1st International ICST Conference on Ambient Media and Systems

Research Article

Deconstructing Ambient Intelligence into Ambient Narratives: The Intelligent Shop Window

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  • @INPROCEEDINGS{10.4108/ICST.AMBISYS2008.2872,
        author={Mark van Doorn and Evert van Loenen and Arjen P. de Vries},
        title={Deconstructing Ambient Intelligence into Ambient Narratives: The Intelligent Shop Window},
        proceedings={1st International ICST Conference on Ambient Media and Systems},
        publisher={ICST},
        proceedings_a={AMBI-SYS},
        year={2010},
        month={5},
        keywords={ambient intelligence interactive narrative end-user programming intelligent shop window},
        doi={10.4108/ICST.AMBISYS2008.2872}
    }
    
  • Mark van Doorn
    Evert van Loenen
    Arjen P. de Vries
    Year: 2010
    Deconstructing Ambient Intelligence into Ambient Narratives: The Intelligent Shop Window
    AMBI-SYS
    ICST
    DOI: 10.4108/ICST.AMBISYS2008.2872
Mark van Doorn1,*, Evert van Loenen1,*, Arjen P. de Vries2,*
  • 1: Philips Research Laboratories, High Tech Campus 34, 5656 AE Eindhoven, The Netherlands
  • 2: Centre for Mathematics and Computer Science, Kruislaan 413 1098 SJ, Amsterdam, The Netherlands
*Contact email: mark.van.doorn@philips.com, evert.van.loenen@philips.com, arjen.de.vries@cwi.nl

Abstract

Producing intelligent environments that are sensitive and responsive to the presence of users and their environment on a large scale is difficult. On one hand, it is technologically very hard to mass produce a device so smart that it is capable of generating a truly personal ambient experience for each situational context, on the other hand, tailor-made solutions are often economically infeasible. In this paper we discuss a mass customization approach towards Ambient Intelligence that tries to balance variety and cost by breaking up an intelligent environment into small, interrelated modular fragments. Through interaction with their environment users assemble these fragments in a personal story that is experienced as Ambient Intelligence. We describe the requirements derived through a series of workshops with retailers and designers and illustrate the design of the physical hypermedia model and system. Using a test case, the intelligent shop window environment, we evaluate the feasibility of the approach.