TY - CHAP A1 - Detjen, Henrik A1 - Geisler, Stefan A1 - Schneegass, Stefan T1 - Maneuver-based Control Interventions During Automated Driving: Comparing Touch, Voice, and Mid-Air Gestures as Input Modalities T2 - 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) N2 - Self-driving cars will relief the human from the driving task. Nevertheless, the human might want to intervene in the driving process and thus needs the possibility to control the car. Switching back to fully manual controls is uncomfortable once being passive and engaging in non-driving-related activities. A more comfortable way is controlling the car with elemental maneuvers (e.g., "turn left" or "stop"). Whereas touch interaction concepts exist, contactless interaction through voice and mid-air gestures has not yet been explored for maneuver-based car control. In this paper, we, therefore, compare the general eligibility of voice and mid-air gesture with touch interaction as the primary maneuver selection mechanism in a driving simulator study. Our results show high usability for all modalities. Contactless interaction leads to a more positive emotional perception of the interaction, yet mid-air gestures lead to higher task load. Overall, voice and touch control are preferred over mid-air gestures by most users. KW - Usability KW - Shape KW - Autonomous automobiles KW - Automobiles KW - Task analysis Y1 - 2020 SN - 978-1-7281-8527-9 U6 - http://dx.doi.org/10.1109/SMC42975.2020.9283431 SN - 2577-1655 SP - 3268 EP - 3274 ER - TY - JOUR A1 - Detjen, Henrik A1 - Faltaous, Sarah A1 - Pfleging, Bastian A1 - Geisler, Stefan A1 - Schneegass, Stefan T1 - How to Increase Automated Vehicles’ Acceptance through In-Vehicle Interaction Design: A Review N2 - Automated vehicles (AVs) are on the edge of being available on the mass market. Research often focuses on technical aspects of automation, such as computer vision, sensing, or artificial intelligence. Nevertheless, researchers also identified several challenges from a human perspective that need to be considered for a successful introduction of these technologies. In this paper, we first analyze human needs and system acceptance in the context of AVs. Then, based on a literature review, we provide a summary of current research on in-car driver-vehicle interaction and related human factor issues. This work helps researchers, designers, and practitioners to get an overview of the current state of the art. Y1 - 2020 U6 - http://dx.doi.org/https://doi.org/10.1080/10447318.2020.1860517 SP - 1 EP - 23 ER - TY - CHAP A1 - Konopek, Aleksandra A1 - Schäfer, Michael A1 - Keders, Laura A1 - Paproth, Florian T1 - Service Learning with Impact: How Engineering Students and People with Disabilities Acquire Future Skills N2 - This Paper presents a new service-learning setting based on the collaboration of engineering students and people with disabilities. The implementation at a German university is described and first results from two years of experience are shown. The objective of this case study is to show a transferable best practice concept with impact. KW - Service Learning, Inclusion, FabLab, People with Disabilities Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1393-opus4-6444 UR - https://ieeexplore.ieee.org/abstract/document/9125354 SN - 978-1-7281-0930-5 SN - 2165-9567 SP - 1 EP - 9 ER - TY - THES A1 - Akgün, Nese T1 - Stress im Informatikstudium BT - Empirische Untersuchungen im Hochschulkontext N2 - Introduction The aim of this thesis is to examine the Eu- and Distressors of the students of computer science at the Hochschule Ruhr West – University of Applied Sciences. According to the wishes of the new counselling centre for academic stress, stu-dents are to be interviewed for this purpose. In the following, the thesis integrates the known problems in computer science studies. Additionally, the students of computer science should be made aware of the stress with a cartoon video. With the help of the video the future Eu- and Distressors should be recognized in time and help should be fetched from the Hochschule Ruhr West – University of Ap-plied Sciences. Methods The investigation of stressors is carried out with a focus group interview (N = 4) and with an online questionnaire survey (N = 120). The significance tests are variance-analytical and group deviations are calculated using t-tests and single factor ANOVA. Results The results show differences between the stressors in different groups. Especi-ally in the groups with previously acquired knowledge and with differently asses-sed professional competencies. In particular, the stress level is different between the genders and among computer science students who had fallen ill several times during their studies. Conclusion The results are relevant for the current stress situations in computer science stu-dies and for the next studies. In addition, this study also draws attention to the problems in computer science, such as the lack of women in computer science, which could cause stress for students of computer science. N2 - Einführung Ziel der vorliegenden Thesis ist es, die Eu- und Disstressoren der Infomatikstudierenden an der Hochschule Ruhr West zu untersuchen. Hierzu sollen nach den Wünschen der neuen Beratungsstelle für den Studienstress die Studierenden befragt werden. Nachfolgend werden in der Thesis die bekannten Problematiken im Informatikstudium eingebunden. Zusätzlich sollen die Informatikstudierenden auf den Stress mit einem Cartoon-Video aufmerksam gemacht werden. Mithilfe des Videos sollen die zukünftigen Eu- und Disstressoren rechtzeitig erkannt und Hilfe an der Hochschule Ruhr West abgeholt werden. Methode Die Untersuchung der Stressoren wird mit