@inbook{13786, abstract = {{Due to the superior job performing abilities and increasing computational capabilities, collaborating with artificial-intelligence-based services (AIBS or AI-based services) will be inevitable for employees in the service context. AI-based services in the form of virtual (e.g., chatbot) or physical (e.g., service robot) embodiments, which are characterized by a higher degree of autonomy and are intended to augment the tasks of human employees in a highly collaborative way, will increasingly become an integral part of employee’s work environment. Semi-structured interviews and a focus group discussion have been used to identify constructs driving employees’ perception of AI-based services and their impact on wellbeing. Combined with a thorough literature analysis, relations between the identified constructs have been derived from introducing a conceptual model of employees’ willingness to collaborate (WTC). This study identifies technology characteristics, job demands, resources, and control as constructs, directly influencing employees’ perceived risk of AI-based services.}}, author = {{Paluch, Stefanie and Wittkop, Thomas}}, booktitle = {{Artificial Intelligence in Customer Service : The Next Frontier for Personalized Engagement }}, editor = {{Sheth, Jagdish N. and Jain, Varsha and Mogaji, Emmanuel and Ambika, Anupama }}, isbn = {{978-3-031-33897-7}}, keywords = {{Artificial intelligence, AI-based services, Willingness to collaborate, Employees’ wellbeing}}, pages = {{281–302}}, publisher = {{Springer International Publishing AG}}, title = {{{Role of Risk on Employees’ Willingness to Collaborate with Artificial Intelligence and its Impact on Wellbeing}}}, doi = {{10.1007/978-3-031-33898-4_12}}, year = {{2023}}, } @misc{13828, abstract = {{Vaseline, also referred to as petrolatum, is a colloidal dispersion of liquid-crystalline structures of hydrocarbons derived from petroleum. It has long been recognized for its versatile applications in the pharmaceutical industry, with its use in the formulation of various topical medications, wound care products, and drug delivery systems. For pharmaceutical use, petrolatum has to meet the quality standards described in its Pharmacopoeia monograph. The comprised test ranges allow for a broad range of Vaseline qualities on the market, while the tests themselves only poorly discriminate between grades. The only differentiating properties are related to the melting behavior, which is tested via drop point analysis, and the consistency, addressed in the functionality-related characteristics section. In this study, we propose the hypothesis that Near-infrared spectroscopy (NIRS) could be a comparably simple method to evaluate the crystalline behavior of Vaseline qualities. We expect such information to provide additional details for Vaseline quality discrimination. This discrimination would allow the most suitable petroleum jelly to be selected for an existing formulation when the previous one needs to be replaced; for example, due to a manufacturer change. We demonstrate that NIRS in transmission and reflectance mode obtained by traditional continuous spectra acquisition and fragmented NIR spectra acquisition through multi-optical, multi-modal excitation, respectively, can both serve as a basis for detecting Vaseline quality differences, which we have further proven by thermal analysis and tests with semisolid formulations. Additionally, we demonstrate that a lower-cost multi-optical spectrometer in reflectance mode can detect Vaseline quality differences in rotated samples.}}, author = {{Fliedner, Niels Hendrik and Lohweg, Volker and Al-Karawi, Claudia and Pein-Hackelbusch, Miriam}}, booktitle = {{2023 IEEE 21st International Conference on Industrial Informatics (INDIN 2023)}}, editor = {{Dörksen, Helene and Scanzio, Stefano and Jasperneite, Jürgen and Wisniewski, Lukasz and Man, Kim Fung and Sauter, Thilo and Seno, Lucia and Trsek, Henning and Vyatkin, Valeriy}}, isbn = {{978-1-6654-9313-0}}, keywords = {{Reflectivity, Industries, Wounds, Hydrocarbons, Behavioral sciences, Thermal analysis, Sensors}}, location = {{Lemgo}}, publisher = {{IEEE}}, title = {{{A Novel Spectroscopic Approach for Vaseline Quality Discrimination}}}, doi = {{10.1109/indin51400.2023.10218318}}, year = {{2023}}, } @misc{13915, abstract = {{Strategies based on an optimal balance between standardization and individualization must be implemented to successfully overcome the current low level of automation in building construction. Project-specific adaptability can be ensured by a combination of automated machine technology and digital planning tools available today. In addition to achieving economic advantages, the focus is on improving sustainability factors, which concern both material consumption and functionality and improved use of resources and energy for building production and operation. The results of research into “lightweight aerogel concrete technology” has shown that an innovative liquid material mixture with insulating properties can be successfully implemented in an automated production process. An adaptive system for standardized wall, ceiling, and floor panels was developed, which can adapt to specific functionality needs and thus address the requirements of individual building tasks while keeping economic as well as architectural factors in mind. The advanced mono-material complies with current European regulations for insulated wall structures, considering the requirements for load-bearing capacity. Due to its homogeneous insulation effect across the entire element section, the aero lightweight concrete allows for intelligent detailing and connection principles and prevents the formation of thermal bridges. The relationship between material composition, material production, construction method, and building operation is essential for a circular planning process. Robotization as a multiple fabrication technology may facilitate these parameters in one cycle. The new technology allows for the crucial transition from research to an end-to-end construction workflow that maps the entire process chain, from concept planning to design and joining principles up to fabrication and assembly.}}, author = {{Albus, Jutta and Hollmann-Schröter, Kirsten}}, booktitle = {{Architecture, Structures and Construction}}, issn = {{2730-9894}}, keywords = {{Individualized standardization, Adaptability, Lightweight aerogel concrete technology, Resource optimization}}, number = {{2}}, pages = {{275--278}}, publisher = {{Springer Nature}}, title = {{{Prototypical approach for an individualized standardization process in the context of intelligent construction and automation}}}, doi = {{https://doi.org/10.1007/s44150-023-00081-0}}, volume = {{3}}, year = {{2023}}, }