Abstract
The aims of the TheRoute (Tourism and Heritage Routes including Ambient Intelligence with Visitants’ Profile Adaptation and Context Awareness) project is to conduct studies, research and experimentation around the challenge of automatic generation of routes for visitors. The suggested routes fit the profile of visitors and groups of visitors, including aspects like emotion, mood and personality, and be aware of the context (e.g. weather, security). TheRoute is developed according the Ambient Intelligence perspective. At this point of the project execution we have already developed the full system architecture as a System of Systems approach according to an Ambient Intelligence perspective, to allow the best possible performance in the system utilization for the final user. Intelligent route generation uses user preferences for the categories of points of interest, as well as their personality traits.
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References
Borras, J., Moreno, A., Valls, A.: Intelligent tourism recommender systems: a survey. Expert Syst. Appl. 41(16), 7370–7389 (2014)
Dickinson, J.E., Ghali, K., Cherrett, T., Speed, C., Davies, N., Norgate, S.: Tourism and the smartphone app: capabilities, emerging practice and scope in the travel domain. Curr. Issues Tour. 7(1), 84–101 (2014)
Gavalas, D., Konstantopoulos, C., Mastakas, K., Pantziou, G.: Mobile recommender systems in tourism. J. Netw. Comput. Appl. 39, 319–333 (2014)
Lamsfus, C., Wang, D., Alzua-Sorzabal, A., Xiang, Z.: Going mobile defining context for on-the-go travelers. J. Travel. Res. 54(6), 691–701 (2015)
Ricci, F.: Travel recommender systems. IEEE Intell. Syst. 17(6), 55–57 (2002)
Coelho, B., Martins, C., Almeida, A.: Adaptive tourism modeling and socialization system. In: Proceedings of the International Conference on Computational Science and Engineering, vol. 4, pp. 645–652 (2009)
Luz, N., Anacleto, R., Martins, C., Almeida, A., Lucas, J.P.: Lightweight tourism recommendation. Int. J. Web Eng. Technol. 9(2), 106–123 (2013)
Lucas, J.P., Luz, N., Moreno, M.N., Anacleto, R., Almeoida, A., Martins, C.: A hybrid recommendation approach for a tourism system. Expert Syst. Appl. 40(9), 3532–3550 (2013)
Kurata, Y., Hara, T.: CT-planner4: Toward a more user-friendly interactive day-tour planner. Information and communication technologies in tourism, pp. 73–86. Springer International Publishing (2014)
Borràs, J., Moreno, A., Valls, A., Ferré, M., Ciurana, E., Salvat, J., Anton-Clavé, S.: Uso de técnicas de inteligencia artificial para hacer recomendaciones enoturísticas personalizadas en la Provincia de Tarragona. In: Proceedings of the Congreso Nacional de Turismo y Tecnologías de la Información y las Comunicaciones, pp. 217–230 (2012)
Vansteenwegen, P., Souffriau, W., Berghe, G.V., Van Oudheusden, D.: The city trip planner: an expert system for tourists. Expert Syst. Appl. 38(6), 6540–6546 (2011)
Mínguez, I., Berrueta, D., Polo, L.: CRUZAR: An Application of Semantic. Cases on Semantic Interoperability for Information Systems Integration. In: Practices and Applications, no. 255 (2009)
Luberg, A., Tammet, T., Järv, P.: Smart city: A rule-based tourist recommendation system. In: Law, R., Fuchs, M., Ricci, F. (eds.) Information and communication technologies in tourism. Springer (2011)
Montejo-Ráez, A., Perea-Ortega, J.M., García-Cumbreras, M.A., Martínez-Santiago, F.: Otium: a web based planner for tourism and leisure. Expert Syst. Appl. 38(8), 10085–10093 (2011)
Sebastia, L., Garcia, I., Onaindia, E., Guzman, C.: e-Tourism: a tourist recommendation and planning application. Int. J. Artif. Intell. Tools 18(5), 717–738 (2009)
Meehan, K., Lunney, T., Curran, K., McCaughey, A.: Context-aware intelligent recommendation system for tourism. In: Proceedings of the IEEE International Conference on Pervasive Computing and Communications, pp. 328–331 (2013)
Yang, W.S., Hwang, S.Y.: iTravel: a recommender system in mobile peer-to-peer environment. J. Syst. Softw. 86(1), 12–20 (2013)
Ramos, C., Augusto, J.C., Shapiro, D.: Ambient intelligence—the next step for artificial intelligence. IEEE Intell. Syst. 23(2), 15–18 (2008)
Ramos, C.: An architecture for ambient intelligent environments. In: Proceedings of the 3rd Symposium of Ubiquitous Computing and Ambient Intelligence, pp. 30–38. Springer, Berlin, Heidelberg (2009)
Brostowe, J.: What is a Hybrid Mobile App?”, Telerik Developer Network (2015). https://developer.telerik.com/featured/what-is-a-hybrid-mobile-app/. Accessed 13 Dec 2017
Larson, L.M., Rottinghaus, P.J., Borgen, F.H.: Meta-analyses of big six interests and big five personality factors. J. Vocat. Behav. 61(2), 217–239 (2002)
Santos, R., Marreiros, G., Ramos, C., Neves, J., Bulas-Cruz, J.: Personality, emotion, and mood in agent-based model for group decision making. IEEE Intell. Syst. 26(6), 58–66 (2011)
Kahle, L.R., Matsuura, Y., Stinson, J.: Personality and personal values in travel destination. In: Ha, Y.-U., Yi, Y. (eds.) AP – Asia Pacific Advances in Consumer Research, vol. 6, p. 311 (2005)
Frew, E., Shaw, R.N.: The relationship between personality, gender, and tourism behavior. Tour. Manag. 20, 193–202 (1999)
Neidhardt, J., et al.: Eliciting the users’ unknown preferences. In: Proceedings of the 8th ACM Conference on Recommender Systems, pp. 309–312 (2014). http://dl.acm.org/citation.cfm?doid=2645710.2645767
Rammstedt, B., John, O.P.: Measuring personality in one minute or less: a 10-item short version of the big five inventory in English and German. J. Res. Pers. 41, 203–212 (2007)
Acknowledgments
We thank the Portuguese Foundation for Science and Technology (FCT), the Operational Programme of North Region of Portugal (PO-Norte), and the FEDER Programme, for the selection and support for the project TheRoute - Tourism and Heritage Routes including Ambient Intelligence with Visitants’ Profile Adaptation and Context Awareness (project reference SAICT/023447). We also thank Santander-Totta Bank (BST), from Portugal, and Federal Institute of Santa Catarina (IFSC), from Brazil, for the fellowships to several students involved in TheRoute. Finally we thank all the participants of the different partners of the project, from all the 8 schools of the Polytechnic of Porto (ISEP, ISCAP, ESE, ESMAE, ESTG, ESS, ESHT, and ESMAD), showing a really multidisciplinary project, and for DouroAzul, an enterprise that is the leader in the sector of river cruises in Portugal, and Polytechnic of Viana do Castelo (IPVC), from Portugal.
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Ramos, C. et al. (2019). A Context-Awareness Approach to Tourism and Heritage Routes Generation. In: Novais, P., et al. Ambient Intelligence – Software and Applications –, 9th International Symposium on Ambient Intelligence. ISAmI2018 2018. Advances in Intelligent Systems and Computing, vol 806. Springer, Cham. https://doi.org/10.1007/978-3-030-01746-0_2
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