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Capturing Eye Tracking Data for Customer Profiling

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Business Information Systems (BIS 2010)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 47))

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Abstract

In the context of user-centric design and customer profiling based on the persona paradigm, the paper proposes a Web application model focused on integrating eye tracking data and user-defined metadata with a profile repository. During user-computer interaction through an AJAX-driven graphic interface or interactive document, the user attention map is captured with eye tracking tools and converted in formats that are fit for mining and inferring on relationships between the key concepts that attracted the user’s attention. For facile integration of metadata with HTML dynamically generated pages, solutions such as microformats and RDF in attributes are employed.

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References

  1. Nielsen, J.: Usability Engineering. Academic Press, Boston (1993)

    MATH  Google Scholar 

  2. Cooper, A.: The Inmates Are Running the Asylum. Macmillan, New York (1999)

    Google Scholar 

  3. Pruitt, K., Adlin, T.: The Persona Lifecycle. Morgan Kaufmann, San Francisco (2006)

    Google Scholar 

  4. Sissors, J.: What Is a Market? J. of Marketing 30, 17–21 (1966)

    Article  Google Scholar 

  5. Moore, G.A.: Crossing the Chasm: Marketing and Selling High-Tech Products to Mainstream Customers. HarperCollins, New York (1991)

    Google Scholar 

  6. Upshaw, L.: Building Brand Identity: A Strategy for Success in a Hostile Marketplace. John Wiley and Sons, New York (1995)

    Google Scholar 

  7. Mello, S.: Customer-centric Product Definition: The Key to Great Product Development. AMACOM, New York (2002)

    Google Scholar 

  8. Carroll, J. (ed.): Scenario-based Design: Envisioning Work and Technology in System Development. John Wiley and Sons, Chichester (1995)

    Google Scholar 

  9. Hackos, J.T., Redish, J.C.: User and Task Analysis Techniques: User and Task Analysis for Interface Design. John Wiley and Sons, New York (1998)

    Google Scholar 

  10. Mikkelson, N., Lee, W.O.: Incorporating User Archetypes into Scenario-Based Design. In: 9th Annual Usability Professionals’ Association Conference, Asheville (2000)

    Google Scholar 

  11. Duchowski, A.T.: Eye Tracking Methodology - Theory and Practice, 2nd edn. Springer, London (2007)

    Google Scholar 

  12. Rommelse, N.N., Van der Stigchel, S., Sergeant, J.A.: A Review on Eye Movement Studies in Childhood and Adolescent Psychiatry. Brain and Cognition 63(8), 391–414 (2008)

    Article  Google Scholar 

  13. Hess, E.H., Polt, J.M.: Pupil Size as Related to Interest Value of Visual Stimuli. Science 132(3423), 349–350 (1960)

    Article  Google Scholar 

  14. Beatty, J., Lucero-Wagoner, B.: The Pupillary System. In: Cacioppo, J.T., Tassinary, L.G., Berntson, G.G. (eds.) Handbook of Psychophysiology, pp. 142–162. Cambridge University Press, Cambridge (2000)

    Google Scholar 

  15. Jacob, R.J.K.: The Use of Eye-movements in Human-Computer Interaction Techniques: What You Look at is What You Get. ACM Transactions on Information Systems 9(2), 152–169 (1991)

    Article  Google Scholar 

  16. Salvucci, D.D., Anderson, J.R.: Intelligent Gaze-added Interfaces. In: Proceedings of the Conference on Human Factors in Computing Systems, pp. 273–280. ACM Press, New York (2000)

    Chapter  Google Scholar 

  17. Zhai, S., Morimoto, C., Ihde, S.: Manual and Gaze Input Cascaded (Magic) Pointing. In: Proceedings of the SIGCHI conference on human factors in computing systems, pp. 246–253. ACM Press, New York (1999)

    Google Scholar 

  18. Wedel, M., Pieters, R.: Eye tracking for Visual Marketing. Foundations and Trends in Marketing 1, 231–320 (2006)

    Article  Google Scholar 

  19. Reeder, R.W., Pirolli, P., Card, S.K.: Web Eye Mapper and WebLogger: Tools for Analyzing Eye Tracking Data Collected in Web-use Studies. In: Proceedings of the Conference on Human Factors in Computing Systems, pp. 19–20. ACM Press, New York (2001)

    Google Scholar 

  20. Text 2.0, http://text20.net/

  21. Ohno, T.: Eyeprint: Support of Document Browser with Eye Gaze Trace. In: Proc. ACM 6th International Conference on Multimodal Interfaces, pp. 16–23. ACM Press, New York (2004)

    Chapter  Google Scholar 

  22. Ohno, T., Hammoud, R.I.: Gaze-based Interaction. In: Hammoud, R.I. (ed.) Passive Eye Monitoring, pp. 180–194. Springer, Heidelberg (2008)

    Google Scholar 

  23. Starburst 1.0.1, http://joelclemens.colinr.ca/eyetrack/software.html

  24. openEyes - Eye Tracking for the Masses, http://thirtysixthspan.com/openEyes/

  25. Opengazer, http://www.inference.phy.cam.ac.uk/opengazer/

  26. TrackEye, http://www.codeproject.com/KB/cpp/TrackEye.aspx

  27. ITU GazeGroup, http://www.gazegroup.org/downloads/23-gazetracker

  28. Open Gaze and Mouse Analyzer, http://didaktik.physik.fu-berlin.de/projekte/ogama/

  29. Tobii Technology, http://www.tobii.com

  30. Nielsen, J., Loranger, H.: Prioritizing Web Usability. New Riders, Berkeley (2006)

    Google Scholar 

  31. Redish, J.: Letting Go of the Words. Morgan Kaufman, San Francisco (2007)

    Google Scholar 

  32. Landow, G.: Hypertext 3.0: Critical Theory and New Media in an Era of Globalization. The Johns Hopkins University Press, Baltimore (2006)

    Google Scholar 

  33. Srikant, R., Agrawal, R.: Mining Sequential Patterns: Generalizations and Performance Improvements. In: Proc. of the 5th Intl. Conf. Extending Database Technology, EDBT 1996, Avignon, France, pp. 3–17 (1996)

    Google Scholar 

  34. Agrawal, R., Srikant, R.: Fast Algorithms for Mining Association Rules. In: Proc. of the 20th Intl. Conf. on Very Large Data Bases, VLDB 1994, Santiago, Chile, pp. 487–499 (1994)

    Google Scholar 

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Buchmann, R.A., Meza, R. (2010). Capturing Eye Tracking Data for Customer Profiling. In: Abramowicz, W., Tolksdorf, R. (eds) Business Information Systems. BIS 2010. Lecture Notes in Business Information Processing, vol 47. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12814-1_9

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  • DOI: https://doi.org/10.1007/978-3-642-12814-1_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12813-4

  • Online ISBN: 978-3-642-12814-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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