Internet of Things and Ubiquitous Computing in the Tourism Domain

Living reference work entry


The introduction of mobile information services to the tourism domain has represented a radical change in the way tourists plan, enjoy, and reflect on their travel experience. The Internet of Things promises to represent the next big advancement. This corresponds to the possibility of distributing small pieces of interconnected technology in the environment and within objects for a more pervasive monitoring and personalization of how the tourism experience is consumed and for the creation of an extended interaction interface that supports a more direct engagement with the destination and its facilities, products, and services. For the tourism sector, these advancements open up novel scenarios of ubiquitous computing, for example, smart shop windows, digitally augmented showcases for handicrafts display, augmented itineraries that engage visitors with other means than smartphones and tablets for a more immersive experience, personalized souvenirs and smart gadgets, stationary information kiosks that automatically identify their users, mobile applications that are aware of which products, and places the tourist has already been in contact with. This chapter provides an overview of the enlarged ubiquitous computing capabilities enabled by the IoT technologies and illustrates possible applications in the tourism domain.


Ubiquitous computing Internet of Things Tourism services Distributed intelligence Tangible interaction Embodied interaction 


  1. Anastasiadou C, Vettese S (2019) “From souvenirs to 3D printed souvenirs”. Exploring the capabilities of additive manufacturing technologies in (re)-framing tourist souvenirs. Tour Manag 71:428–442CrossRefGoogle Scholar
  2. Anderson C (2008) The end of theory: the data deluge makes the scientific method obsolete. Wired Mag 16(7).
  3. Ardito C, Buono P, Desolda G, Matera M (2018) From smart objects to smart experiences: an end-user development approach. Int J Hum-Comput Stud 114:51–68CrossRefGoogle Scholar
  4. Atzori L, Iera A, Morabito G (2010) The internet of things: a survey. Comput Netw 54(15):2787–2805CrossRefGoogle Scholar
  5. Baltrunas L, Ludwig B, Peer S, Ricci F (2012) Context relevance assessment and exploitation in mobile recommender systems. Pers Ubiquit Comput 16(5):507–526CrossRefGoogle Scholar
  6. Birsak M, Musialski P, Wonka P, Wimmer M (2014) Automatic generation of tourist brochures. Comput Graphics Forum 33:449–458CrossRefGoogle Scholar
  7. Boes K, Borde L, Egger R (2015) The acceptance of NFC smart posters in tourism. In: Tussyadiah I, Inversini A (eds) Information and communication technologies in tourism 2015. Springer, Cham, pp 435–447Google Scholar
  8. Borrego-Jaraba F, Luque Ruiz I, Gómez-Nieto MA (2011) A NFC-based pervasive solution for city touristic surfing. Pers Ubiquit Comput 15(7):73–742CrossRefGoogle Scholar
  9. Callaway C, Not E, Stock O (2007) Report generation for post-visit summaries in museum environments. In: PEACH – intelligent interfaces for museum visits. Springer, Berlin, pp 71–92CrossRefGoogle Scholar
  10. Callaway C, Stock O, Dekoven E (2014) Experiments with mobile drama in an instrumented museum for inducing conversation in small groups. ACM Trans Interactive Intell Syst 4(1):1–39CrossRefGoogle Scholar
  11. Canadi M, Höpken W, Fuchs M (2010) Application of QR codes in online travel distribution. In: Gretzel U, Law R, Fuchs M (eds) Information and communication technologies in tourism 2010. Springer, Vienna, pp 137–148CrossRefGoogle Scholar
  12. Cavada D, Elahi M, Massimo D, Maule S, Not E, Ricci F, Venturini A (2018) Tangible tourism with the internet of things. In: Stangl B, Pesonen J (eds) Information and communication technologies in tourism 2018. Springer, Cham, pp 349–361Google Scholar
  13. Clarke I III (2001) Emerging value propositions for M-commerce. J Bus Strateg 18(2):133–148Google Scholar
  14. Desolda G, Ardito C, Matera M (2017) Empowering end users to customize their smart environments: model, composition paradigms, and domain-specific tools. ACM Trans Comput-Hum Interact 24(2):Article 12Google Scholar
  15. Dolnicar S (2008) Market segmentation in tourism. In: Woodside AG, Martin D (eds) Tourism management: analysis, behaviour and strategy. CAB International, Cambridge, pp 129–150CrossRefGoogle Scholar
  16. Egger R (2013) The impact of near field communication on tourism. J Hosp Tour Technol 4(2):119–133Google Scholar
