Skip to main content
SpringerLink
Log in

Personalization in the Digital Era

  • Chapter
  • First Online:
Human-Centred Web Adaptation and Personalization

Part of the book series: Human–Computer Interaction Series ((HCIS))

  • 1367 Accesses

Abstract

According to a recent claim by IBM, every day we create 2.5 quintillion bytes of data – so much that 90 % of the data in the world today has been created in the last two years alone. These data come from a variety of sources and in diverse formats creating an ecosystem that apart from the many benefits and opportunities it offers, generates a number of problems and complications that might hinder and disorient people in their daily interaction with online information. In this respect, non-personalized systems and applications fail to meet the needs and goals of different users. The necessity for adaptation and personalization of today’s fast growing and dynamic computing systems, content and services is now even more recognizable since they can offer alternative solutions that could adequately support the increasing multi-purpose requests and desires of users. This chapter overviews the major influential dimensions and aspects around this uncontrolled and vague ever-expanding digital reality, and tries to sketch the shift of viewpoints towards new research challenges in creating adaptive and personalized interactive systems that consider the human in the ‘centre’. Main aim is to provide a first understanding of the context and dynamics around adaptation and personalization, and motivate the reader to appreciate the role of the user and individual differences in the design and development process of such systems.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
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
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover 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

Institutional subscriptions

References

  • Ashton K (2009) That ‘internet of things’ thing. RFID J 22:97–114

    Google Scholar 

  • Balint L (1996) Computer-mediated interpersonal communication. In: Day D, Kovaks D (eds) Computers, communication and mental models. Taylor & Francis, London

    Google Scholar 

  • Brusilovsky P (1996) Adaptive hypermedia: an attempt to analyse and generalize. In: Brusilovsky P, Kommers P, Streitz N (eds) Multimedia, hypermedia, and virtual reality. Springer, Berlin

    Chapter  Google Scholar 

  • Brusilovsky P (2001) Adaptive hypermedia. User Model User-Adap Inter 11(1–2):87–110

    Article  MATH  Google Scholar 

  • Brusilovsky P, Maybury M (2002) From adaptive hypermedia to the adaptive web. Commun ACM 45(5):30–33

    Article  Google Scholar 

  • Cadez I, Heckerman D, Meek C, Smyth P, White S (2000) Visualization of navigation patterns on a web site using model-based clustering. In: Proceedings of the ACM SIGKDD international conference on knowledge discovery and data mining, ACM Press, pp 280–284

    Google Scholar 

  • Card S, Moran T, Newell A (1983) The psychology of human computer interaction. Lawrence Erlbaum Associates, Hillsdale

    Google Scholar 

  • Castellano G, Torsello M (2008) Categorization of web users by fuzzy clustering. In: Proceedings of international conference on knowledge-based intelligent information and engineering systems. Springer, Heidelberg, pp 222–229

    Google Scholar 

  • Castellano G, Fanelli A, Mencar C, Torsello M (2007) Similarity-based fuzzy clustering for user profiling. In: Proceedings of international conference on web intelligence and intelligent agent technology workshop, IEEE/WIC/ACM, pp 75–78

    Google Scholar 

  • Cui G, Liu H, Yang X, Wang H (2013) Culture, cognitive style and consumer response to informational vs. transformational advertising among East Asians: evidence from the PRC. Asia Pacific Bus Rev 19(1):16–31

    Article  Google Scholar 

  • Davou B (2000) Thought processes in the age of information: issues on cognitive psychology and communication. Papazissis Publishers, Athens. ISBN 960-02-1389-5

    Google Scholar 

  • Dix A, Finlay J, Abowd G, Beale A (2003) Human-computer interaction, 3rd edn. Prentice Hall, Upper Saddle River. ISBN 978-0130461094

    MATH  Google Scholar 

  • Dreyfus HL (1972) What computers can’t do: a critique of artificial reason. Harper & Row, New York

    Google Scholar 

  • Eirinaki M, Vazirgiannis M (2003) Web mining for web personalization. J ACM Trans Internet Technol 3(1):1–27

