Abstract
The Internet of Things (IoT) is part of a new paradigm where it is possible to integrate every sensor to the Internet, allowing it to be even more immersive and pervasive. Mastering these technologies, such as pervasive and smart places, is a challenge, especially when the goal is to achieve a closer interaction between citizens and applications. The rapid development and exciting innovation create an opportunity to stimulate a variety of new tools for tourists. Taking into account the versatility of IoT sensors for different applications, in this position paper we outline our perspective of ambient intelligence in smart tourism.
F. Gonçalves and J. C. Ferreira—Both authors contributed equally to this work.
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References
Bardram, J.E., Doryab, A.: Activity analysis: applying activity theory to analyze complex work in hospitals. In: CSCW, Hangzhou, China (2011)
Cook, D., Augusto, J., Jakkula, V.: Ambient Intelligence: technologies, applications, and opportunities. Perv. Mob. Comput. 5, 277–298 (2009)
Dibitonto, M.: New Challenges in HCI: Ambient Intelligence for Human Performance Improvement (2011)
Friedewald, M., Costa, O., Punie, Y., Alahuhta, P., Hienonen, S.: Perpectives of ambient intelligence in the home environment. Telemat. Inform. 22, 221–238 (2005)
Aarts, E., Marzano, S.: The new Everyday: Views on Ambient Intelligence. 010 Publishers, Rotterdam (2003)
Weiser, M.: The computer for the twenty-century. Sci. Am. 265, 94–104 (1991)
Hopper, A.: Satient Computing. University of Cambridge (1999)
Pantic, M.: Face for ambient Intelligence. In: Cai, Y., Abascal, J. (eds.) Ambient Intelligence in Everyday Life, pp. 32–66. Springer, Heidelberg (2006). https://doi.org/10.1007/11825890
Nakatsu, R.: Integration of multimedia and art for new human-interaction communications. In: Proceedings of the Pacific Rim International Conference of Artificial Intelligence (2002)
Xu, R., et al.: Speaker identification and speech recognition using phased arrays. In: Cai, Y., Abascal, J. (eds.) Ambient Intelligence in Everyday Life. LNCS, vol. 3864, pp. 227–238. Springer, Heidelberg (2006). https://doi.org/10.1007/11825890_11
Ge, S., Yang, Y., Lee, T.: Hand gesture recognition and tracking based on distributed locally linear embedding. Image Vis. Comput. 26, 1607–1620 (2008)
Boes, K., Buhalis, D., Inversini, A.: Conceptualising smart tourism destination dimensions. In: Tussyadiah, I., Inversini, A. (eds.) Information and Communication Technologies in Tourism, pp. 391–403. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-14343-9_29
Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M.: Internet of Things (IoT): a vision, architectural elements, and future directions. Future Gen. Comput. Syst. 29, 1645–1660 (2013)
Talari, S., Shafie-khah, P., Siano, P., Loia, V., Tommasetti, A., Catalão, P.: A review of smart cities based on the Internet of Things concept. Energies 10, 421 (2017)
Columbus, L.: Internet of Things Market To Reach $267B By 2020 (2017). https://www.forbes.com/sites/louiscolumbus/2017/01/29/internet-of-things-market-to-reach-267b-by-2020/#674325d5609b
Gruman, G.: Beacons are Harder to Deploy than You Think. http://www.infoworld.com/article/2983166/bluetooth/beacons-are-harder-to-deploy-than-you-think.html
Nield, D.: IBeacon Technology Powers a New Smart Public Transport Project in Bucharest. http://www.gizmag.com/ibeacon-smart-public-transport-bucharest/37901/
Gomez, C., Oller, J., Paradells, J.: Overview and evaluation of bluetooth low energy: an emerging low-power wireless technology. Sensors 12, 11734–11753 (2012)
A. Inc: Getting Started with IBeacons. https://developer.apple.com/ibeacon/Getting-Started-with-iBeacon.pdf
Gretzel, U., Sigala, M., Xiang, Z.: Smart tourism: foundations and developments. Electron. Mark. 25, 179–188 (2015)
Gretzel, U., Werthner, H., Koo, C., Lamsfus, C.: Conceptual foundations for understanding smart tourism ecosystems. Comput. Hum. Behav. 50, 558–563 (2015)
Samsonov, P., Heller, F., Schöning, J.: Autobus: selection of passenger seats based on viewing experience for touristic tours. In: MUM, Stuttgart, Germany (2017)
Poon, A.: Tourism, Technology and Competitive Strategies. CAB, Wallingford (1993)
Xiang, Z.: From digitization to the age of acceleration: on information technology and tourism. Tour. Manag. Perspect. 25, 147–150 (2018)
