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Towards the Personalization of CAPTCHA Mechanisms Based on Individual Differences in Cognitive Processing

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Human Factors in Computing and Informatics (SouthCHI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7946))

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Abstract

This paper studies the effect of individual differences on user performance related to text-recognition CAPTCHA challenges. In particular, a text-recognition CAPTCHA mechanism was deployed in a three-month user study to investigate the effect of individuals’ different cognitive processing abilities, targeting on speed of processing, controlled attention and working memory capacity toward efficiency and effectiveness with regard to different levels of complexity in text-recognition CAPTCHA tasks. A total of 107 users interacted with CAPTCHA challenges between September and November 2012 indicating that the usability of CAPTCHA mechanisms may be supported by personalization techniques based on individual differences in cognitive processing.

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References

  1. von Ahn, L., Blum, M., Langford, J.: Telling Humans and Computers Apart Automatically. Communications of the ACM 47, 56–60 (2004)

    Article  Google Scholar 

  2. von Ahn, L., Blum, M., Hopper, N.J., Langford, J.: CAPTCHA: Using hard AI problems for security. In: Biham, E. (ed.) EUROCRYPT 2003. LNCS, vol. 2656, pp. 294–311. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  3. Bursztein, E., Bethard, S., Fabry, C., Mitchell, J.C., Jurafsky, D.: How Good are Humans at Solving CAPTCHAs? A Large Scale Evaluation. In: IEEE Symposium on Security and Privacy, pp. 399–413. IEEE Computer Society, Washington, DC (2010)

    Google Scholar 

  4. von Ahn, L., Maurer, B., McMillen, C., Abraham, D., Blum, M.: reCAPTCHA: Human-Based Character Recognition via Web Security Measures. Science 321(5895), 1465–1468 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  5. Pogue, D.: Time to Kill OffCaptchas - How the Bot-proofing of the Internet is Bringing Humans Down. Scientific American (2012)

    Google Scholar 

  6. Yan, J., El Ahmad, A.S.: A Low-cost Attack on a Microsoft CAPTCHA. In: 15th ACM International Conference on Computer and Communications Security, pp. 543–554. ACM Press, New York (2008)

    Google Scholar 

  7. Baecher, P., Büscher, N., Fischlin, M., Milde, B.: Breaking reCAPTCHA: A Holistic Approach via Shape Recognition. In: Camenisch, J., Fischer-Hübner, S., Murayama, Y., Portmann, A., Rieder, C. (eds.) SEC 2011. IFIP AICT, vol. 354, pp. 56–67. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  8. Yan, J., El Ahmad, A.S.: Usability of CAPTCHAs or Usability Issues in CAPTCHA Design. In: ACM International Symposium on Usable Security and Privacy, pp. 44–52. ACM Press, New York (2008)

    Chapter  Google Scholar 

  9. Fidas, C., Voyiatzis, A., Avouris, N.: On the Necessity of User-friendly CAPTCHA. In: ACM International Conference on Human Factors in Computing Systems, pp. 2623–2626. ACM Press, New York (2011)

    Google Scholar 

  10. Brusilovsky, P., Kobsa, A., Nejdl, W.: The Adaptive Web: Methods and Strategies of Web Personalization. Springer, Heidelberg (2007)

    Book  Google Scholar 

  11. Germanakos, P., Tsianos, N., Lekkas, Z., Mourlas, C., Belk, M., Samaras, G.: Towards an Adaptive and Personalized Web Interaction using Human Factors. In: Angelides, M., Mylonas, P., Wallace, M. (eds.) Advances in Semantic Media Adaptation and Personalization, pp. 247–282. Taylor & Francis (2009)

    Google Scholar 

  12. Triantafillou, E., Pomportsis, A., Demetriadis, S., Georgiadou, E.: The Value of Adaptivity based on Cognitive Style: an Empirical Study. Educational Technology 35, 95–106 (2004)

