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Is Ambient Intelligence a truly Human-Centric Paradigm in Industry? Current Research and Application Scenario


Author Info

  • Luís Ribeiro

    (Faculty of Science and Technology, Universidade Nova de Lisboa)

  • José Barata

    (Faculty of Science and Technology, Universidade Nova de Lisboa)

  • Pedro Barreira

    (Faculty of Science and Technology, Universidade Nova de Lisboa)


The use of pervasive networked devices is nowadays a reality in the service sector. It impacts almost all aspects of our daily lives, although most times we are not aware of its influence. This is a fundamental characteristic of the concept of Ambient Intelligence (AmI). Ambient Intelligence aims to change the form of human-computer interaction, focusing on the user needs so they can interact in a more seamless way, with emphasis on greater user-friendliness. The idea of recognizing people and their context situation is not new and has been successfully applied with limitations, for instance, in the health and military sectors. However its appearance in the manufacturing industry has been elusive. Could the concept of AmI turn the current shop floor into a truly human centric environment enabling comprehensive reaction to human presence and action? In this article an AmI scenario is presented and detailed with applications in human’s integrity and safety.

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Bibliographic Info

Article provided by Universidade Nova de Lisboa, IET/CESNOVA-Research on Enterprise and Work Innovation, Faculty of Science and Technology in its journal Enterprise and Work Innovation Studies.

Volume (Year): 5 (2009)
Issue (Month): 5 (November)
Pages: 25-35

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Handle: RePEc:ieu:journl:v:5:y:2009:i:5:p:25-35

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Related research

Keywords: Ambient Intelligence; networks; human-computer interaction;

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Cited by:
  1. António B. Moniz, 2009. "Synthesis about a collaborative project on “Technology Assessment of Autonomous Systems”," Enterprise and Work Innovation Studies, Universidade Nova de Lisboa, IET/CESNOVA-Research on Enterprise and Work Innovation, Faculty of Science and Technology, vol. 5(5), pages 83-91, November.


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