Auflistung nach:
Auflistung Künstliche Intelligenz 31(3) - August 2017 nach Titel
1 - 10 von 13
Treffer pro Seite
Sortieroptionen
- ZeitschriftenartikelEditorial to Special Issue on Smart Environments(KI - Künstliche Intelligenz: Vol. 31, No. 3, 2017) Wolter, Diedrich; Kirsch, Alexandra
- ZeitschriftenartikelHow Smart are Smart Environments?(KI - Künstliche Intelligenz: Vol. 31, No. 3, 2017) Ludwig, Bernd
- ZeitschriftenartikelIndoor Localisation with Beacons for a User-Friendly Mobile Tour Guide(KI - Künstliche Intelligenz: Vol. 31, No. 3, 2017) Kaulich, Tobias; Heine, Thomas; Kirsch, AlexandraBluetooth beacons are a recent technology that promises a simple, low-cost indoor localisation method with mobile devices. One application for such a localisation are museums or other exhibitions to provide visitors with information about nearby exhibits. We tested the localisation capabilities of beacons and explored different localisation techniques. Then we used the localisation in a tour guide app and examined how localisation contributes to the usability of the app.
- ZeitschriftenartikelInterview with Prof. Dr. Daniel Buhr, Professor for Policy Analysis and Political Economy at the University of Tübingen(KI - Künstliche Intelligenz: Vol. 31, No. 3, 2017) Kirsch, Alexandra
- Zeitschriftenartikel“KogniChef”: A Cognitive Cooking Assistant(KI - Künstliche Intelligenz: Vol. 31, No. 3, 2017) 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.
- ZeitschriftenartikelLiving Lab Bamberg: an infrastructure to explore smart city research challenges in the wild(KI - Künstliche Intelligenz: Vol. 31, No. 3, 2017) Benabbas, Aboubakr; Elmamooz, Golnaz; Lagesse, Brent; Nicklas, Daniela; Schmid, UteThe 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.
- ZeitschriftenartikelNews(KI - Künstliche Intelligenz: Vol. 31, No. 3, 2017)
- ZeitschriftenartikelPlug and Play your Robot into your Smart Home: Illustration of a New Framework(KI - Künstliche Intelligenz: Vol. 31, No. 3, 2017) Nguyen, Sao Mai; Lohr, Christophe; Tanguy, Philippe; Chen, YiqiaoWe present our team IHSEV, and our preliminary studies to tackle the question of interoperability of devices and robots for smart homes. We propose a framework enabling the seamless communication between smart home devices and robots. Our framework relies primarily on the xAAL protocol, which allows any device from any type to be plugged into a smart house network. We have recently extended xAAL to allow any ROS-compatible robot to be integrated into the smart house network. We illustrate the relevance of this framework in an implemented use case: assistance of an elderly person in the case of a fall (Fig. 1).
- ZeitschriftenartikelSituated Interaction with a Smart Environment: Challenges and Opportunities(KI - Künstliche Intelligenz: Vol. 31, No. 3, 2017) Tenbrink, ThoraInteracting 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.
- ZeitschriftenartikelSmart Environments: What is it and Why Should We Care?(KI - Künstliche Intelligenz: Vol. 31, No. 3, 2017) Wolter, Diedrich; Kirsch, AlexandraThis article portrays the area of smart environments from a research perspective, defining the field and discriminating it against related fields. We position the field of smart environments within the disciplines of artificial intelligence and human-computer interaction and discuss its genuine research questions. As an application area, smart environments presents prospects on improving our everyday lives, but systems penetrating our environments also trigger crucial questions related to sociology, ethics, and privacy on an unprecedented level.