http://dl.gi.de/handle/20.500.12116/11028 Tue, 21 Jul 2026 13:17:02 GMT 2026-07-21T13:17:02Z http://dl.gi.de/handle/20.500.12116/11073 Living Lab Bamberg: an infrastructure to explore smart city research challenges in the wild Benabbas, Aboubakr; Elmamooz, Golnaz; Lagesse, Brent; Nicklas, Daniela; Schmid, Ute The growing number of smart technologies for ubiquitous sensing and interaction of computer systems and the physical environment offer many opportunities for more efficient usage of energy and other resources and to improve the quality of life among communities. There are numerous problems that must be solved first. Research areas such as security, privacy, data quality, and data modeling must be addressed. In order to move forward to a better world, we have established the living lab Bamberg where we will address these research problems and provide open data and interfaces to other researchers to enable collaboration and extensive testing of smart city research and applications. As we continue to use the living lab Bamberg to improve state of the art research in smart cities, we believe we will see smart city technology adopted more commonly and drastically improve the lives of people living in those cities. Sun, 01 Jan 2017 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/11073 2017-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/11074 Situated Interaction with a Smart Environment: Challenges and Opportunities Tenbrink, Thora Interacting with a smart environment involves agreeing on what to do when, based on a joint understanding of where things and people are or where they should be. Face-to-face interaction between humans, or between humans and robots, implies clearly identifiable perspectives on the environment that can be used to establish such a joint understanding. A smart environment, in contrast, is ubiquitous and thus perspective-independent. This paper reviews the implications of this situation in terms of the challenges for establishing joint spatial reference between humans and smart systems, and presents a somewhat unconventional solution as an opportunity. Sun, 01 Jan 2017 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/11074 2017-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/11071 Editorial to Special Issue on Smart Environments Wolter, Diedrich; Kirsch, Alexandra Sun, 01 Jan 2017 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/11071 2017-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/11066 “KogniChef”: A Cognitive Cooking Assistant Neumann, Alexander; Elbrechter, Christof; Pfeiffer-Leßmann, Nadine; Kõiva, Risto; Carlmeyer, Birte; Rüther, Stefan; Schade, Michael; Ückermann, André; Wachsmuth, Sven; Ritter, Helge J. Cooking is a complex activity of daily living that requires intuition, coordination, multitasking and time-critical planning abilities. We introduce KogniChef, a cognitive cooking assistive system that provides users with interactive, multi-modal and intuitive assistance while preparing a meal. Our system augments common kitchen appliances with a wide variety of sensors and user-interfaces, interconnected internally to infer the current state in the cooking process and to provide smart guidance. Our vision is to endow the system with the processing and the reasoning skills needed to guide a cook through recipes, similar to the assistance an expert chef would be able to provide on-site. Sun, 01 Jan 2017 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/11066 2017-01-01T00:00:00Z