Skip to main content

Towards the Tradeoff Between Online Marketing Resources Exploitation and the User Experience with the Use of Eye Tracking

  • Conference paper
Intelligent Information and Database Systems (ACIIDS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9621))

Included in the following conference series:

  • 2708 Accesses

Abstract

Online systems are often overloaded with marketing content and as a result, perceived intrusiveness negatively affects the user experience and the evaluation of the website. Intentional and unintentional avoidance of the commercial content creates the need for compromise solutions from both the perspective of user experience and business goals. The presented research shows a unique approach to search for tradeoffs between the editorial content and the intensity of marketing components with the use of eye tracking and the multiple-criteria decision analysis methods.

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

Access this chapter

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

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ha, L., McCann, K.: An integrated model of advertising clutter in offline and online media. Int. J. Advertising 27(4), 569–592 (2008)

    Article  Google Scholar 

  2. Brajnik, G., Gabrielli, S.: A review of online advertising effects on the user experience. Int. J. Hum. Comput. Interact. 26(10), 971–997 (2010)

    Article  Google Scholar 

  3. Gibbs, W.: Examining users on news provider web sites: a review of methodogy. J. Usability Stud. 3, 129–148 (2008)

    Google Scholar 

  4. McCoy, S., Everard, A., Polak, P., Galletta, D.F.: The effects of online advertising. Commun. ACM 50(3), 84–88 (2007)

    Article  Google Scholar 

  5. Hairong, E., Edwards, S.M., Joo-Huyn, L.: Measuring the intrusiveness of advertisements: scale development and validation. J. Advertising 31(2), 37–47 (2002)

    Article  Google Scholar 

  6. Moe, W.W.: A field experiment to assess the interruption effect of pop-up promotions. J. Interact. Mark. 20(1), 34–44 (2006)

    Article  Google Scholar 

  7. Goldstein, D.G., McAfee, R.P., Suri, S.: The cost of annoying ads. In: Proceedings of the 22nd International Conference on World Wide Web (WWW 2013), International World Wide Web Conferences Steering Committee, pp. 459–470. Republic and Canton of Geneva, Switzerland (2013)

    Google Scholar 

  8. Ha, L., Litman, B.R.: Does advertising clutter have diminishing and negative returns? J. Advertising 26(1), 31–42 (1997)

    Article  Google Scholar 

  9. Rosenkrans, G.: The creativeness and efectiveness of online interactive rich media advertising. J. Interact. Advertising 9(2), 18–31 (2009)

    Article  Google Scholar 

  10. Burke, M., Hornof, A., Nilsen, E., Gorman, N.: High cost banner blindness: ads increase perceived workload hinder visual search and are forgotten. ACM Trans. Comput. Hum. Interact. 12(4), 423–445 (2005)

    Article  Google Scholar 

  11. Benway, J.P., Lane, D.M.: Banner blindness: web searchers often miss “obvious” links (1998). http://www.internettg.org/newsletter/dec98/banner_blindness.html

  12. Krammer, V.: An effective defense against intrusive web advertising. In: Proceedings of the 2008 Sixth Annual Conference on Privacy, Security and Trust (PST 2008), pp. 3–14. IEEE Computer Society, Washington, USA (2008)

    Google Scholar 

  13. Chatterjee, P.: Are unclicked ads wasted? Enduring effects of banner and pop-up ad exposures on brand memory and attitudes. J. Electron. Commer. Res. 9(10), 51–61 (2008)

    Google Scholar 

  14. Jankowski, J.: Modeling the structure of recommending interfaces with adjustable influence on users. In: Selamat, A., Nguyen, N.T., Haron, H. (eds.) ACIIDS 2013, Part II. LNCS, vol. 7803, pp. 429–438. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  15. Jankowski, J.: Balanced approach to the design of conversion oriented websites with limited negative impact on the users. In: Bǎdicǎ, C., Nguyen, N.T., Brezovan, M. (eds.) ICCCI 2013. LNCS, vol. 7803, pp. 527–536. Springer, Heidelberg (2013)

    Google Scholar 

  16. Jankowski, J.: Increasing website conversions using content repetitions with different levels of persuasion. In: Selamat, A., Nguyen, N.T., Haron, H. (eds.) ACIIDS 2013, Part II. LNCS, vol. 7803, pp. 439–448. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  17. Lang, A.: The limited capacity model of mediated message processing. J. Commun. 50(1), 46–70 (2000)

    Article  Google Scholar 

  18. Zha, W., Wu, H.D.: The impact of online disruptive ads on users’ comprehension evaluation of site credibility and sentiment of intrusiveness. Am. Commun. J. 16(2), 15–28 (2014)

    Google Scholar 

  19. Andrew, Y.T., Kim, D.J.: A comparative analysis of online social networking sites and their business models. E-marketing: Concepts, Methodologies, Tools and Applications, pp. 803–813. IGI Global Publications, Hershey (2012). doi:10.4018/978-1-4666-1598-4.ch048

    Google Scholar 

  20. Lai, V.S., Wong, B.K.: Business types e-strategies and performance. Commun. ACM 48(5), 80–85 (2005)

    Article  Google Scholar 

  21. Brans, J.P., Mareschal, B.: Promethee methods. In: Figueira, J., Greco, S., Ehrgott, M. (eds.) Multiple Criteria Decision Analysis, pp. 163–195. Springer, Boston (2005)

