gelenkbeweglichkeit erfolgt und die professionell erhobenen Messwerte anteilig mit<br />den semi-automatisierten Messungen von Apples ARKit vergleichbar sind.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Besonders im Bereich E-Health trägt die technische Entwicklung zur schnelleren<br />Erkennung von Problemen bei und eröffnet neue digitale Therapiemöglichkeiten (Chen<br />& Yang, 2020). Im Rahmen des Lehrformats "Digital Skills and Products" (Ritter et al.,<br />2019) wurde ein entsprechendes Projekt an der Hochschule Mittweida über drei<br />Semester umgesetzt. Das Ziel bestand in der Entwicklung einer iOS-Applikation, die<br />Informationen zur Körperhaltung eines Menschen erfasst und zu Kontroll- und<br />Verbesserungszwecken verständlich visualisiert. Das entstandene Analyseframework<br />xPose extrahiert dazu Skelettdaten aus Bildern und fusioniert sie mit weiteren<br />Vitaldaten. Vor der eigentlichen Evaluation fand ein Vortest statt, um die Wirksamkeit<br />aller beteiligten Geräte zu überprüfen. Anschließend befasste sich eine erste Evaluation<br />mit der Einschätzung des User Interface mittels AttrakDiff. Eine zweite Evaluation diente<br />zur Prüfung der Genauigkeit der automatisch gemessenen Daten im Vergleich mit<br />manuellen Messungen. Die Ergebnisse zeigen, dass die zum Training eingesetzte<br />provibes-Schwingungsplattform tendenziell entspannend wirkt, eine Normalisierung<br />der Gelenkbeweglichkeit erfolgt und die professionell erhobenen Messwerte anteilig mit<br />den semi-automatisierten Messungen von Apples ARKit vergleichbar sind.
257.
Schlosser, Max; Urban, Mona; Tran, Duc; Nobre, Carolina Rocha; Kreißig, Peter; Labude, Susan; Breck, Dominik; Roschke, Christian; Ritter, Marc; Vodel, Matthias
Evaluation of a Learning Application Designed to Improve Motivation and Engagement of Students in Higher Education Proceedings Article
In: International Journal of Intelligent Computing Research, 2023.
@inproceedings{schlosserEvaluationLearningApplication2023,
title = {Evaluation of a Learning Application Designed to Improve Motivation and Engagement of Students in Higher Education},
author = {Max Schlosser and Mona Urban and Duc Tran and Carolina Rocha Nobre and Peter Kreißig and Susan Labude and Dominik Breck and Christian Roschke and Marc Ritter and Matthias Vodel},
doi = {10.20533/ijicr.2042.4655.2023.0145},
year = {2023},
date = {2023-01-01},
booktitle = {International Journal of Intelligent Computing Research},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
256.
Schneider, André; Baumgart, Matthias; Lindner, Caroline
CONSEQUENCES OF PSYCHOLOGICAL OWNERSHIP ON THE DEVELOPMENT OF OPEN EDUCATION RESOURCES (OER) Proceedings Article
In: INTED2023 Proceedings, 2023.