    Article  Google Scholar 

  • Eklund J, Sinclair K (2000) An empirical appraisal of the effectiveness of adaptive interfaces of instructional systems. Educ Technol Soc 3(4), pp 165–177. ISSN:1436-4522

    Google Scholar 

  • Engelbrecht P, Engelbrecht P, Natzel S, Natzel S (1997) Cultural variations in cognitive style: field dependence vs field independence. Sch Psychol Int 18(2):155–164

    Article  Google Scholar 

  • Ferreira C, Salgado L, de Souza C (2013) A vocabulary to access users’ cultural perspectives in human-computer interaction. In: Proceedings of the IFIP TC13 conference on human-computer interaction (INTERACT 2013), Springer, pp 314–322

    Google Scholar 

  • Gallatay AM (1986) Natural and artificial intelligence. Elsevier, Amsterdam

    Google Scholar 

  • Germanakos P (2014) User modelling, adaptation, and personalization (UMAP) in the era of pervasive computing and big data: challenges of the future. Panel position statement, UMAP 2014. Aalborg, 7–11 Jul 2015

    Google Scholar 

  • Germanakos P, Tsianos N, Lekkas Z, Mourlas C, Samaras G (2007) Capturing essential intrinsic user behaviour values for the design of comprehensive web-based personalized environments. Comput Hum Behav J. Special issue on Integration of Human Factors in Networked Computing. doi:10.1016/j.chb.2007.07.010

    Google Scholar 

  • HCI-KDD (2015) HCI and knowledge discovery & data mining. Available online at http://www.hci4all.at/expert-network-hci-kdd/. Accessed July 2015

  • Heimgärtner R (2012) Cultural differences in human-computer interaction: towards culturally adaptive human-machine interaction. Oldenbourg Wissenschaftsverlag, Berlin/Boston

    Google Scholar 

  • ISC: Internet Systems Consortium (2014) Available online at http://www.isc.org. Accessed July 2015

  • Kyllonen PC, Stevens DL (1990) Cognitive abilities as determinants of success in acquiring logic skill. Learn Individ Differ 2(2):129–160

    Article  Google Scholar 

  • Licklider JCR (1960) Man-computer symbiosis. IRE Trans Hum Factors Electron, HFE-1(1):4–11. Reprinted in In Memoriam: Licklider JCR (1915–1990) Taylor RW (ed) Digital systems research center reports 61, Palo Alto, 1990

    Google Scholar 

  • Linden G, Smith B, York J (2003) Amazon.com recommendations: item-to-item collaborative filtering. J IEEE Internet Comput 7(1):76–80

    Article  Google Scholar 

  • Mobasher B (2007) Data mining for web personalization. In: Brusilovsky P, Kobsa A, Nejdl W (eds) The adaptive web. Springer, Heidelberg, pp 90–135

    Chapter  Google Scholar 

  • Nasraoui O, Soliman M, Saka E, Badia A, Germain R (2008) A web usage mining framework for mining evolving user profiles in dynamic web sites. J IEEE Trans Knowl Data Eng 20(2):202–215

    Article  Google Scholar 

  • Nöll T, Köhler J, Reis G, Stricker G (2015) Fully automatic, omnidirectional acquisition of geometry and appearance in the context of cultural heritage preservation. ACM J Comput Cult Herit 8(1), 28 pages

    Google Scholar 

  • Norman DA (1986) Cognitive engineering. In: Norman DA, Draper SW (eds) User centered systems design. Lawrence Erlbaum, Hillsdale, pp 31–61

    Google Scholar 

  • Norman DA (1996) Design as practiced. In: Winograd T (ed) Bringing design to software. Addison-Wesley, Reading, pp 233–247

    Google Scholar 

  • Norman D (2013) The design of everyday things. Basic Books, New York

    Google Scholar 

  • Panayiotou C, Samaras G (2006) Mobile user personalization with dynamic profiles: time and activity. On the move to meaningful internet systems 2006: OTM 2006 workshops (PerSys 2006), Montpellier, 29 Oct–3 Nov 2006. Proceedings, Part II, pp 1295–1304

