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exhiSTORY: Smart Self-organizing Exhibits

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Big Data Platforms and Applications

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Abstract

Creating stories for exhibitions is a fascinating and in parallel laborious task. As every exhibition is designed to tell a story, museum curators are responsible for identifying, for each exhibit, its aspects that fit to the message of the story and position the exhibit at the right place in the story thread. In this context, we analyze how the technological advances in the fields of sensors and Internet of Things can be utilized in order to construct a “smart space,” which consists of self-organizing exhibits that cooperate with each other and provide visitors with comprehensible, rich, diverse, personalized, and highly stimulating experiences. We present the system named “exhiSTORY” that intends to provide the appropriate infrastructure to be used in museums and places where exhibitions are held in order to support smart exhibits. The architecture of the system and its application potential is presented and discussed.

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Notes

  1. 1.

    Google Inc. http://google.com.

  2. 2.

    Arduino: https://www.arduino.cc/.

  3. 3.

    BeagleBord: http://beagleboard.org/.

  4. 4.

    Raspberry Pi: https://www.raspberrypi.org/.

References

  1. Antoniou A, Lykourentzou I, Rompa J, Tobias E, Lepouras G, Vassilakis C, Naudet Y (2014) User profiling: towards a Facebook game that reveals cognitive style. In: Proceedings of the second international conference on games and learning alliance. LNCS, vol 8605. Springer International Publishing, pp 349–353

    Google Scholar 

  2. Bampatzia S, Bourlakos I, Antoniou A, Vassilakis C, Lepouras G, Wallace M (2016) Serious games: valuable tools for cultural heritage. In: Games and learning alliance conference (GALA 2016), December 5–8. The Netherlands, Utrecht

    Google Scholar 

  3. Bampatzia S, Bravo-Quezada OG, Antoniou A, Lopez Nores M, Wallace M, Lepouras G, Vasilakis C (2016) The use of semantics in the CrossCult H2020 project. In: 2nd international KEYSTONE conference (IKC 2016), Cluj-Napoca Romania, 8–9 September

    Google Scholar 

  4. Brachmann F (2012) A comparative analysis of standardized technologies for providing indoor geolocation functionality. In: Proceedings of the 13th IEEE international symposium on computational intelligence and informatics, pp 127–130

    Google Scholar 

  5. Broadbent J, Marti P (1997) Location aware interactive guides: usability issues. In: Proceedings of ICHIM 97, Paris, September 1997. https://pdfs.semanticscholar.org/2334/91cb0441914a3874d21d0258d98bc29c28b5.pdf. Accessed 28 June 2017

  6. Bröring A, Datta SK, Bonnet C (2016) A categorization of discovery technologies for the internet of things. In: Proceedings of the 6th international conference on the internet of things (IoT’16). ACM, New York, NY, USA, pp 131–139. https://doi.org/10.1145/2991561.2991570

  7. Cataloguing Cultural Objects Commons (2017) What is CCO? http://cco.vrafoundation.org/index.php/aboutindex/. Accessed 3 February 2017

  8. Chianese A, Piccialli F, Valente I (2015) Smart environments and cultural heritage: a novel approach to create intelligent cultural spaces. J Locat Based Serv 9(3):209–234

    Article  Google Scholar 

  9. Chianese A, Piccialli F (2014) Designing a smart museum: when cultural heritage joins IoT. In: Proceedings of the eighth international conference on next generation mobile applications, services and technologies. https://doi.org/10.1109/NGMAST.2014.21

  10. Collections Trust (2011) The SPECTRUM Standard, v4.0. http://collectionstrust.org.uk/resource/the-spectrum-standard-v4-0/. Accessed 3 February 2017

  11. de Freitas AA, Nebeling M, Chen XA, Yang J, Ranithangam ASKK, Dey AK (2016) Snap-to-it: a user-inspired platform for opportunistic device interactions. In: Proceedings of the 2016 CHI conference on human factors in computing systems (CHI’16). ACM, New York, NY, USA, pp 5909–5920. https://doi.org/10.1145/2858036.2858177

