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Personal and Ubiquitous Computing

, Volume 15, Issue 4, pp 409–418 | Cite as

Awareness marks: adaptive services through user interactions with augmented objects

Original Article

Abstract

The ambient intelligence paradigm involves one important challenge: to be adaptive to users and context through simple and natural interactions. To meet this goal, it is important to associate data with relevant everyday objects in the environment, including users themselves, and to enable interaction mechanisms between these objects. Following this premise, in this paper, we present a conceptual model to link contextual information with augmented elements acquired from user interactions in an implicit and transparent way. In this way, it is possible to personalize and enhance offered services in order to facilitate daily user activities. We call this contextual data “awareness marks”, and these awareness marks make it possible to offer novel services adapted from past events that were captured as they happened. Moreover, we have developed and evaluated a set of prototypes using Near Field Communication technology, which follows the presented model.

Keywords

Context awareness Ontology Ambient intelligence Human–computer interaction Augmented objects 

Notes

Acknowledgments

This work has been financed by the TIN2009-14406-C05-03 and TIN2010-20510-C04-04 projects from the Ministerio de Ciencia e Innovaciόn (Spain) and by HITO-09-50 project from Junta de Comunidades de Castilla- La Mancha (Spain).

References

  1. 1.
    Ferscha A, Hechinger M, Mayrhofer R, Dos Santos Rocha M, Franz M, Oberhauser R (2004) Digital aura. In: Advances in pervasive computing. Springer, Linz, AustriaGoogle Scholar
  2. 2.
    Schmidt A, Kranz M, Holleis P (2005) Interacting with the ubiquitous computing—towards embedding interaction. In: Smart objects & ambient intelligence. ACM, Grenoble, FranceGoogle Scholar
  3. 3.
    Terrenghi L, Quigley A, Dix A (2009) A taxonomy for and analysis of multi-person-display ecosystems. Pers Ubiquit Comput 13(8):583–598. doi: 10.1007/s00779-009-0244-5 CrossRefGoogle Scholar
  4. 4.
    Loke SW (2006) Context-aware artifacts: two development approaches. IEEE Pervas Comput 5(2):48–53. doi: 10.1109/MPRV.2006.27 CrossRefGoogle Scholar
  5. 5.
    Taylor AS, Harper R, Swan L, Izadi S, Sellen A, Perry M (2009) Homes that make us smart. Pers Ubiquit Comput 11(5):383–393. doi: 10.1007/s00779-006-0076-5 CrossRefGoogle Scholar
  6. 6.
    Lopez-de-Ipiña D, Diaz-de-Sarralde I, García-Zubia J (2010) An ambient assisted living platform integrating RFID data-on-tag care annotations and twitter. J Univers Comput Sci 16(12):1521–1538. doi: 10.3217/jucs-016-12 Google Scholar
  7. 7.
    Fuentes L, Gámez N, Sánchez P (2009) Managing variability of ambient intelligence middleware. J Ambient Comput Intell 1(1):64–74. doi: 10.4018/jaci.2009010106 CrossRefGoogle Scholar
  8. 8.
    García-Herranz M, Haya PA, Esquivel A, Montoro G, Alamán X (2008) Easing the smart home: semiautomatic adaptation in perceptive environments. J Univers Comput Sci 14(9):1529–1544. doi: 10.3217/jucs-014-09 Google Scholar
  9. 9.
    Hervás R, Bravo J, Fontecha J (2010) A context model based on ontological languages, a proposal for information visualization. J Univers Comput Sci 16(12):1539–1555. doi: 10.3217/jucs-016-12 Google Scholar
  10. 10.
    Hervás R, Bravo J (2011) Towards the ubiquitous visualization: adaptive user-interfaces based on the semantic Web. Interact Comput 23(1):40–56. doi: 10.1016/j.intcom.2010.08.002 Google Scholar
  11. 11.
    Hervas R, Bravo J (2010) COIVA: Context-aware and Ontology-powered information visualization architecture. Software Pract Exper (In press) doi: 10.1002/spe.1011
  12. 12.
    Vuolle M, Tiainen M, Kallio T, Vainio T, Kulju M, Wigelius H (2008) Developing a questionnaire for measuring mobile business service experience. In: International conference on HCI with mobile devices and services. New York, NY, USAGoogle Scholar

Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  1. 1.Technologies & Information Systems DepartmentCastilla-La Mancha UniversityCiudad RealSpain

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