einem Fokusgruppeninterview (N = 4) und mit einer Online-Fragebogenerhebung (N = 120) durchgeführt. Die Signifikanzprüfungen sind varianzanalytisch und die Abweichungen der Gruppen werden mit t-Tests und einfaktorieller ANOVA berechnet. Ergebnisse Die Ergebnisse zeigen Unterschiede zwischen den Stressoren in unterschiedlichen Gruppen. Vor allem in den Gruppen mit davor erworbenen Vorkenntnissen und mit verschieden bewerteten Fachkompetenzen. Insbesondere ist der Stresslevel zwischen den Geschlechtern und bei den Informatikstudierenden, die mehrmals im Studium erkrankt waren, unterschiedlich. Schlussfolgerung Die Ergebnisse sind für die aktuellen Stresssituationen im Informatikstudium und für die nächsten Studien relevant. Außerdem wird mit dieser Studie auch auf die Problematiken in der Informatik, wie z. B. dem Frauenmangel in der Informatik, die den Informatikstudierenden den Stress verursachen könnten, aufmerksam gemacht. KW - Academic-stress KW - Eustress KW - Distress KW - computer-science-study KW - Stress-consultation KW - Studienstress KW - Informatikstudium KW - Stresshilfe Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1393-opus4-6378 ER - TY - THES A1 - Schneider, Ute T1 - Die Bundeswehr im War for Talent. Welches Erfolgspotential hat die YouTube-Serie "Mali" für die Personalgewinnung der Bundeswehr? Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1393-opus4-6344 ER - TY - THES A1 - Rexing, Alexander T1 - Zirkuläre Wertschöpfung - Entwicklung und exemplarische Anwendung eines Kriterienkatalogs zur Bewertung von Beispielen zirkulärer Wertschöpfung Y1 - 2020 ER - TY - THES A1 - Bußmann, Tobias T1 - Anwendungspotentiale von MeshLab in Reverse-Engineering-Projekten N2 - Das Ziel der vorliegenden Arbeit ist es, die Eignung von MeshLab in einem Reverse-Engineering-Projekt zu überprüfen. Dazu wurden vor Beginn sechs Kriterien aufgestellt, auf die MeshLab untersucht wird. Das Ergebnis zeigt, dass MeshLab fünf von sechs Kriterien erfüllt und somit für einen Einsatz geeignet ist. MeshLab ist ein Teil der Datenaufbereitung des Reverse Engineering. Es ist ein kostenloses Programm und somit in Kombination mit einem günstigen Scanner für einen Einsatz in Reverse-Engineering-Projekten mit einem geringen Kostenaufwand einsetzbar. The aim of this bachelor thesis is to verify the suitability of MeshLab in a Reverse-Engineering-Project. Before the beginning six criterias were set up on which MeshLab is examined. The result shows that MeshLab fulfills five of six criterias and is therefore suitable for use. MeshLab is a part of the data preparation from the Reverse Engineering. It is a free programm and in combination with a cheap scanner, it can be used in a Revere-Engineering-Project with a low Budget. Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1393-opus4-6283 ER - TY - THES A1 - Pyshchyk, Igor T1 - Erstellung eines Machine Learning Frameworks zur Sentimentanalyse von Twitterposts N2 - The present bachelor theses discusses the creation process of a framework for the sys-tematic analysis of twitter posts regarding their sentiment. The result is an application, which links and uses the covered theoretical approaches for text classification. KW - Natural Language Processing KW - Classification KW - Supervised Learning KW - Machine Learning KW - Sentiment Analysis Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1393-opus4-6227 ER - TY - THES A1 - Vogt, Jan T1 - Entwicklung und Evaluation einer generischen Dialogstruktur für Voicebots zur Vereinbarung von Terminen in der Kundenbetreuung Y1 - 2020 ER - TY - THES A1 - Hüwe, Niclas T1 - Analyse der Sensorabhängigkeit einer LiDAR-basierten Objekterkennung mit neuronalen Netzen N2 - The task of object detection in the automotive sector can be performed by evaluating various sensor data. The evaluation of LiDAR data for the detection of objects is a special challenge for which systems with neural networks can be used. These neural networks are trained by means of a data set. If you want to use the net with your own recordings or another data set, it is important to know how well these systems work in combination with data from another sensor. This allows the results to be estimated in advance and compared with the results of previous experiments. In this work the sensor dependence of a LiDAR based object recognition with neural networks will be analysed. The detector used in this work is PointRCNN [1], which was designed for the KITTI dataset [2]. To check the sensor dependency, the ’AEV Autonomous Driving Dataset’ (A2D2) dataset [3] was selected as a further dataset. After an introduction to PointRCNN and its functionality, the data of both datasets are analysed. Then the data of the second dataset will be ported into the format of the KITTI dataset so that they can be used with PointRCNN. Through experiments with varying combinations of training and validation data it shall be investigated to what extent trained models can be transferred to other sensor data or datasets. Therefore, it shall be investigated how strong the dependence of the detector (PointRCNN) on the used sensors is. The results show that PointRCNN can be evaluated with a different dataset than the training dataset while still being able to detect objects. The point density of the datasets plays a decisive role for the quality of the detection. Therefore it can be said that PointRCNN has a sensor dependency that varies with the nature of the point cloud and its density. Keywords: LiDAR data, 3D object recognition, laser scanner, sensor dependency, PointRCNN, PointNet++, PointNet, KITTI Dataset, AEV Autonomous Driving Dataset, A2D2 Dataset Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1393-opus4-6200 ER -