  12. Diana ad Callisto. https://www.nationalgallery.org.uk/paintings/titian-diana-and-callisto. Accessed 18 August 2017

  13. Facebook (2017) Facebook interest targeting. https://www.facebook.com/help/188888021162119. Accessed 28 June 2017

  14. FlashAir Config, Network mode. https://flashair-developers.com/en/documents/api/config/#APPMODE. Accessed 28 June 2017

  15. Gabrielli F, Marti P, Petroni L (1999) The environment as interface. In: Proceedings of the i3 annual conference: community of the future, October 20–22, Siena, pp 44–47

    Google Scholar 

  16. Google ads settings. https://www.google.com/settings/u/0/ads/authenticated. Accessed 28 June 2017 (prior login to a Google account is required)

  17. Hashemi SH, Hupperetz W, Kamps J, van der Vaart M (2016) Effects of position and time bias on understanding onsite users’ behavior. In: Proceedings of the 2016 ACM on conference on human information interaction and retrieval (CHIIR’16). ACM, New York, NY, USA, pp 277–280. http://dx.doi.org/10.1145/2854946.2855004

  18. Hatala M, Wakkary R (2005) Ontology-based user modeling in an augmented audio reality system for museums. User Model User-Adapt Interact 15:339–380. https://doi.org/10.1007/s11257-005-2304-5

    Article  Google Scholar 

  19. Hatthasin U, Vibhatavanij K, Worasawate D (2007) One base station approach for indoor geolocation system using RFID. In: Proceedings of Asia-Pacific microwave conference. https://doi.org/10.1109/APMC.2007.4554642

  20. Houlberg Rung M (2016) Thoughts about an exhibition—using materiality and sensuousness as a narrative device. https://goo.gl/rpjjky. Accessed 28 January 2017

  21. Hudson-Smith A, Gray S, Ross C, Barthel R, de Jode M, Warwick C, Terras M (2012) Experiments with the internet of things in museum space: QRator. In: Proceedings of the 2012 ACM conference on ubiquitous computing (UbiComp’12). ACM, New York, NY, USA, pp 1183–1184. http://dx.doi.org/10.1145/2370216.2370469

  22. Ivan K, Steven L (1991) Exhibiting cultures: the poetics and politics of museum display. Smithsonian Institution Press, Washington

    Google Scholar 

  23. Klingemann M, Doury S (2016) X degrees of separation: the hidden paths through culture. Google Arts & Culture Experiments. https://artsexperiments.withgoogle.com/xdegrees. Accessed 5 February 2017

  24. Lord GD, Lord B (2009) The manual of museum management. AltaMira Press, Lanham, MD

    Google Scholar 

  25. Lord B, Lord GD, Nicks J, Britain G (1989) The cost of collecting: collection management in UK Museums. H.M.S.O., London

    Google Scholar 

  26. Lykourentzou I, Claude X, Naudet Y, Tobias E, Antoniou A, Lepouras G, Vassilakis C (2013) Improving museum visitors’ quality of experience through intelligent recommendations: a visiting style-based approach. In: Intelligent environments (workshops), 2013

    Google Scholar 

  27. Marti P, Gabrielli F, Pucci F (2001) Situated interaction in art. Pers Ubiquit Comput 5:71–74

    Article  Google Scholar 

  28. Mok E, Retscher G (2007) Location determination using WiFi fingerprinting versus WiFi trilateration. J Locat Based Serv 1(2)

    Google Scholar 

  29. Naudet Y, Lykourentzou I, Tobias E, Antoniou A, Rompa J, Lepouras G (2013) Gaming and cognitive profiles for recommendations in museums. In: Proceedings of the 8th international workshop on semantic and social media adaptation and personalization (SMAP)

    Google Scholar 

  30. Petrelli D, Not E, Zancanaro M (1999) Getting engaged and getting tired: what is in a museum experience. In: Proceedings of the workshop on ‘attitude, personality and emotions in user-adapted interaction’ held in conjunction with UM’99, Banff, 23 June 1999

    Google Scholar 

  31. RFID Journal (2017). How much information can an RFID tag store? https://www.rfidjournal.com/faq/show?66. Accessed 4 February 2017

