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Title: SENTENTIA – Proximate Collaboration and Multicasting with Augmented Identification
Authors: Jayasinghe, L.S.
Kalansuriya, P.G.
Ranasinghe, T.D.
Vithana, L.K.
Thelijjagoda, S.
Keywords: Human Collaboration
Natural Language Processing
Augmented Reality
Proximate Collaboration
Proximate Multicasting
Augmented Identification
Issue Date: 12-Jul-2013
Series/Report no.: PG/IS/;0031
Abstract: The notion of collaboration has always been an essential ingredient of human society. It served as the mortar to the foundations on which civilizations were built. However, with the advent of distance collaboration humans have grown apart. Vis-à-vis communication is nearly extinct and we always overreach to obtain even the simplest of services. Realizing the issues therein, Sententia aims to introduce an alternative approach which backtracks to the roots of human collaboration through the use of cutting-edge technologies such as Artificial Intelligence and Augmented Reality. This approach is taken in conformance with two architectural models which are introduced along with the system. The first, termed Proximate Collaboration, is akin to ―reading the minds‖ of individuals that approach you and discovering if their ideas match yours’ or if they possess what you require. The second, termed Proximate Multicasting, maps each individual to a role in the society and offers those strangers around you as potential sources of services. In addition, it conceptualizes a community of humans as an organic network to facilitate quick and reliable information propagation to promote a collective intelligence. Furthermore, the incorporation of Augmented Identification supplements the above models by providing a mobile reality browser which populates an individual’s environment with collaborative information.
Description: VOL.1,January 2012
Appears in Collections:Information Systems

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