    Google Scholar 

  • Papatheocharous E, Belk M, Germanakos P, Samaras G (2014) Towards implicit user modeling based on artificial intelligence, cognitive styles and web interaction data. Int J Artif Intell Tools (IJAIT), World Scientific, 23(2):21 pages. doi:10.1142/S0218213014400090

    Google Scholar 

  • Parka S, Sureshb N, Jeonga B (2008) Sequence-based clustering for web usage mining: a new experimental framework and ANN-enhanced K-means algorithm. Data Knowl Eng 65(3):512–543

    Article  Google Scholar 

  • Pierrakos D, Paliouras G, Papatheodorou C, Spyropoulos C (2003) Web usage mining as a tool for personalization: a survey. J User Model User-Adap Inter 13(4):311–372

    Article  Google Scholar 

  • Pitsillides A (2014) The web of things: towards smart pervasive environments. Keynote talk in the 2nd international workshop on smart city and ubiquitous computing applications (SCUCA 2014), in conjunction with the IEEE WiMob 2014, Larnaca, 8 Oct 2014

    Google Scholar 

  • Preece J, Rogers Y, Sharp H (2011) Interaction design: beyond human-computer interaction, 3rd edn. Wiley, New York. ISBN 978-0470665763

    Google Scholar 

  • Ritter FE, Baxter GD, Churchill EF (2014) Foundations for designing user-centered systems: what system designers need to know about people. Springer, London. ISBN 978-1447151333

    Book  Google Scholar 

  • Schneider-Hufschmidt M, Kühme T, Malinowski U (1993) Adaptive user interfaces: principles and practice, Human factors in information technology. North-Holland, Amsterdam

    Google Scholar 

  • Su X, Khoshgoftaar T (2009) A survey of collaborative filtering techniques. Adv Artif Intell Article 4, 19 p

    Google Scholar 

  • Suchman L (1987) Plans and situated actions: the problem of human-machine communication. Cambridge University Press, Cambridge

    Google Scholar 

  • Thrower T (1999) The relationship between culture and cognitive style: a review of the evidence and some reflections for the classroom. Mid-West Educ Res 12(2):36–44

    Google Scholar 

  • Tomasello M (2000) Culture and cognitive development. Curr Dir Psychol Sci 9(2):37–40

    Article  Google Scholar 

  • Tylor EB (1974) Primitive culture: researches into the development of mythology, philosophy, religion, art, and custom. Gordon Press, New York

    Google Scholar 

  • Varnum M, Grossmann I, Kitayama S, Nisbett R (2010) The origin of cultural differences in cognition: the social orientation hypothesis. Curr Dir Psychol Sci 19(1):9–13

    Article  Google Scholar 

  • Wu X, Kumar V, Quinlan JR, Ghosh J, Yang Q, Motoda H, McLachlan G, Ng A, Liu B, Yu P, Zhou Z, Steinbach M, Hand D, Steinberg D (2007) Top 10 algorithms in data mining. J Knowl Inf Syst 14(1):1–37

    Article  Google Scholar 

  • Yang Q, Huang JZ, Ng M (2003) A data cube model for prediction-based web prefetching. J Intell Inf Syst 20(1):11–30

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Suite Engineering UX, Products & Innovation, SAP SE, Walldorf, Germany

    Panagiotis Germanakos

  2. Department of Computer Science, University of Cyprus, Nicosia, Cyprus

    Panagiotis Germanakos & Marios Belk

Authors
  1. Panagiotis Germanakos
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Marios Belk
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Germanakos, P., Belk, M. (2016). Personalization in the Digital Era. In: Human-Centred Web Adaptation and Personalization. Human–Computer Interaction Series. Springer, Cham. https://doi.org/10.1007/978-3-319-28050-9_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-28050-9_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28048-6

  • Online ISBN: 978-3-319-28050-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation