Abstract
In this paper we are proposing a GUI based Prototype for user centered environment like class room, library hall, laboratory, meeting hall, coffee shop, kitchen, living room and bedroom, which recommends useful services based on the user’s context. Service recommendation is mainly based on parameters such as user, location, time, day and mood. Inaddition whenever the conflict arises among different users it will be resolved using some conflict resolving algorithms. The motivation behind the proposed work is to improve the user satisfaction level and to improve the social relationship between user and devices The prototype contains simulated sensors which are used to capture the raw context information, which is then described with meaningful English sentence and services are recommended based on user’s situation. The proposed conflict resolving algorithms are Rule based algorithm, Bayesian probability based algorithm and Rough set theory based algorithm. The amount of conflicts resolved by these algorithms is also analyzed at the end.
Highlights
The advancement of pervasive computing, sensor technology and artificial intelligence techniques such as rough set theory, Bayesian probability, Fuzzy logic is motivating many researchers across the world to improve the intellectual and social relationship between man and machine
The motivation behind the proposed work is to improve the user satisfaction level and to improve the social relationship between user and devices The prototype contains simulated sensors which are used to capture the raw context information, which is described with meaningful English sentence and services are recommended based on user’s situation
We propose a series of algorithms to resolve conflict in multi user environment The algorithms make use of different tools like Probability, Fuzzy Logic, Bayesian Network and Rough set theory and utilize various factors like social, personal and environmental
Summary
The advancement of pervasive computing, sensor technology and artificial intelligence techniques such as rough set theory, Bayesian probability, Fuzzy logic is motivating many researchers across the world to improve the intellectual and social relationship between man and machine. This trend has the given scope for the development of context aware applications. The algorithms are compared in terms of amount conflict resolution, by making use of simulated context The motto of this proposed work is to enable context aware applications to offer socialized and personalized services to the users and improve the user-device interoperability according to user needs to increase the comfort level of users
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