Project Details
Projekt
GRK 1424: Multimodal Smart Appliance Ensembles for Mobile Applications (MuSAMA)
Subject Area
Computer Science
Term
from 2006 to 2015
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 20190020
Catchwords like "Ubiquitous Computing", "Pervasive Computing", or "Ambient Intelligence" paraphrase the vision of a world, in which we are surrounded by smart, intuitively operated devices that help us to organise, structure, and master our everyday life. They share the notion of a smart, personal environment, which characterises a new paradigm for the interaction between a person and his everyday surroundings: Smart environments enable these surroundings to become aware of the human that interacts with it, his goals and needs. So it is possible to assist the human proactively in performing his activities and reaching his goals.
Hitherto, it is the user's responsibility to manage his personal environment, to operate and control the various appliances and devices available for his support. But, the more technology is available and the more options there are, the greater is the challenge to master your everyday environment, the challenge not to get lost in an abundance of possibilities. Failing to address this challenge adequately results in technology becoming inoperable, effectively useless. The goal of smart environments is to take over this mechanic and monotonous control task from the user and manage appliance activities on his behalf. By this, the environment's full assistive potential can be mobilised for the user, tailored to his individual goals and needs.
MuSAMA is based on the hypothesis that ubiquitous machine intelligence, envisioned for our future everyday environments, will be provided by dynamic ensembles: local agglomerations of smart appliances, whose composition is prone to frequent, unforeseeable, and substantial changes. Members of such ensembles need to be able to cooperate spontaneously and without human guidance in order to achieve their joint goal of assisting the user. Achieving this capability of autonomous cooperative assistance poses new challenges for the research on ubiquitous and ambient information technology.
Work in MuSAMA, therefore, concentrates on the investigation of models and algorithms that allow dynamic, ad-hoc ensembles to deliver the assistive power of Smart Environments independently of external or global knowledge. Globally coherent ensemble behaviour with respect to a user's need emerges from local interaction of individual appliances. The scenario of a "pervasive university" provides the required confrontation with reality for empirical analysis and evaluation.
Hitherto, it is the user's responsibility to manage his personal environment, to operate and control the various appliances and devices available for his support. But, the more technology is available and the more options there are, the greater is the challenge to master your everyday environment, the challenge not to get lost in an abundance of possibilities. Failing to address this challenge adequately results in technology becoming inoperable, effectively useless. The goal of smart environments is to take over this mechanic and monotonous control task from the user and manage appliance activities on his behalf. By this, the environment's full assistive potential can be mobilised for the user, tailored to his individual goals and needs.
MuSAMA is based on the hypothesis that ubiquitous machine intelligence, envisioned for our future everyday environments, will be provided by dynamic ensembles: local agglomerations of smart appliances, whose composition is prone to frequent, unforeseeable, and substantial changes. Members of such ensembles need to be able to cooperate spontaneously and without human guidance in order to achieve their joint goal of assisting the user. Achieving this capability of autonomous cooperative assistance poses new challenges for the research on ubiquitous and ambient information technology.
Work in MuSAMA, therefore, concentrates on the investigation of models and algorithms that allow dynamic, ad-hoc ensembles to deliver the assistive power of Smart Environments independently of external or global knowledge. Globally coherent ensemble behaviour with respect to a user's need emerges from local interaction of individual appliances. The scenario of a "pervasive university" provides the required confrontation with reality for empirical analysis and evaluation.
DFG Programme
Research Training Groups
Applicant Institution
Universität Rostock
Spokesperson
Professor Dr.-Ing. Thomas Kirste
Participating Researchers
Professor Dr. Clemens Cap; Professor Dr.-Ing. Peter Forbrig; Professor Dr. Andreas Heuer; Professor Dr.-Ing. Gero Mühl; Professor Dr.-Ing. Ralf Salomon; Professorin Dr.-Ing. Heidrun Schumann; Professor Dr. Lars Schwabe; Professor Dr. Oliver Staadt; Professor Dr.-Ing. Djamshid Tavangarian (†); Professor Dr.-Ing. Dirk Timmermann; Professorin Dr. Adelinde Uhrmacher
