User-Aware Comfort in Retail Environments

  • Nicola Bicocchi
  • Stephan Boese
  • Giacomo CabriEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11939)


A retail environment can be thought as an environment where customers can buy products, goods or services. The user-experience in physical retail environments is important not only for facilitating the selling of goods and services, but also for providing satisfaction and appealing to retain customers over the long term. The user-experience can be enhanced by adapting aspects of the physical environment such as music, colour, fragrance to the tastes of the customers.

In this paper we propose a user-aware approach to adapt physical aspects of a retail environment in order to improve the perceived comfort level. We introduce a model of the user context, which can be used both for representing information about the customers and for driving the adaptation of the environment. The proposed decision system is based on a microservice architecture providing both modularity and flexibility. Real-world examples are also used to show applications of the approach.


User-awareness Customer comfort Software services 



This work was supported by the EU H2020 program under Grant No. 734599 - FIRST project.


  1. 1.
    Bauer, C., Garaus, M., Strauss, C., Wagner, U.: Research directions for digital signage systems in retail. Proc. Comput. Sci. 141, 503–506 (2018)CrossRefGoogle Scholar
  2. 2.
    Betzing, J.H., Beverungen, D., Becker, J.: Design principles for co-creating digital customer experience in high street retail. In: Proceedings of the Multikonferenz Wirtschaftsinformatik, MKWI 2018 (2018)Google Scholar
  3. 3.
    Bicocchi, N., Cabri, G., Mandreoli, F., Mecella, M.: Dealing with data and software interoperability issues in digital factories. In: Transdisciplinary Engineering Methods for Social Innovation of Industry 4.0: Proceedings of the 25th ISPE Inc. International Conference on Transdisciplinary Engineering, 3–6 July 2018, vol. 7, p. 13. IOS Press (2018)Google Scholar
  4. 4.
    Bicocchi, N., Cabri, G., Mandreoli, F., Mecella, M.: Dynamic digital factories for agile supply chains: an architectural approach. J. Ind. Inf. Integr. 15, 111–121 (2019)Google Scholar
  5. 5.
    Bicocchi, N., Leonardi, L., Zambonelii, F.: Software-intensive systems for smart cities: from ensembles to superorganisms. In: De Nicola, R., Hennicker, R. (eds.) Software, Services, and Systems. LNCS, vol. 8950, pp. 538–551. Springer, Cham (2015). Scholar
  6. 6.
    Cabri, G., Leoncini, M., Martoglia, R., Zambonelli, F.: Towards user-aware service composition. In: Vinh, P., Barolli, L. (eds.) ICTCC 2016. LNICST, vol. 168, pp. 11–21. Springer, Cham (2016). Scholar
  7. 7.
    Chiang, H.H., et al.: Development of smart shopping carts with customer-oriented service. In: 2016 International Conference on System Science and Engineering (ICSSE), pp. 1–2. IEEE (2016)Google Scholar
  8. 8.
    Cho, J., Sundaresan, K., Mahindra, R., Van der Merwe, J., Rangarajan, S.: ACACIA: context-aware edge computing for continuous interactive applications over mobile networks. In: Proceedings of the 12th International on Conference on Emerging Networking EXperiments and Technologies, pp. 375–389. ACM (2016)Google Scholar
  9. 9.
    Karpey, D., Pender, M.: Customer identification through voice biometrics. US Patent 9,396,730, 19 July 2016Google Scholar
  10. 10.
    Lamche, B., Rödl, Y., Hauptmann, C., Wörndl, W.: Context-aware recommendations for mobile shopping. In: LocalRec@ RecSys, pp. 21–27 (2015)Google Scholar
  11. 11.
    Meyer, M., Helmholz, P., Robra-Bissantz, S.: Digital transformation in retail: can customer value services enhance the experience? (2018)Google Scholar
  12. 12.
    Schaub, F., Könings, B., Weber, M.: Context-adaptive privacy: leveraging context awareness to support privacy decision making. IEEE Pervasive Comput. 14(1), 34–43 (2015)CrossRefGoogle Scholar
  13. 13.
    Uddin, I., Rakib, A., Haque, H.M.U., Vinh, P.C.: Modeling and reasoning about preference-based context-aware agents over heterogeneous knowledge sources. Mobile Netw. Appl. 23(1), 13–26 (2018)CrossRefGoogle Scholar
  14. 14.
    Zambonelli, F.: Toward sociotechnical urban superorganisms. Computer 45(8), 76–78 (2012)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Università di Modena e Reggio EmiliaModenaItaly
  2. 2.GK SoftwareSchöneckGermany

Personalised recommendations