Abstract
Development of information and communication technologies together with growing popularity of e-tourism open boundaries for new concepts and approaches. Automated tours is one of such directions. There exist a number of approaches aimed at selecting a particular tour based on the analysis of certain parameters. In the paper, the authors consider an approach to generation of audio tours from available fragments based on the analysis of the context and tourists’ preferences. This makes it possible for the tours to be very flexible and adjustable “on-the-go” based on the tourist feedback or actions. The approach is evaluated through an experiment that has shown a high level of acceptance of the generated tours by people. Future work is aimed at implementation and evaluation of the feedback analysis to improve the system. It is suggested to replace explicit feedback with analysis of tourist’s actions like skipping some fragments or searching for more information.
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References
Smirnov, A., Shilov, N., Gusikhin, O.: Cyber-physical-human system for connected car-based e-tourism: approach and case study scenario. In: 2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2017 (2017)
Giuseppe, M., et al.: QRCODE and RFID integrated technologies for the enhancement of museum collections. In: Ioannides, M., M-T, N., Fink, E., Žarnić, R., Yen, A.-Y., Quak, E. (eds.) EuroMed 2014. LNCS, vol. 8740, pp. 759–766. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-13695-0_78
Li, R.Y.-C., Liew, A.W.-C.: An interactive user interface prototype design for enhancing on-site museum and art gallery experience through digital technology. Mus. Manag. Curatorsh. 30, 208–229 (2015)
Modsching, M., Kramer, R., Ten Hagen, K., Gretzel, U.: Effectiveness of mobile recommender systems for tourist destinations: a user evaluation. In: 2007 4th IEEE Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, pp. 663–668. IEEE (2007)
Ambrosino, G., Boero, M., Nelson, J.D., Romanazzo, M. (eds.): Infomobility Systems and Sustainable Transport Services. ENEA, Rome (2010)
Price, E.: Travel apps that can replace your tour guide. http://www.cntraveler.com/stories/2015-02-24/travel-apps-that-can-replace-your-tour-guide
Cowen, B.: A personal tour guide – almost everywhere – for $9.99 or less!. http://www.johnnyjet.com/2015/01/a-personal-tour-guide-almost-everywhere-for-9-99-or-less/
Smirnov, A., Shilov, N., Gusikhin, O.: Socio-cyberphysical system for proactive driver support: approach and case study. In: Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2015, pp. 289–295 (2015)
Smirnov, A., Kashevnik, A., Ponomarev, A., Shilov, N., Teslya, N.: Proactive recommendation system for m-tourism application. In: Johansson, B., Andersson, B., Holmberg, N. (eds.) BIR 2014. LNBIP, vol. 194, pp. 113–127. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11370-8_9
Gerhardt, T.: 3 Ways Multi-Modal Travel is Tricky for App Developers. http://mobilitylab.org/2015/03/10/3-ways-multi-modal-travel-is-tricky-for-app-developers/
Staab, S., et al.: Intelligent systems for tourism. IEEE Intell. Syst. 17, 53–66 (2002)
Hasuike, T., Katagiri, H., Tsubaki, H., Tsuda, H.: Interactive approaches for sightseeing route planning under uncertain traffic and ambiguous tourist’s satisfaction. In: Eto, H. (ed.) New Business Opportunities in the Growing E-Tourism Industry, pp. 75–96. IGI Global, Hershey (2015)
Dey, A.K.: Understanding and Using Context. Pers. Ubiquitous Comput. 5, 4–7 (2001)
Tomko, M., Chairs, K.R.W.: AGILE Workshop on Adaptation in Spatial Communication (2009)
Marzal, E., Ibanez, J., Sebastia, L., Onaindia, E.: Temporal goal reasoning for predictive performance of a tourist application. In: Proceedings of the 2nd Workshop on Artificial Intelligence and Internet of Things co-located with the 22nd European Conference on Artificial Intelligence (ECAI 2016), pp. 7–14. CEUR (2016)
Ghosh, A., Patel, Y., Sukhwani, M., Jawahar, C.V.: Dynamic Narratives for Heritage Tour. In: Hua, G., Jégou, H. (eds.) ECCV 2016. LNCS, vol. 9913, pp. 856–870. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-46604-0_59
Li, S., Duan, X., Bai, Y., Yun, C.: Development and application of intelligent tour guide system in mobile terminal. In: 2015 Seventh International Conference on Measuring Technology and Mechatronics Automation, pp. 383–387. IEEE (2015)
Oppermann, R., Specht, M.: A context-sensitive nomadic exhibition guide. In: Thomas, P., Gellersen, H.-W. (eds.) HUC 2000. LNCS, vol. 1927, pp. 127–142. Springer, Heidelberg (2000). https://doi.org/10.1007/3-540-39959-3_10
Sookhanaphibarn, K., Thawonmas, R.: A movement data analysis and synthesis tool for museum visitors’ behaviors. In: Muneesawang, P., Wu, F., Kumazawa, I., Roeksabutr, A., Liao, M., Tang, X. (eds.) PCM 2009. LNCS, vol. 5879, pp. 144–154. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-10467-1_12
Huang, H.-H., Cerekovic, A., Pandzic, I.S., Nakano, Y., Nishida, T.: Toward a multi-culture adaptive virtual tour guide agent with a modular approach. AI Soc. 24, 225–235 (2009)
Kramer, R., Modsching, M., Schulze, J., Hermkes, M., ten Hagen, K.: Context driven, adaptive tour computation and information presentation. In: First International Workshop on Managing Context Information in Mobile and Pervasive Environments (2005)
Hao, F., Li, S., Min, G., Kim, H.-C., Yau, S.S., Yang, L.T.: An efficient approach to generating location-sensitive recommendations in ad-hoc social network environments. IEEE Trans. Serv. Comput. 8, 520–533 (2015)
Smirnov, A.V., Kashevnik, A.M., Ponomarev, A.: Context-based infomobility system for cultural heritage recommendation: tourist assistant—TAIS. Pers. Ubiquitous Comput. 21, 297–311 (2017)
Smirnov, A., Kashevnik, A., Shilov, N., Teslya, N., Shabaev, A.: Mobile application for guiding tourist activities: tourist assistant - TAIS. In: Conference of Open Innovation Association, FRUCT, pp. 95–100 (2014)
Chelaramani, S., Muthireddy, V., Jawahar, C.V.: An Interactive tour guide for a heritage site. In: 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), pp. 2943–2952. IEEE (2017)
Di Bitonto, P., Roselli, T., Rossano, V., Monacis, L., Sinatra, M.: MoMAt: a mobile museum adaptive tour. In: 2010 6th IEEE International Conference on Wireless, Mobile, and Ubiquitous Technologies in Education, pp. 156–160. IEEE (2010)
Sammut, C., Webb, G.I. (eds.): Encyclopedia of Machine Learning. Springer, Boston (2010)
Acknowledgements
The paper is partially due to the project sponsored by the Ford University Research Program, State Research # 0073-2018-0002, and projects funded by grants # 18-07-01201 and 17-29-03284 of the Russian Foundation for Basic Research. The work has been also partially financially supported by the Government of Russian Federation, Grant 08-08.
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Shilov, N., Kashevnik, A., Mikhailov, S. (2018). Context-Aware Generation of Personalized Audio Tours: Approach and Evaluation. In: Karpov, A., Jokisch, O., Potapova, R. (eds) Speech and Computer. SPECOM 2018. Lecture Notes in Computer Science(), vol 11096. Springer, Cham. https://doi.org/10.1007/978-3-319-99579-3_63
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