@article{GuerraBuettnerBeşeretal., author = {Guerra, Enrico and B{\"u}ttner, Sebastian Thomas and Be{\c{s}}er, Alper and Prilla, Michael}, title = {Assessing the Use of Mixed Reality as a Valid Tool for Human-Robot Interaction Studies in the Context of Space Exploration}, series = {Advancing Human-Computer Interaction for Space Exploration (SpaceCHI 2025). Open Access Series in Informatics (OASIcs)}, volume = {2025}, journal = {Advancing Human-Computer Interaction for Space Exploration (SpaceCHI 2025). Open Access Series in Informatics (OASIcs)}, number = {Volume 130}, publisher = {Schloss Dagstuhl - Leibniz-Zentrum f{\"u}r Informatik}, doi = {10.4230/OASIcs.SpaceCHI.2025.27}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1010-opus4-48280}, pages = {27:1 -- 27:11}, abstract = {Mixed Reality (MR) is a technology with strong potential for advancing research in Human-Robot Interaction (HRI) for space exploration. Apart from the efficiency and high flexibility MR can offer, we argue that its benefits for HRI research in space contexts lies particularly in its ability to aid human-in-the-loop development, offer realistic hybrid simulations, and foster broader participation in HRI research in the space exploration context. However, we believe that this is only plausible if MR-based simulations can yield comparable results to fully physical approaches in human-centred studies. In this position paper, we highlight several arguments in favour of MR as a tool for space HRI research, while emphasising the importance of the open question regarding its scientific validity. We believe MR could become a central tool for preparing for future human-robotic space exploration missions and significantly diversify research in this domain.}, language = {en} } @misc{Dierks2020, type = {Master Thesis}, author = {Dierks, Tim}, title = {Visual Cues: Integration of object pose recognition with an augmented reality system as means to support visual perception in human-robot control}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1010-opus4-37602}, school = {Westf{\"a}lische Hochschule Gelsenkirchen Bocholt Recklinghausen}, pages = {III, 92}, year = {2020}, abstract = {Autonomy and self-determination are fundamental aspects of living in our society. Supporting people for whom this freedom is limited due to physical impairments is the fundamental goal of this thesis. Especially for people who are paralyzed, even working at a desk job is often not feasible. Therefore, in this thesis a prototype of a robot assembly workstation was constructed that utilizes a modern Augmented Reality (AR)-Head-Mounted Display (HMD) to control a robotic arm. Through the use of object pose recognition, the objects in the working environment are detected and this information is used to display different visual cues at the robotic arm or in its vicinity. Providing the users with additional depth information and helping them determine object relations, which are often not easily discernible from a fixed perspective. To achieve this a hands-free AR-based robot-control scheme was developed, which uses speech and head-movement for interaction. Additionally, multiple advanced visual cues were designed that utilize object pose detection for spatial-visual support. The pose recognition system is adapted from state-of-the-art research in computer vision to allow the detection of arbitrary objects with no regard for texture or shape. Two evaluations were performed, a small user study that excluded the object recognition, which confirms the general usability of the system and gives an impression on its performance. The participants were able to perform difficult pick and place tasks with a high success rate. Secondly, a technical evaluation of the object recognition system was conducted, which revealed an adequate prediction precision, but is too unreliable for real-world scenarios as the prediction quality is highly variable and depends on object orientations and occlusion.}, subject = {Erweiterte Realit{\"a}t }, language = {en} } @misc{Ruecker2020, type = {Master Thesis}, author = {R{\"u}cker, Franziska}, title = {Visuelle Helfer: Ein Augmented Reality Prototyp zur Unterst{\"u}tzung der visuellen Wahrnehmung f{\"u}r die Steuerung eines Roboterarms}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1010-opus4-37531}, school = {Westf{\"a}lische Hochschule Gelsenkirchen Bocholt Recklinghausen}, pages = {X, 104}, year = {2020}, abstract = {K{\"o}rperliche Behinderungen k{\"o}nnen einen Menschen soweit einschr{\"a}nken, dass f{\"u}r sie ein autonomes und selbstbestimmtes Leben, trotz intakter mentaler und kognitiven F{\"a}higkeiten, nicht mehr m{\"o}glich ist. Daher ist f{\"u}r Menschen, die beispielsweise vom Hals abw{\"a}rts gel{\"a}hmt sind, sogenannten Tetraplegikern, jede Zur{\"u}ckgewinnung von Autonomie eine Steigerung der Lebensqualit{\"a}t. In dieser Masterarbeit wird ein Augmented Reality Prototyp entwickelt, der es Tetraplegikern oder Menschen mit einer {\"a}hnlichen k{\"o}rperlichen Einschr{\"a}nkung erlaubt, an einem Mensch-Roboter Arbeitsplatz Montageaufgaben durchzuf{\"u}hren und ihnen somit eine Integration ins Arbeitsleben erm{\"o}glichen kann. Der Prototyp erlaubt es den Benutzer ohne die Nutzung der H{\"a}nde, einen Kuka iiwa Roboterarm mit der Microsoft HoloLens zu steuern. Dabei wird ein Fokus darauf gelegt, das Blickfeld des Benutzers mit speziellen virtuellen Visualisierungen, sogenannten visuellen Helfern, anzureichern, um die Nachteile, die durch die Bewegungseinschr{\"a}nkungen der Zielgruppe ausgel{\"o}st werden, auszugleichen. Diese visuellen Helfer sollen bei der Steuerung des Roboterarms unterst{\"u}tzen und die Bedienung des Prototyps verbessern. Eine Evaluation des Prototyps zeigte Tendenzen, dass das Konzept der visuellen Helfer den Benutzer den Roboterarm pr{\"a}ziser steuern l{\"a}sst und seine Bedienung unterst{\"u}tzt.}, subject = {Erweiterte Realit{\"a}t }, language = {de} }