Internet of Persons and Things inspired on Brain Models and Neurophysiology
AbstractLiving in the twenty first century and being part of a modern society entails being entirely acquainted with the Internet. Business success, research and study rely on intense usage of the Internet, doing most of the activities based on information gathered at the Internet and using diverse kind of services available. The recent development in devices and services, either for computational or mobile operations, has revealed a diversity of paths for the Internet to have impact in our lives, either professional or personal. Without notice, every activity we do is becoming somehow connected to the web in multiple forms that can range from the search of information, the communication between people and information storage at the cloud. Everything seems to be so useful and so destined to promote our life and supply our needs for work, learning or recreation activities. As for the social aspects, Internet has a multitude of opportunities to communicate, to share ideas and to get feedback or news, as it happens, with online newspapers, the blogosphere and social networks. With this pervasive and sometimes implicit integration of the Internet in our lives, we are migrating from traditional way of life to an Internet supported lifestyle with many daily Internet based activities executed by each human being. However, despite this movement of almost putting us in the innards of Internet, we didn’t yet notice a structural change in such infrastructure to cope with our human nature and, in particular, with the way we perceive and feel the world. This article exposes the vision of the authors for a possible shift in Internet paradigms towards effective support of the human nature.
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Bibliographic InfoArticle provided by "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences in its journal Computational Methods in Social Sciences (CMSS).
Volume (Year): 1 (2013)
Issue (Month): 1 (Ianuary)
Internet of Things; Neurophysiology; Brain models;
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