    Google Scholar 

  22. Brans, J.P., Vincke, P.: A preference ranking organisation method: (the Promethee method for multiple criteria decision-making). Manag. Sci. 31, 647–656 (1985)

    Article  MathSciNet  MATH  Google Scholar 

  23. Behzadian, M., Kazemzadeh, R.B., Albadvi, A., Aghdasi, M.: PROMETHEE: a comprehensive literature review on methodologies and applications. Eur. J. Oper. Res. 200, 198–215 (2010)

    Article  MATH  Google Scholar 

  24. Ghafghazi, S., Sowlati, T., Sokhansanj, S., Melin, S.: A multicriteria approach to evaluate district heating system options. Appl. Energy 87, 1134–1140 (2010)

    Article  Google Scholar 

  25. Roy, B.: Multicriteria Methodology for Decision Aiding. Springer, Dordrecht (1996)

    Book  MATH  Google Scholar 

  26. Roy, B.: Paradigms and challenges. In: Figueira, J., Greco, S., Ehrgott, M. (eds.) Multiple Criteria Decision Analysis: State of the Art Surveys, pp. 3–24. Springer, Boston (2005)

    Chapter  Google Scholar 

  27. Deshmukh, S.C.: Preference ranking organization method of enrichment evaluation (Promethee). Int. J. Eng. Sci. Invention 2(11), 28–34 (2013)

    Google Scholar 

  28. Roy, B.: The outranking approach and the foundations of ELECTRE methods. In: Bana e Costa, C.A. (ed.) Readings in Multiple Criteria Decision Aid, pp. 155–183. Springer, Heidelberg (1990)

    Chapter  Google Scholar 

  29. Amponsah, S.K., Darkwah, K.F., Inusah, A.: Logistic preference function for preference ranking organization method for enrichment evaluation (PROMETHEE) decision analysis. Afr. J. Math. Comput. Sci. Res. 5(6), 112–119 (2012)

    Article  Google Scholar 

  30. Podvezko, V., Podviezko, A.: Dependence of multi-criteria evaluation result on choice of preference functions and their parameters. Technol. Econ. Dev. Econ. 16(1), 143–158 (2010)

    Article  Google Scholar 

  31. Podvezko, V., Podviezko, A.: Use and choice of preference functions for evaluation of characteristics of socio-economical processes. In: 6th International Scientific Conference on Business and Management, Vilnius, pp. 1066–1071 (2010)

    Google Scholar 

  32. Macharis, C., Brans, J.P., Mareschal, B.: The GDSS PROMETHEE procedure. J. Decis. Syst. 7, 283–307 (1998)

    Google Scholar 

  33. Mareschal, B., Brans, J.P.: Geometrical representations for MCDA. Eur. J. Oper. Res. 34, 69–77 (1988)

    Article  MathSciNet  Google Scholar 

  34. Saltelli, A., Tarantola, S., Chan, K.: A role for sensitivity analysis in presenting the results from MCDA studies to decision makers. J. Multi-Criteria Decis. Anal. 8, 139–145 (1999)

    Article  MATH  Google Scholar 

  35. Janssens, G.K., Pangilinan, J.M.: Multiple criteria performance analysis of non-dominated sets obtained by multi-objective evolutionary algorithms for optimisation. In: Papadopoulos, H., Andreou, A.S., Bramer, M. (eds.) AIAI 2010. IFIP AICT, vol. 339, pp. 94–103. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  36. Kazienko, P., Adamski, M.: AdROSA - adaptive personalization of web advertising. Inf. Sci. 177(11), 2269–2295 (2007)

    Article  Google Scholar 

  37. Sałabun, W.: The characteristic objects method: a new distance-based approach to multicriteria decision-making problems. J. Multi-Criteria Decis. Anal. 22(1–2), 37–50 (2015)

    Article  Google Scholar 

  38. Piegat, A., Sałabun, W.: Identification of a multicriteria decision-making model using the characteristic objects method. Appl. Comput. Intell. Soft Comput. (2014)

    Google Scholar 

  39. Wątróbski, J., Jankowski, J., Piotrowski, Z.: The selection of multicriteria method based on unstructured decision problem description. In: Hwang, D., Jung, J.J., Nguyen, N.-T. (eds.) ICCCI 2014. LNCS, vol. 8733, pp. 454–465. Springer, Heidelberg (2014)

    Google Scholar 

  40. Ziemba, P., Piwowarski, M., Jankowski, J., Wątróbski, J.: Method of criteria selection and weights calculation in the process of web projects evaluation. In: Hwang, D., Jung, J.J., Nguyen, N.-T. (eds.) ICCCI 2014. LNCS, vol. 8733, pp. 684–693. Springer, Heidelberg (2014)

    Google Scholar 

Download references

Acknowledgments

The work was partially supported by European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 316097 [ENGINE] and by the National Science Centre, the decision no. DEC-2013/09/B/ST6/02317.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jarosław Jankowski .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Jankowski, J., Ziemba, P., Wątróbski, J., Kazienko, P. (2016). Towards the Tradeoff Between Online Marketing Resources Exploitation and the User Experience with the Use of Eye Tracking. In: Nguyen, N.T., Trawiński, B., Fujita, H., Hong, TP. (eds) Intelligent Information and Database Systems. ACIIDS 2016. Lecture Notes in Computer Science(), vol 9621. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49381-6_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-49381-6_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49380-9

  • Online ISBN: 978-3-662-49381-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics