Balancing Adaptivity and Customisation

In Search of Sustainable Personalisation in Cultural Heritage
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8538)


Personalisation for cultural heritage aims at delivering to visitors the right stories at the right time. Our endeavour to determine which features to use for adaptation starts from acknowledging what forms of personalisation curators value as most meaningful. Working in collaboration with curators we have explored the different features that must be taken into account: some are related to the content (multiple interpretation layers), others to the context of delivery (where and when), but some are idiosyncratic (“match my mood”, “something that is relevant to my life”). The findings reveal that a sustainable personalization needs to accurately balance: (i) support to curators in customising stories to different visitors; (ii) algorithms for the system to dynamically model aspects of the visit and instantiate the correct behaviour; and (iii) an active role for visitors to choose the type of experience they would like to have today.


Personalisation in Cultural Heritage Sustainability Customisation Adaptivity Personalisation by design 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Ardissono, L., Kuflik, T., Petrelli, D.: Personalisation in Cultural Heritage: The Road Travelled and the One Ahead. UMUAI 22(1-2), 73–99 (2012)Google Scholar
  2. 2.
    Dim, E., Kuflik, T.: Early Detection of Museum Visitors Identities by Using a Museum Triage. In: Herder, E., Yacef, K., Chen, L., Weibelzahl, S. (eds.) Workshop and Poster Proceedings of UMAP 2012, CEUR, vol. 872 (2012)Google Scholar
  3. 3.
    Falk, J.: Identity and the Museum Visitor Experience. Left Coast Press (2009)Google Scholar
  4. 4.
    Goren-Bar, D., Graziola, I., Pianesi, F., Zancanaro, M.: The influence of personality factors on visitor attitudes towards adaptivity dimensions for mobile museum guides. UMUAI 16(1), 31–62 (2006)Google Scholar
  5. 5.
    van Hage, W.R., Stash, N., Wang, Y., Aroyo, L.: Finding Your Way through the Rijksmuseum with an Adaptive Mobile Museum Guide. In: Aroyo, L., Antoniou, G., Hyvönen, E., ten Teije, A., Stuckenschmidt, H., Cabral, L., Tudorache, T. (eds.) ESWC 2010, Part I. LNCS, vol. 6088, pp. 46–59. Springer, Heidelberg (2010)Google Scholar
  6. 6.
    Kuflik, T., Dim, E.: Early Detection of Pairs of Visitors by Using a Museum Triage. In: Proc. of MW 2013: Museums and the Web 2013, Portland, OR, USA (2013)Google Scholar
  7. 7.
    Not, E., Petrelli, D.: Curators in the Loop: a Quality Control Process for Personalisation for Tangible Interaction in Cultural Heritage. In: Berkovsky, S., Herder, E., Lops, P., Santos, O.C. (eds.) UMAP 2013 Extended Proceedings, CEUR, vol. 997 (2013)Google Scholar
  8. 8.
    Petrelli, D., Ciolfi, L., van Dijk, D., Hornecker, E., Not, E., Schmidt, A.: Integrating Material and Digital: a New Way for Cultural Heritage. Interactions 20(4), 58–63 (2013)CrossRefGoogle Scholar
  9. 9.
    Pujol, L., Roussou, M., Poulou, S., Balet, O., Vayanou, M., Ioannidis, Y.: Personalizing interactive digital storytelling in archaeological museums: the CHESS project. In: Archaeology in the Digital Era. Papers from the 40th Annual Conference of Computer Applications and Quantitative Methods in Archaeology (CAA 2012). Amsterdam Univ. Press (2013)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Fondazione Bruno KesslerTrentoItaly
  2. 2.Sheffield Hallam UniversitySheffieldUnited Kingdom

Personalised recommendations