TY - THES A1 - Marchenko, Tetiana T1 - Implementation and evaluation of a "Friendship flowerbed" - a novel approach of incorporating interactive friendship data physicalization in gifting experiences N2 - Data physicalizations are physical objects that encode data. The concept comes from data visualization, except for in a physicalization the data is presented as 3D tangible objects. Research shows that physical representation of data and being able to interact with it improve understanding and memorability of data, which supports the embodied cognition thesis, according to which cognition is supported by the body and the physical world and developmental psychology research, suggesting that manipulation of physical objects can promote understanding and learning. Alongside traditional physicalizations of statistical data, there also exist physicalizations of personal data, for example heartrate patterns, DNA data, one’s emotional states during the course of the week, etc. Research shows that such physicalizations, often embodied into everyday objects to promote familiarity and intuitive interaction, stimulate self-reflection as well as social interactions by telling others the stories behind the data. Some researchers thought about using data physicalizations as gifts and created example of such gifting artifacts. However, the design process of these artifacts was not based on the user research; nor were the physicalization gifts evaluated in any way. This is the gap that we are addressing in this master thesis, and the goal of our project was therefore to create and evaluate a personal data physicalization present using the human centered design approach. We started our work by conducting user research: performing interviews and defining the important characteristics of the future physicalisation gift. It was followed by a brainstorming session of possible design solutions and creation of the prototype. The prototype was then tested with users, addressing understandability of the data presented in the physicalisation and subjective perception of the gift. Our documentation of the findings and the research process provides a new step in the research of personal data physicalisations and lays out new topics for future investigations. Y1 - 2023 ER - TY - THES A1 - Okolie, Somtoo Dominic T1 - The Use of Pig insulin and Grafts in the treatment of Human Diabetes N2 - Biological resources are entities of natural origin with sources from either plants or animals that render a broad number of services to mankind. Purified pig insulin, pancreas, islet, and beta cells are biological resources synthesized, extracted, and isolated from pigs to provide medical services like treating human diabetes. The observed methodology was obtained by systematically reviewing and comparing other similar scientific studies to determine the challenges and risks associated with using pig grafts (islet, pancreas, beta cells) for the treatment of type 1 diabetes (T1D), the optimal pig age for extracting graft for treatment of diabetes, differences between human and pig insulin, and the clinical trials and adoption pig insulin and graft therapies for type 1 diabetes treatment. Xenotransplantation of pig grafts has successfully restored normoglycemia in a Type 1 diabetes patient for about 9.5 years, thus potentially being an alternative therapy to human islet allotransplantation. However, the clinical adoption of using pig grafts for diabetes treatment is hindered by the unavailability of T1D volunteers to be used for clinical trials because of risks like zoonosis, loss of body weight, immunosuppression, and death of the transplanted pig implant. Xenotransplantation of pig grafts to T1D can be clinically accepted through advanced practices like Genetic modifications of the pig, encapsulating the pig grafts before transplantation, and co-transplantation of the pig grafts with Mesenchymal Stem Cell (MSCs) and/or Sertoli cells (SCs). The clinical adoption of pig grafts for T1D treatment will mitigate the problem of limited islet/pancreas donor sources encountered in allotransplantation, hence more research and studies are needed for this milestone to be accomplished. Y1 - 2023 ER - TY - THES A1 - Hanafy, Ahmed T1 - API Driven Form Rendering N2 - This master’s thesis investigates the challenges and opportunities associated with dynamic form rendering in user interfaces, specifically in the context of Galeria Karstadt Kaufhof (GKK), a key player in the German retail sector. Collaborating with CODUCT Solutions GmbH, this research aims to enhance GKK’s operational efficiency and user experience in their digital transformation journey, focusing on Project Baldeney, a cloud-native platform that automates content management workflows. The thesis begins by outlining the limitations of traditional, static methods of form rendering, highlighting the implications for development time and error frequency. It identifies the fragmentation in the existing API-driven architectures as a critical issue affecting system reliability and user experience. Against this backdrop, the work proposes a unified, API-driven framework to dynamically render forms for many user actions, such as data input and transactions. The research takes a deep dive into existing systems—particularly Informatica’s Product Information Management (PIM) software and the new software in development Article Workbench to identify user experience issues, inefficiencies, and the complexities involved. Through this examination, it offers a targeted solution to integrate various components of form management, like building, parsing, validation, and rendering, into a cohesive system. The thesis aims to contribute to software development and user experience design substantially, by targeting improved development efficiency, reduced errors, and enhanced system reliability. By achieving these objectives, the research aspires to furnish GKK with a robust solution for dynamic form rendering, thereby enhancing both user satisfaction and system performance in the fast-evolving digital landscape. KW - Dynamic Form Rendering KW - API-Driven Architecture KW - Retail Software Integration KW - User Interface Efficiency KW - Product Information Management Y1 - 2023 ER - TY - THES A1 - Cremer, Luca T1 - Opportunity and Risk. A critical Assessment of the Ethics of Artificial Intelligence N2 - The literature review at hand addresses the following research question: “Does artificial intelligence and its future development potentially pose a significant threat to individuals’ well-being and humanity’s ethical values?”. For providing answers to the topic at hand, three hypotheses are investigated in detail out of which H0: “Artificial intelligence does pose a significant potential threat to individuals well-being and humanity’s ethical values.” is accepted in accordance with evaluation of findings gathered from 121 sources overall. Threats of artificial intelligence were identified in overall five fields of application, namely medical science, transport industry, potential militarization, surveillance as well as in interaction of artificial intelligence with consumers, for which the natural language processing model ChatGPT was investigated. Regarding medical sciences, threats include potential dehumanization effects through care robots equipped with artificial intelligence. In the transport industry, multiple issues may arise with autonomously operating vehicles while in potential military application of artificial intelligence, research is conducted in multiple countries. Regarding surveillance, artificial intelligence severely facilitates the implementation of social credit systems, as for instance seen in China. Additionally, human nature is embedded in the context of continuous development of artificial intelligence with aim of establishing a first approximation to guidelines of potentially needed limitations of further development of artificial intelligence. It is concluded that, for implementing specific limitations on development of artificial intelligence, more research is needed for identifying the most suitable approach of limiting further development of artificial intelligence. KW - Artificial intelligence KW - Human nature KW - Ethics KW - Threats of artificial intelligence Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-18656 ER - TY - THES A1 - Smuda, Alexander T1 - Über die Verhältnisprävention bei Pflegekräften mit Handlungsempfehlungen N2 - Die Pflege ist ein essenzieller Beruf, welcher mit physischen und psychischen Herausforderungen für die Pflegekräfte einhergeht. Der demografische Wandel und die damit einhergehende älter werdende Gesellschaft sowie der Pflegekräftemangel führen zu mehr Herausforderungen im Pflegealltag, welche Pfleger:innen allein kaum bewältigen können. Veränderungen sind notwendig, um ihnen ein gesundes Arbeitsumfeld zu ermöglichen. Das Ziel dieser Masterarbeit ist es, mithilfe von leitfadengestützten semi-strukturierten Expert:inneninterviews relevante Erkenntnisse für die Verhältnisprävention dieser Berufsgruppe zu erhalten. Dazu wird folgender Forschungsfrage nachgegangen: Wie sollten arbeitsplatzbedingte Verhältnisse verändert werden, um gesündere Arbeitsverhältnisse für Pflegekräfte zu ermöglichen und dadurch ‚Gesunde Arbeit‘ zu fördern? Zur Beantwortung der Forschungsfrage, wurde eine qualitative Forschung durchgeführt. Hierfür wurde mit dem Dienstleister für ‚Betriebliches Gesundheitsmanagement‘ ‚MOOVE GmbH‘ kooperiert. Als Expert:innen wurden neun relevante Stakeholder bzw. Akteur:innen interviewt, welche Einfluss auf die arbeitsbedingten Verhältnisse des Pflegesegments haben. Die Interviews wurden mittels qualitativer Inhaltsanalyse nach Mayring ausgewertet. Die Aussagen der Expert:innen zeigen Handlungsbedarf in den folgenden Bereichen: Arbeitsorganisation, Arbeitsumgebung, BGM, psychosoziale Faktoren, Qualifikationen/Weiterbildung und Politik. Insgesamt liefern die vorgeschlagenen Maßnahmen eine umfassende Perspektive zur Verbesserung der Arbeitsbedingungen in der Pflege, die sowohl organisatorische, strukturelle als auch zwischenmenschliche Aspekte berücksichtigen. Abschließend werden Limitationen sowie Anregungen für zukünftige Forschung diskutiert und ein Handlungsleitfaden mit den empfohlenen Maßnahmen dargestellt. Y1 - 2023 ER -