@inproceedings{schneider_consequences_2023,
title = {CONSEQUENCES OF PSYCHOLOGICAL OWNERSHIP ON THE DEVELOPMENT OF OPEN EDUCATION RESOURCES (OER)},
author = {André Schneider and Matthias Baumgart and Caroline Lindner},
doi = {10.21125/inted.2023.2175},
year = {2023},
date = {2023-01-01},
booktitle = {INTED2023 Proceedings},
abstract = {Open Educational Resources (OER) are considered a success factor for the realisation of high-quality, inclusive and equal opportunity education. OER are all kinds of teaching and learning materials that are made available under a free licence. The essence of these materials is that anyone can legally reproduce, use, modify and distribute them free of charge. However, despite extensive scholarly discussion and financial support, their embedding in educational systems has been far less successful than originally hoped (Karapanos et al., 2019; Jung et al., 2016).<br /><br />In the search for the reasons for this development, there are numerous research projects on barriers to the use of OER at universities from the perspective of teachers or students. However, there are hardly any studies on those factors that can promote or inhibit the development of OER. Since the creation of these learning materials is a form of knowledge transfer by teachers, the question arises as to which factors positively and negatively influence the intention to share knowledge or develop OER. Among the factors discussed in the literature are the attitude towards knowledge transfer, the subjective norm, the perceived behavioural control or the personal value characteristics (Schneider et al. 2018).<br /><br />Psychological ownership can play a significant role as a further factor influencing the intention to develop OER. Pierce, Kostova and Dirks (2001, p. 299) define psychological ownership as a state in which "[...] individuals feel as though the target of ownership (material or immaterial in nature) or a piece of it is "theirs" (i.e., "It is MINE"!)". However, OER does not necessarily enable teachers to build or maintain psychological ownership, but rather encourages its loss (Hamari et al. 2016). Such losses are often perceived as a threat or diminishment of the self.<br /><br />The aim of this paper is to discuss the consequences that can be expected from the perspective of the phenomenon of psychological ownership on the successful development of OER. In addition, the first results of an ongoing qualitative study are presented, where teachers are asked about the influence of psychological property on the development of free content for use in higher education teaching.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Open Educational Resources (OER) are considered a success factor for the realisation of high-quality, inclusive and equal opportunity education. OER are all kinds of teaching and learning materials that are made available under a free licence. The essence of these materials is that anyone can legally reproduce, use, modify and distribute them free of charge. However, despite extensive scholarly discussion and financial support, their embedding in educational systems has been far less successful than originally hoped (Karapanos et al., 2019; Jung et al., 2016).<br /><br />In the search for the reasons for this development, there are numerous research projects on barriers to the use of OER at universities from the perspective of teachers or students. However, there are hardly any studies on those factors that can promote or inhibit the development of OER. Since the creation of these learning materials is a form of knowledge transfer by teachers, the question arises as to which factors positively and negatively influence the intention to share knowledge or develop OER. Among the factors discussed in the literature are the attitude towards knowledge transfer, the subjective norm, the perceived behavioural control or the personal value characteristics (Schneider et al. 2018).<br /><br />Psychological ownership can play a significant role as a further factor influencing the intention to develop OER. Pierce, Kostova and Dirks (2001, p. 299) define psychological ownership as a state in which "[...] individuals feel as though the target of ownership (material or immaterial in nature) or a piece of it is "theirs" (i.e., "It is MINE"!)". However, OER does not necessarily enable teachers to build or maintain psychological ownership, but rather encourages its loss (Hamari et al. 2016). Such losses are often perceived as a threat or diminishment of the self.<br /><br />The aim of this paper is to discuss the consequences that can be expected from the perspective of the phenomenon of psychological ownership on the successful development of OER. In addition, the first results of an ongoing qualitative study are presented, where teachers are asked about the influence of psychological property on the development of free content for use in higher education teaching.
255.
Welk, Josefine
Stress or No Stress? This is the Question: Life-like Stress Detection in Different Domains using Different Hardware Solutions Proceedings Article
In: 2023.
@inproceedings{welkStressNoStress2023,
title = {Stress or No Stress? This is the Question: Life-like Stress Detection in Different Domains using Different Hardware Solutions},
author = {Josefine Welk},
year = {2023},
date = {2023-01-01},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
254.
Manthey, Robert; Kunz, Nico; Kühn, Alexander Thomas; Oertel, Wolfgang; Pahl, Benjamin; Ritter, Marc; Roschke, Christian; Schmidsberger, Falk; Teichert, Angelo; Vodel, Matthias
Entwicklung und Evaluation einer virtuellen Verkehrssimulation in Kombination mit einem Expertensystem Proceedings Article
In: 2023.
@inproceedings{mantheyEntwicklungUndEvaluation2023,
title = {Entwicklung und Evaluation einer virtuellen Verkehrssimulation in Kombination mit einem Expertensystem},
author = {Robert Manthey and Nico Kunz and Alexander Thomas Kühn and Wolfgang Oertel and Benjamin Pahl and Marc Ritter and Christian Roschke and Falk Schmidsberger and Angelo Teichert and Matthias Vodel},
year = {2023},
date = {2023-01-01},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
253.
