Abstract
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.
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References
Zanella, A., Bui, N., Castellani, A.V.L.: Internet of Things for smart cities. Internet Things J. 1(2), 22–32 (2014)
Karpov, A.A.: Assistive information technologies based on audio-visual speech interfaces. In: SPIIRAS Proceedings, vol. 27, pp. 114–128 (2013)
The bIoTope Project Webpage [Electronic resource]. http://www.biotope-project.eu/
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)
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)
Dey, A.K., Abowd, G.D.: Towards a better understanding of context and context-awareness. Comput. Syst. 40(3), 304–307 (1999)
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)
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)
Macik, M.: Automatic User Interface Generation Doctoral Thesis, 173 p (2016)
SWM-DomainOntology [Electronic resource]. http://sdn.naulinux.ru:8128/SPB/swm-ontology.owl
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). https://doi.org/10.1007/978-3-319-67380-6_14
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). https://doi.org/10.1007/978-3-319-23126-6_14
Acknowledgements
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.
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Sosunova, I., Zaslavsky, A., Matvienko, A., Sadov, O., Fedchenkov, P., Anagnostopoulos, T. (2018). Context-Driven Heterogeneous Interface Selection for Smart City Applications. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN ruSMART 2018 2018. Lecture Notes in Computer Science(), vol 11118. Springer, Cham. https://doi.org/10.1007/978-3-030-01168-0_3
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