  17. Fesenmaier DR, Kingsley I (1995) Travel information kiosks: an emerging communications channel for the tourism industry. J Travel Tour Mark 4(1):57–70CrossRefGoogle Scholar
  18. Ganti RK, Ye F, Lei H (2011) Mobile crowdsensing: current state and future challenges. IEEE Communications Magazine 49(11):32–39CrossRefGoogle Scholar
  19. Garcia I, Sebastia L, Onaindia E (2011) On the design of individual and group recommender systems for tourism. Expert Syst Appl 38(6):7683–7692CrossRefGoogle Scholar
  20. Gast MS (2014) Building applications with iBeacon: proximity and location services with bluetooth low energy. O’Really Media, Sebastopol, CAGoogle Scholar
  21. Grün C, Werthner H, Pröll B, Retschitzegger W,Schwinger W (2008) Assisting tourists on the move – an evaluation of mobile tourist guides. In: 2008 7th international conference on mobile business, pp 171–180Google Scholar
  22. Grabler F, Agrawala M, Sumner RW, Pauly M (2008) Automatic generation of tourist maps. ACM Trans Graph 27(3):Article 100Google Scholar
  23. Gubbi J, Buyya R, Marusic S, Palaniswami M (2013) Internet of things (IoT): a vision, architectural elements, and future directions. Futur Gener Comput Syst 29(7):164–1660CrossRefGoogle Scholar
  24. Guo Y, Liu H, Chai Y (2014) The embedding convergence of smart cities and tourism internet of things in China: an advance perspective. Adv Hosp Tour Res (AHTR) 2(1):54–69Google Scholar
  25. Han DI, Jung T, Gibson A (2013) Dublin AR: implementing augmented reality in tourism. In: Xiang Z, Tussyadiah I (eds) Information and communication technologies in tourism 2014. Springer, Cham, pp 511–523CrossRefGoogle Scholar
  26. Hardy R, Rukzio E (2008) Touch & interact: touch-based interaction of mobile phones with displays. In: Proceedings of the 10th international conference on Human computer interaction with mobile devices and services (MobileHCI ’08). ACM, pp 245–254Google Scholar
  27. Heath C, Luff P, Vom Lehn D, Hindmarsh J, Cleverly J (2002) Crafting participation: designing ecologies, configuring experiences. Vis Commun 1(1):9–33CrossRefGoogle Scholar
  28. Kubitza T, Schmidt A (2017) meSchup: a platform for programming interconnected smart things. IEEE Comput 55(11):38–49CrossRefGoogle Scholar
  29. Kubitza T, Pohl N, Dingler T, Schneegaß S, Weichel C, Schmidt A (2013) Ingredients for a new wave of Ubicomp products. IEEE Pervasive Comput Mag 12(3):5–8CrossRefGoogle Scholar
  30. Leung D, Law R, van Hoof H, Buhalis D (2013) Social media in tourism and hospitality: a literature review. J Travel Tour Mark 30(1–2):3–22CrossRefGoogle Scholar
  31. Marshall MT (2018) Interacting with heritage: on the use and potential of IoT within the cultural heritage sector. In: Proceedings of 2018 Fifth international conference on internet of things: systems, management and security, pp 15–22Google Scholar
  32. Marshall MT, Dulake N, Ciolfi L, Duranti D, Kockelkorn H, Petrelli D (2016a) Using tangible smart replicas as controls for an interactive museum exhibition. In: Proceedings of the TEI ’16: tenth international conference on tangible, embedded, and embodied interaction (TEI ’16). ACM, pp 159–167Google Scholar
  33. Marshall MT, Petrelli D, Dulake N, Not E, Marchesoni M, Trenti E, Pisetti A (2016b) Audio-based narratives for the trenches of World War I: Intertwining stories, places and interaction for an evocative experience. Int J Hum-Comput Stud 85:27–39CrossRefGoogle Scholar
  34. Massimo D, Ricci F (2018) Harnessing a generalised user behaviour model for next-POI recommendation. In: Proceedings of the 12th ACM conference on recommender systems (RecSys ’18). ACM, pp 402–406Google Scholar
  35. Massimo D, Elahi M, Ricci F (2017) Learning user preferences by observing user-items interactions in an IoT augmented space. In: Tkalcic M, Thakker D, Germanakos P, Yacef K, Paris C, Santos O (eds) Adjunct publication of the 25th conference on user modeling, adaptation and personalization (UMAP ’17), pp 35–40. ACMGoogle Scholar
  36. Ng A, Russel S (2000) Algorithms for inverse reinforcement learning. In: Proceedings of the seventeenth international conference on machine learning (ICML ’00), Morgan Kaufmann Publishers Inc. San Francisco, CA, 663–670Google Scholar
  37. Ng PC, She J, Park S (2017) Notify-and-interact: a beacon-smartphone interaction for user engagement in galleries. In: Proceedings of 2017 IEEE international conference on multimedia and expo (ICME), pp 1069–1074Google Scholar