Manthey, Robert; Vogel, Richard; Vodel, Matthias
Chainlock - Blockchain-gestützte, smarte Schließanlagen Proceedings Article
In: Konferenzband zum Scientific Track der Blockchain Autumn School 2023, 2023.
@inproceedings{mantheyChainlockBlockchaingestutzteSmarte2023,
title = {Chainlock - Blockchain-gestützte, smarte Schließanlagen},
author = {Robert Manthey and Richard Vogel and Matthias Vodel},
year = {2023},
date = {2023-01-01},
booktitle = {Konferenzband zum Scientific Track der Blockchain Autumn School 2023},
abstract = {Die Kontrolle von Zutrittsberechtigungen für Labore, Gebäude oder Standorte ist für viele Firmen und Einrichtungen von essenzieller Bedeutung, mit zunehmender Größe aber auch mit erheblichem Aufwand und größeren Kosten verbunden. Die Überprüfung und Aktualisierung der Berechtigungen erfordert außerdem eine umfangreiche Logistik und Vertrauen in die korrekte Arbeitsweise der zentralen Verwaltungseinrichtungen. Durch die hier vorgestellte Kombination von elektronischem Schließsystem mit dezentraler Blockchaintechnologie ist sowohl eine Vereinfachung und Dezentralisierung der Berechtigungsverwaltung als auch die Vermeidung singuläre Fehlerstellen möglich. Gleichzeitig kann ohne größere Aufwende auch eine Offlinefähigkeit der Schlösser realisiert werden.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Die Kontrolle von Zutrittsberechtigungen für Labore, Gebäude oder Standorte ist für viele Firmen und Einrichtungen von essenzieller Bedeutung, mit zunehmender Größe aber auch mit erheblichem Aufwand und größeren Kosten verbunden. Die Überprüfung und Aktualisierung der Berechtigungen erfordert außerdem eine umfangreiche Logistik und Vertrauen in die korrekte Arbeitsweise der zentralen Verwaltungseinrichtungen. Durch die hier vorgestellte Kombination von elektronischem Schließsystem mit dezentraler Blockchaintechnologie ist sowohl eine Vereinfachung und Dezentralisierung der Berechtigungsverwaltung als auch die Vermeidung singuläre Fehlerstellen möglich. Gleichzeitig kann ohne größere Aufwende auch eine Offlinefähigkeit der Schlösser realisiert werden.
252.
Weidner, Fanny; Bischoff, Laurenz; Bätz, Johannes; Schöppach, Robin; Belov, Gleb; Meineke, Gleb; Belov, Peter; Meineke, Peter; Kambach, Kevin; Mitsch, Jannick; Motuzov, Andreas; Mieth, Martin; Schulz, Andreas; Weidlich-Rau, Melissa; Roschke, Christian; Vodel, Matthias; Kühn, Alexander Thomas; Czauderna, Tobias; Müssig, Daniel; Heinzig, Manuel; Lässig, Jörg; Ritter, Marc
A VR Office Applying Modern Search and Filter Concepts for Knowledge Workers Proceedings Article
In: Lecture Notes in Computer Science, 2023.