Fuchs, M., Höpken, W., Lexhagen, M.: Big data analytics for knowledge generation in tourism destinations – a case from Sweden. J. Destin. Mark. Manag. 3, 198–209 (2014)
Pries, K., Dunnigan, R.: Big Data Analytics: A Practical Guide for Managers. CRC Press, Boca Raton (2015)
Song, H., Liu, H.: Predicting tourist demand using big data. In: Xiang, Z., Fesenmaier, D.R. (eds.) Analytics in Smart Tourism Design, Concepts and Methods. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-44263-1
Ballagas, R., et al.: REXplorer: a mobile, pervasive spell-casting game for tourists. In: CHI 2007 Extended Abstracts on Human Factors in Computing Systems (2007)
Schöning, J., Hecht, B., Starosielski, N.: Evaluating automatically generated location-based stories for tourists. In: CHI 2008 Extended Abstracts on Human Factors in Computing Systems (2008)
Marshall, P., Morris, R., Rogers, Y., Kreitmayer, S.: Rethinking ‘multi-user’: an in-the-wild study of how groups approach a walk-up-and-use tabletop interface. In: CHI 2011 Proceedings of the 29th Annual ACM Conference on Human Factors in Computing Systems (2011)
Zhang, L., Sun, X.: Designing a trip planner application for groups: exploring group tourists? Trip planning requirements. In: CHI 2016 Extended Abstracts on Human Factors in Computing Systems (2016)
Potter, L., Carter, L., Coghlan, A.: Virtual Reality and nature based tourism: an opportunity for operators and visitors. In: OzCHI 2016 Proceedings of the 28th Australian Conference on Computer-Human Interaction, Launceston, Tasmania, Australia (2016)
Khan, M.S., Woo, M., Nam, K., Chathoth, P.K.: Smart city and smart tourism: a case of Dubai. Sustainability 9, 2279 (2017)
Baeta, N., Fernandes, A., Ferreira, J.: Tracking users mobility at public transportation. In: Bajo, J., et al. (eds.) PAAMS 2016. CCIS, vol. 616, pp. 224–235. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-39387-2_19
Chiu, J.P., Nichols, E.: Named entity recognition with bidirectional LSTM-CNNs. Trans. Assoc. Comput. Linguist. 4, 357–370 (2016)
Ribeiro, R., Matos, D.: Revisiting centrality-as-relevance: support sets and similarity as geometric proximity. J. Artif. Intell. Res. 42, 275–308 (2011)
Li, Q., Shah, S., Fang, R., Nourbakhsh, A., Liu, X.: Tweet sentiment analysis by incorporating sentiment-specific word embedding and weighted text features. In: Web Intelligence, 2016 IEEE/WIC/ACM International Conference, pp. 568–571. IEEE (2016)
Ekman, P., Friesen, W.: Constants across cultures in the face and emotion. J. Pers. Soc. Psychol. 17, 124 (1971)
Jain, V.K., Kumar, S., Fernandes, S.L.: Extraction of emotions from multilingual text using intelligent text processing and computational linguistics. J. Comput. Sci. 21, 316–326 (2017)
G. IT: Context-Aware Computing. http://www.gartner.com/it-glossary/context-aware-computing-2/
Elam, J.J., Mead, M.: Can software influence creativity? Inf. Syst. Res. 1, 1–22 (1990)
Gross, M., Yi-Luen Do, E.: Educating the new makers: cross-disciplinary creativity. Leonardo J. Int. Soc. Arts Sci. Technol. 42, 210–215 (2009)
Hegde, R., Walia, G.: How to enhance the creativity of software. In: Proceedings of the 26th IEEE International Conference on Software Engineering and Knowledge Engineering, Vancouver, Canada (2014)
Shneiderman, B.: Leonardo’s Laptop: Human Needs and the New Computing Technologies. MIT Press, Cambridge (2002)
Engeström, Y.: Learning by Expanding: An Activity Theoretical Approach to Development Research. Orienta-Konsultit, Helsinki (1987)
Jeong, J., Kim, M., Yoo, K.: A content oriented smart education system based on cloud computing. Int. J. Multimed. Ubiquit. Eng. 8, 313–328 (2013)
Ferreira, J.C., Porfírio, F.: Towards an academic social network for Bologna Process In: Proceedings of the International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE 2009), December 2009
Kinshunk, S., Sutinen, E., Goh, T.: Mobile technologies in support of distance learning. Asian J. Distance Educ. 1, 60–68 (2003)
Revisiting Centrality-as-Relevance: Support Sets and Similarity as Geometric Proximity
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Gonçalves, F., Ferreira, J.C., Campos, P. (2019). Improving the Tourists’ Experience. In: Barricelli, B., et al. Human Work Interaction Design. Designing Engaging Automation. HWID 2018. IFIP Advances in Information and Communication Technology, vol 544. Springer, Cham. https://doi.org/10.1007/978-3-030-05297-3_4
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