  38. Not E (2019) Studying the information seeking preferences of participants to a large event. In: Proceedings of the 13th biannual conference of the Italian SIGCHI chapter: Designing the next interaction (CHItaly ’19). ACM, New YorkGoogle Scholar
  39. Not E, Petrelli D (2018) Blending customisation, context-awareness and adaptivity for personalised tangible interaction in cultural heritage. Int J Hum Comput Stud 114:3–19CrossRefGoogle Scholar
  40. Not E, Petrelli D (2019) Empowering cultural heritage professionals with tools for authoring and deploying personalised visitor experiences. User Model User-Adap Inter 29(1):67–120CrossRefGoogle Scholar
  41. Not E, Cavada D, Maule S, Pisetti A, Venturini A (2019) Digital augmentation of historical objects through tangible interaction. ACM J Comput Cult Herit 12(3):Article 18Google Scholar
  42. Not E, Zancanaro M, Marshall MT, Petrelli D, and Pisetti A (2017) Writing postcards from the museum: composing personalised tangible souvenirs. In: Proceedings of the 12th biannual conference on Italian SIGCHI Chapter (CHItaly ’17), Article 5. ACM, New York, pp 1–9Google Scholar
  43. O’Neill E, Thompson P, Garzonis S, Warr A (2007) Reach out and touch: using NFC and 2D barcodes for service discovery and interaction with mobile devices. In: LaMarca A, Langheinrich M, Truong KN (eds) Pervasive computing. Pervasive 2007. Lecture notes in computer science, vol 4480. Springer, Berlin/HeidelbergGoogle Scholar
  44. Ojala T, Kostakos V, Kukka H, Heikkinen T, Linden T, Jurmu M, Hosio S, Kruger F, Zanni D (2012) Multipurpose interactive public displays in the wild: three years later. Computer 45(5):42–49CrossRefGoogle Scholar
  45. Petrelli D, O’Brien S (2018) Phone vs. tangible in museums: a comparative study. In: Proceedings of the 2018 CHI conference on human factors in computing systems (CHI ’18). ACMGoogle Scholar
  46. Petrelli D, Marshall MT, O’Brien S, McEntaggart P, Gwilt I (2017) Tangible data souvenirs as a bridge between a physical museum visit and online digital experience. Pers Ubiquit Comput 21(2):281–295CrossRefGoogle Scholar
  47. Ricci F (2002) Travel recommender systems. IEEE Intelligent Systems 17(6):55–57Google Scholar
  48. Riekki J, Salminen T, Alakarppa I (2006) Requesting pervasive services by touching RFID tags. IEEE Pervasive Comput 5(1):40–46CrossRefGoogle Scholar
  49. Roxin A-M, Gaber J, Wack M, Nait-Sidi-Moh A (2007) Survey of wireless geolocation techniques. In: 2007 IEEE Globecom Workshops, Washington, DCGoogle Scholar
  50. Schierz PG, Schilke O, Wirtz BW (2010) Understanding consumer acceptance of mobile payment services: an empirical analysis. Electron Commer Res Appl 9(3):209-216CrossRefGoogle Scholar
  51. Shaer O, Hornecker E (2010) Tangible user interfaces: past, present, and future directions. Found Trends Hum–Comput Interact 3(1–2):1–137 (2010)Google Scholar
  52. Slack F, Rowley J (2002) Kiosks 21: a new role for information kiosks? Int J Inf Manag 22(1): 67–83CrossRefGoogle Scholar
  53. Stock O, Zancanaro M, Busetta P, Callaway C, Krueger A, Kruppa M, Kuflik T, Not E, Rocchi C (2007) Adaptive, intelligent presentation of information for the museum visitor in PEACH. User Model User-Adap Inter 17(3):257–304CrossRefGoogle Scholar
  54. van Doorn M, van Loenen E, de Vries AP (2008) Deconstructing ambient intelligence into ambient narratives: the intelligent shop window. In: Proceedings of the 1st international conference on Ambient media and systems (Ambi-Sys ’08), Article 8Google Scholar
  55. Weiser M (1993) Ubiquitous computing. Computer 26(10):71–72CrossRefGoogle Scholar
  56. Wolf K, Abdelhady E, Abdelrahman Y, Kubitza T, Schmidt A (2015) MeSch: Tools for interactive exhibitions. In: Proceedings of the conference on electronic visualisation and the Arts (EVA ’15). BCS Learning & Development Ltd., Swindon, 261–269Google Scholar
  57. Zanella A, Bui N, Castellani A, Vangelista L, Zorzi M (2014) Internet of things for smart cities. IEEE Internet Things J 1(1):22–32CrossRefGoogle Scholar

Authors and Affiliations

  1. 1.Intelligent Interfaces and Interaction Research UnitFondazione Bruno KesslerTrentoItaly
  2. 2.Suggesto S.r.l.TrentoItaly

Section editors and affiliations

  • Wolfram Höpken
    • 1
  1. 1.Institute of Digital TransformationUniversity of Applied Sciences Ravensburg-WeingartenWeingartenGermany

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