  32. Rocchi C, Stock O, Zancanaro M, Kruppa M, Kruger A (2004) The museum visit: generating seamless personalized presentations on multiple devices. In: Proceedings of the 9th international conference on intelligent user interfaces, Funchal, Madeira, Portugal, January 2004, IUI’04. ACM, New York, NY, pp 316–318

    Google Scholar 

  33. Speed C, Shingleton D (2012) Take me I’m yours: mimicking object agency. In: Proceedings of the 2012 ACM conference on ubiquitous computing (UbiComp’12). ACM, New York, NY, USA, pp 1167–1170. http://dx.doi.org/10.1145/2370216.2370465

  34. Stock O, Zancanaro M, Busetta P, Callaway C, Krüger A, Kruppa M, Rocchi C (2007) Adaptive, intelligent presentation of information for the museum visitor in PEACH. User Model User-Adapt Interact 17(3):257–304

    Google Scholar 

  35. Thaggert M (2010) Images of Black modernism: verbal and visual strategies of the Harlem Renaissance. University of Massachusetts Press, Amherst

    Google Scholar 

  36. The Arnolfini Portrait. http://photodentro.edu.gr/lor/retrieve/44427/15arnol.jpg. Accessed 18 August 2017

  37. The NMC Horizon Project, NMC Horizon Report Museum Edition. http://files.eric.ed.gov/fulltext/ED559359.pdf

  38. Ting SL, Kwok SK, Tsang AHC, Ho GTS (2011) The study on using passive RFID tags for indoor positioning. Int J Eng Bus Manag 3(1). https://doi.org/10.5772/45678

  39. Toshiba (2017). FLASHAIR\(^{\text{TM}}\). http://www.toshiba-memory.com/cms/en/products/wireless-sd-cards/FlashAir/. Accessed 4 February 2017

  40. Viswanathan V, Krishnamurthi I (2017) Finding relevant semantic association paths through user-specific intermediate entities. Human-centric Comput Inf Sci 2. Article Number 9(2012). https://hcis-journal.springeropen.com/track/pdf/10.1186/2192-1962-2-9?site=hcis-journal.springeropen.com. Accessed 28 June 2017

  41. Wecker AJ, Lanir J, Kuflik T, Stock O (2015) Where to go and how to get there: guidelines for indoor landmark-based navigation in a museum context. In: Proceedings of the 17th international conference on human-computer interaction with mobile devices and services adjunct (MobileHCI’15). ACM, New York, NY, USA, pp 789–796. http://dx.doi.org/10.1145/2786567.2793702

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Acknowledgements

This work has been partially funded by the project CrossCult: “Empowering reuse of digital cultural heritage in context-aware crosscuts of European history,” funded by the European Union’s Horizon 2020 research and innovation program, Grant#693150. This work has been partially supported by COST Action IC1302: Semantic keyword-based search on structured data sources (KEYSTONE).

Author information

Authors and Affiliations

  1. Department of Informatics and Telecommunications, University of Peloponnese, Tripoli, Greece

    Costas Vassilakis, Angeliki Antoniou & George Lepouras

  2. Knowledge and Uncertainty Research Laboratory, University of Peloponnese, Tripoli, Greece

    Vassilis Poulopoulos & Manolis Wallace

  3. University of Vigo, Vigo, Spain

    Martin Lopez Nores

Authors
  1. Costas Vassilakis
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  2. Vassilis Poulopoulos
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  3. Angeliki Antoniou
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  4. Manolis Wallace
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  5. George Lepouras
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  6. Martin Lopez Nores
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Corresponding author

Correspondence to Manolis Wallace .

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Editors and Affiliations

  1. University Politehnica of Bucharest, Bucharest, Romania

    Florin Pop

  2. National Institute for Research and Development in Informatics, Bucharest, Romania

    Gabriel Neagu

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Vassilakis, C., Poulopoulos, V., Antoniou, A., Wallace, M., Lepouras, G., Nores, M.L. (2021). exhiSTORY: Smart Self-organizing Exhibits. In: Pop, F., Neagu, G. (eds) Big Data Platforms and Applications. Computer Communications and Networks. Springer, Cham. https://doi.org/10.1007/978-3-030-38836-2_5

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  • DOI: https://doi.org/10.1007/978-3-030-38836-2_5

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