Context-Driven Heterogeneous Interface Selection for Smart City Applications

  • Inna SosunovaEmail author
  • Arkady Zaslavsky
  • Alexey Matvienko
  • Oleg Sadov
  • Petr Fedchenkov
  • Theodoros Anagnostopoulos
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11118)


With the diversity and variety of devices and interface modalities these devices offer, the choice of the right interface is still a significant research challenge. We propose a method of Context-driven Heterogeneous Interface Selection for Smart City Applications, which is based on context-driven and situation-aware modality selection mechanism. The method involves the use of a user model, a device model, and an environment model as an adaptation mechanism and a mechanism for selecting an appropriate modality or combination of modalities. Several scenarios of the functioning of the system are described. A series of tests was conducted for each scenario. Tests results are also given in the article. Benefits of the proposed approach are discussed and demonstrated.


Heterogeneous interface Knowledge representation Context awareness Smart city Waste management 



Part of this work has been carried out in the scope of the project bIoTope which is co-funded by the European Commission under Horizon-2020 program, contract number H2020-ICT-2015/ 688203 – bIoTope. The research has been carried out with the financial support of the Ministry of Education and Science of the Russian Federation under grant agreement RFMEFI58716X0031.


  1. 1.
    Zanella, A., Bui, N., Castellani, A.V.L.: Internet of Things for smart cities. Internet Things J. 1(2), 22–32 (2014)CrossRefGoogle Scholar
  2. 2.
    Karpov, A.A.: Assistive information technologies based on audio-visual speech interfaces. In: SPIIRAS Proceedings, vol. 27, pp. 114–128 (2013)CrossRefGoogle Scholar
  3. 3.
    The bIoTope Project Webpage [Electronic resource].
  4. 4.
    Sakai, S., Yoshida, H., Hirai, Y.: International comparative study of 3R and waste management policy developments. J. Mater. Cycles Waste Manag. 13, 86–102 (2011)CrossRefGoogle Scholar
  5. 5.
    Anagnostopoulos, T., et al.: Challenges and opportunities of waste management in IoT-enabled smart cities: a survey. IEEE Trans. Sustain. Comput. 2(3), 275–289 (2017)CrossRefGoogle Scholar
  6. 6.
    Dey, A.K., Abowd, G.D.: Towards a better understanding of context and context-awareness. Comput. Syst. 40(3), 304–307 (1999)Google Scholar
  7. 7.
    Alnanih, R., Ormandjieva, O., Radhakrishnan, T.: Context-based and rule-based adaptation of mobile user interfaces in mHealth. Procedia Comput. Sci. 21, 390–397 (2013)CrossRefGoogle Scholar
  8. 8.
    Zouhaier, L., Yousra, B.H., Ben Ayed, L.J.: Building adaptive accessible context-aware for user interface tailored to disable users. In: Proceedings of International Computer Software and Applications Conference, pp. 157–162 (2013)Google Scholar
  9. 9.
    Macik, M.: Automatic User Interface Generation Doctoral Thesis, 173 p (2016)Google Scholar
  10. 10.
    SWM-DomainOntology [Electronic resource].
  11. 11.
    Sosunova, I., Zaslavsky, A., Anagnostopoulos, T., Fedchenkov, P., Sadov, O., Medvedev, A.: SWM-PnR: ontology-based context-driven knowledge representation for IoT-enabled waste management. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds.) NEW2AN/ruSMART/NsCC -2017. LNCS, vol. 10531, pp. 151–162. Springer, Cham (2017). Scholar
  12. 12.
    Sosunova, I., Zaslavsky, A., Anagnostopoulos, T., Medvedev, A., Khoruzhnikov, S., Grudinin, V.: Ontology-based voice annotation of data streams in vehicles. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds.) ruSMART 2015. LNCS, vol. 9247, pp. 152–162. Springer, Cham (2015). Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Inna Sosunova
    • 1
    Email author
  • Arkady Zaslavsky
    • 2
    • 1
  • Alexey Matvienko
    • 3
  • Oleg Sadov
    • 1
  • Petr Fedchenkov
    • 1
  • Theodoros Anagnostopoulos
    • 4
    • 1
  1. 1.Department of Infocommunication TechnologiesITMO UniversitySt.-PetersburgRussia
  2. 2.Digital Data61, CSIROClayton SouthAustralia
  3. 3.Special Technology CenterSt.-PetersburgRussia
  4. 4.Research and Education, Ordnance SurveySouthamptonUK

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