PERSONAL SHOPPING SUPPORT FROM DIGITAL PRODUCT MEMORIES

Alexander Kröner, Patrick Gebhard, Boris Brandherm, Benjamin Weyl, Jörg Preißinger, Carsten Magerkurth, Selcuk Anilmis

Abstract

Auto-ID as well as traditional identification technologies such as barcodes allow for linking physical products with digital data. Thus products become “smart items”, which may contribute to the consumer's retail experience in future retail environments. In this article, we discuss how digital assistants can utilize so-called digital product memories for personalized support during tasks typically for the interaction between consumer and product. A demonstration system allowed participants of an IT fair to explore various approaches to personalized support on the basis of this technology in a storyline spanning several spaces, some of them public, some private. Feedback gathered from 132 visitors indicates that this kind of support is in general perceived well; however, it also emphasizes the diversity of people's interest in interaction metaphors and means of privacy protection.

References

  1. Brandherm, B. et al., 2010. Roles and Rights Management Concept With Identification by Electronic Identity Card. In Proc. of PerCom-2010, IEEE Computer Society, 768-771.
  2. Cattell, R. B., 1969. The profile similarity coefficient, rp, in vocational guidance and diagnostic classification. The British Journal of Educational Psychology 39, 131-142.
  3. Google Mobile Labs, 2010. Goggles for Android. http://www.google.com/mobile/goggles/, accessed on September 3, 2010.
  4. Horovitz, B., 2009. Tracking deliveries of all kinds is on everyone's radar. USA Today, http://www.usatoday .com/money/media/2009-07-26-pizza-productstracking_N.htm, accessed on October 27, 2009.
  5. Janzen, S., and Maass, W., 2008. CoRA - Interactive Communication with Smart Products. In Proc. of the 2nd European Workshop on Smart Products: Building Blocks of Ambient Intelligence (AmI-Blocks'08), 9-15.
  6. Kröner, A. et al., 2010a. Demonstrating the Application of Digital Product Memories in a Carbon Footprint Scenario. In Proc. of IE 2010, IEEE Computer Society (2010), 164-169.
  7. Kröner, A. et al., 2010b. W3C Object Memory Modeling Incubator Group. World Wide Web Consortium, http://www.w3.org/2005/Incubator/omm/, accessed on January 10, 2011.
  8. Miche, M. et al., 2009. Core Services for Smart Products. In Proc. of the 3rd European Workshop on Smart Products: Building Blocks of Ambient Intelligence (AmI-Blocks'09).
  9. Ngai, E.W.T. et al., 2008. RFID research: An academic literature review (1995-2005) and future research directions. International Journal of Production Economics 112, 2, 510-520.
  10. von Reischach, F., Guinard, D., Michahelles, F., Fleisch., E., 2010. A mobile product recommendation system interacting with tagged products. In Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications (PERCOM 7809). IEEE Computer Society, Washington, DC, USA, 1-6 RTM, 2011. Remember The Milk: Online to do list and task management, http://www.rememberthemilk.com/, accessed on January 10, 2011.
  11. Roussos, G. et al., 2002. A case study in pervasive retail. In Proc. of the 2nd international Workshop on Mobile Commerce (WMC 7802), ACM Press, 90-94.
  12. Schneider, M., 2007. Towards a General Object Memory. In UbiComp 2007 Workshop Proceedings, 307-312.
  13. Schöllermann, T. et al., 2010. Schlüsselerlebnis: NFC im BMW Key als Schlüssel für ein neues Mobilitätserlebnis. Elektronik Automotive 1+2, 40-43.
  14. Spiekermann, S., 2007. Privacy Enhancing Technologies for RFID in Retail - An Empirical Investigation. In Proc. of UbiComp 2007, Springer, LNCS 4717, 56-72.
  15. Steffen, R. et al., 2010. Near Field Communication (NFC) in an Automotive Environment - Use Cases, Architecture and Realization. In Proc. of the 2nd international IEEE Workshop on Near Field Communication, Monaco, 15-20.
  16. Stephan, P. et al., 2010. Product-Mediated Communication through Digital Object Memories in Heterogeneous Value Chains. In Proc. of PerCom2010, IEEE Computer Society, 199-207.
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Paper Citation


in Harvard Style

Kröner A., Gebhard P., Brandherm B., Weyl B., Preißinger J., Magerkurth C. and Anilmis S. (2011). PERSONAL SHOPPING SUPPORT FROM DIGITAL PRODUCT MEMORIES . In Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PECCS, ISBN 978-989-8425-48-5, pages 64-73. DOI: 10.5220/0003368200640073


in Bibtex Style

@conference{peccs11,
author={Alexander Kröner and Patrick Gebhard and Boris Brandherm and Benjamin Weyl and Jörg Preißinger and Carsten Magerkurth and Selcuk Anilmis},
title={PERSONAL SHOPPING SUPPORT FROM DIGITAL PRODUCT MEMORIES },
booktitle={Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PECCS,},
year={2011},
pages={64-73},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003368200640073},
isbn={978-989-8425-48-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PECCS,
TI - PERSONAL SHOPPING SUPPORT FROM DIGITAL PRODUCT MEMORIES
SN - 978-989-8425-48-5
AU - Kröner A.
AU - Gebhard P.
AU - Brandherm B.
AU - Weyl B.
AU - Preißinger J.
AU - Magerkurth C.
AU - Anilmis S.
PY - 2011
SP - 64
EP - 73
DO - 10.5220/0003368200640073