Skip to main content

User Profiling: Towards a Facebook Game that Reveals Cognitive Style

Part of the Lecture Notes in Computer Science book series (LNISA,volume 8605)


This paper presents an innovative approach based on social-network gaming, which will extract players’ cognitive styles for personalization purposes. Cognitive styles describe the way individuals think, perceive and remember information and can be exploited to personalize user interaction. Questionnaires are usually employed to identify cognitive styles, a tedious process for most users. Our approach relies on a Facebook game for discovering potential visitors’ cognitive styles with an ultimate goal of enhancing the overall visitors’ experience in the museum. By hosting such a game on the museum’s webpage and on Facebook, the museum aims to attract new visitors, as well as to support the user profiling process.


  • User Profile
  • Cognitive Style
  • Museum Visit
  • Game Feature
  • Personalized Application

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

This is a preview of subscription content, access via your institution.

Buying options

USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions


  • Ardissono, L., Petrelli, D.: UMUAI Special Issue on Cultural Heritage Exploration Preface. User Model. User-Adap. Inter. 18, 383–387 (2008)

    Google Scholar 

  • Brigges-Myers, I., McCaulley, M.H.: Manual: A Guide to the Development and Use of the Myers-Briggs Type Indicator. Consulting Psychologists Press, Palo Alto (1985)

    Google Scholar 

  • Falk, J., Korean, J., Dierking, L., Dreblow, L.: Predicting visitor behavior. Curator 28(4), 249–257 (1985)

    CrossRef  Google Scholar 

  • Gaeta, A., Gaeta, M., Ritrovato, P.: A grid based software architecture for delivery of adaptive and personalised learning experiences. Pers. Ubiquit. Comput. 13, 207–217 (2007)

    CrossRef  Google Scholar 

  • Kennedy, J.M.: A Psychology of Picture Perception. Jossey-Bass Publishers, San Francisco (1974)

    Google Scholar 

  • Muntean, C.H., Muntean, G.M.: Open corpus architecture for personalised ubiquitous e-learning. Pers. Ubiquit. Comput. 13, 197–205 (2007)

    CrossRef  Google Scholar 

  • Prensky, M.: Complexity matters. Educ.T echnol. 45(4), 1–15 (2005)

    Google Scholar 

  • Riding, R., Rayner, S.G.: Cognitive Styles and Learning Strategies. David Fulton Publisher, London (1998)

    Google Scholar 

  • Serrell, B.: Paying Attention: Visitors and Museum Exhibitions. American Alliance of Museums, Washington DC (1998)

    Google Scholar 

  • Veron, E., Levasseur, M.: Ethnographie de l’exposition: l’espace, le corps et le sens. Bibliothèque Publique d’ Information, Centre Georges Pompidou (1989)

    Google Scholar 

  • Wakkary, R., Hatala, M.: Situated play in a tangible interface and adaptive audio museum guide. Pers. Ubiquit. Comput. 11, 171–191 (2006)

    CrossRef  Google Scholar 

Download references


The above research is partly funded under the European Union Seventh Framework Program Experimedia project, Contract No. 287966. We would also like to thank the students of the Departments of Computer Science and Technology, University of Peloponnese for participating in the pilot studies.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Angeliki Antoniou .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Antoniou, A. et al. (2014). User Profiling: Towards a Facebook Game that Reveals Cognitive Style. In: De Gloria, A. (eds) Games and Learning Alliance. GALA 2013. Lecture Notes in Computer Science(), vol 8605. Springer, Cham.

Download citation

  • DOI:

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12156-7

  • Online ISBN: 978-3-319-12157-4

  • eBook Packages: Computer ScienceComputer Science (R0)