@inproceedings{weidnerVROfficeApplying2023,
title = {A VR Office Applying Modern Search and Filter Concepts for Knowledge Workers},
author = {Fanny Weidner and Laurenz Bischoff and Johannes Bätz and Robin Schöppach and Gleb Belov and Gleb Meineke and Peter Belov and Peter Meineke and Kevin Kambach and Jannick Mitsch and Andreas Motuzov and Martin Mieth and Andreas Schulz and Melissa Weidlich-Rau and Christian Roschke and Matthias Vodel and Alexander Thomas Kühn and Tobias Czauderna and Daniel Müssig and Manuel Heinzig and Jörg Lässig and Marc Ritter},
doi = {10.1007/978-3-031-35634-6_8},
year = {2023},
date = {2023-01-01},
booktitle = {Lecture Notes in Computer Science},
abstract = {<p>Virtual, Augmented and Mixed Reality (VAMR) fields of applications are met with the demand for innovation within the field to build the bridge between the theory of its use and our daily life. However, much of the innovation stops at conceptualising the opportunities that virtual environments offer and instead drifts back to our familiar 2D screens.</p>
<p>This work presents the design of interactive 3D tools for a VR-simulated office space to support tasks related to the workflow of a knowledge worker with the focus on one part of a knowledge worker’s workflow: the collection of knowledge. We propose two tools for a VR-Office environment primarily targeting the facilitation of manually acquiring and sorting research publications related to specific topics of interest.</p>
<p>In the process of our work, we created a unique virtual office environment offering two prototype research tools textitSynonym Finder and textitPyramid, which aim to support a knowledge worker’s tasks. Throughout our project, we conducted a qualitative user evaluation with seven participants. Overall, we achieved excellent results with the VR prototype and received insightful feedback to improve our application.</p>},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
<p>Virtual, Augmented and Mixed Reality (VAMR) fields of applications are met with the demand for innovation within the field to build the bridge between the theory of its use and our daily life. However, much of the innovation stops at conceptualising the opportunities that virtual environments offer and instead drifts back to our familiar 2D screens.</p>
<p>This work presents the design of interactive 3D tools for a VR-simulated office space to support tasks related to the workflow of a knowledge worker with the focus on one part of a knowledge worker’s workflow: the collection of knowledge. We propose two tools for a VR-Office environment primarily targeting the facilitation of manually acquiring and sorting research publications related to specific topics of interest.</p>
<p>In the process of our work, we created a unique virtual office environment offering two prototype research tools textitSynonym Finder and textitPyramid, which aim to support a knowledge worker’s tasks. Throughout our project, we conducted a qualitative user evaluation with seven participants. Overall, we achieved excellent results with the VR prototype and received insightful feedback to improve our application.</p>
<p>This work presents the design of interactive 3D tools for a VR-simulated office space to support tasks related to the workflow of a knowledge worker with the focus on one part of a knowledge worker’s workflow: the collection of knowledge. We propose two tools for a VR-Office environment primarily targeting the facilitation of manually acquiring and sorting research publications related to specific topics of interest.</p>
<p>In the process of our work, we created a unique virtual office environment offering two prototype research tools textitSynonym Finder and textitPyramid, which aim to support a knowledge worker’s tasks. Throughout our project, we conducted a qualitative user evaluation with seven participants. Overall, we achieved excellent results with the VR prototype and received insightful feedback to improve our application.</p>
251.
Manthey, Robert; Vogel, Richard; Baumgart, Matthias; Roschke, Christian; Ritter, Marc; Vodel, Matthias
Decentralized Resilient Smart Lock System with Offline Capabilities - ChainLock Proceedings Article
In: PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 2023.
@inproceedings{mantheyDecentralizedResilientSmart2023,
title = {Decentralized Resilient Smart Lock System with Offline Capabilities - ChainLock},
author = {Robert Manthey and Richard Vogel and Matthias Baumgart and Christian Roschke and Marc Ritter and Matthias Vodel},
doi = {10.1145/3594806.3594842},
year = {2023},
date = {2023-01-01},
booktitle = {PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments},
abstract = {The management of authorizations for access to rooms, buildings and similar is of great importance for many facilities and institutions. However, similar with increasing size and variability, the complexity and the effort required for updating also increases significantly. The presented decentralized solution with locks featuring no permanent connection represents a significant improvement and simplification in this regard. In addition, its distributed blockchain architecture significantly reduces the possibilities for manipulation.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The management of authorizations for access to rooms, buildings and similar is of great importance for many facilities and institutions. However, similar with increasing size and variability, the complexity and the effort required for updating also increases significantly. The presented decentralized solution with locks featuring no permanent connection represents a significant improvement and simplification in this regard. In addition, its distributed blockchain architecture significantly reduces the possibilities for manipulation.