    Article  Google Scholar 

  13. Graf, S.: Kinshuk: Advanced Adaptivity in Learning Management Systems by Considering Learning Styles. In: International Workshop on Social and Personal Computing for Web-Supported Learning Communities, pp. 235–238 (2009)

    Google Scholar 

  14. Riding, R.: Cognitive Style Analysis - Research Administration. Learning and Training Technology (2001)

    Google Scholar 

  15. Witkin, H.A., Moore, C.A., Goodenough, D.R., Cox, P.W.: Field-dependent and field-independent Cognitive Styles and their Educational Implications. Review of Educational Research 47, 1–64 (1977)

    Article  Google Scholar 

  16. Demetriou, A., Spanoudis, G., Shayer, S., Mouyi, A., Kazi, S., Platsidou, M.: Cycles in Speed-Working Memory-G Relations: Towards a Developmental-Differential Theory of the Mind. Intelligence 41, 34–50 (2013)

    Article  Google Scholar 

  17. Hunt, E.B.: Human Intelligence. Cambridge University Press, New York (2011)

    Google Scholar 

  18. Demetriou, A., Spanoudis, G., Mouyi, A.: Educating the Developing Mind: Towards an Overarching Paradigm. Educational Psychology Review 23(4), 601–663 (2011)

    Article  Google Scholar 

  19. MacLeod, C.M.: Half a Century of Research on the Stroop Effect: An Integrative review. Psychological Bulletin 109, 163–203 (1991)

    Article  Google Scholar 

  20. Posner, M.I., Raicle, M.E.: Images of Mind. Scientific American Library, New York (1997)

    Google Scholar 

  21. Stroop, J.R.: Studies of Interference in Serial Verbal Reactions. Experimental Psychology 18, 643–662 (1935)

    Article  Google Scholar 

  22. Baddeley, A.: Working Memory: Theories, Models, and Controversies. Annual Review of Psychology 63, 1–29 (2012)

    Article  Google Scholar 

  23. Baddeley, A.: Working Memory. Science 255(5044), 556–559 (1992)

    Article  Google Scholar 

  24. Conway, A.R.A., Cowan, N., Bunting, M.F., Therriault, D.J., Minkoff, S.R.: A Latent Variable Analysis of Working Memory Capacity, Short-term Memory Capacity, Processing Speed, and General Fluid Intelligence. Intelligence 30, 163–183 (2002)

    Article  Google Scholar 

  25. Shipstead, Z., Broadway, J.: Individual Differences in Working Memory Capacity and the Stroop Effect: Do High Spans Block the Words? Learning and Individual Differences (in press)

    Google Scholar 

  26. Demetriou, A., Christou, C., Spanoudis, G., Platsidou, M.: The Development of Mental Processing: Efficiency, Working Memory and Thinking. Monographs of the Society for Research in Child Development 67(1) (2002)

    Google Scholar 

  27. Unsworth, N., Spillers, G.: Working Memory Capacity: Attention Control, Secondary Memory, or Both? A Direct Test of the Dual-component Model. Memory and Language 62, 392–406 (2010)

    Article  Google Scholar 

  28. Cowan, N.: The Magical Mystery Four: How is Working Memory Capacity Limited, and Why? Current Directions in Psychological Science 19(1), 51–57 (2010)

    Article  Google Scholar 

  29. Klingberg, T.: The Overflowing Brain: Information Overload and the Limits of Working Memory. Oxford University Press, New York (2009)

    Google Scholar 

  30. Bursztein, E., Martin, M., Mitchell, J.: Text-based CAPTCHA Strengths and Weaknesses. In: 18th ACM International Conference on Computer and Communications Security, pp. 125–138. ACM Press, New York (2011)

    Google Scholar 

  31. Cook, T., Campbell, D.: Quasi-experimentation: Design and Analysis Issues for Field Settings. Houghton Mifflin Company, Boston (1979)

    Google Scholar 

  32. Brewer, M.: Research Design and Issues of Validity. In: Reis, H., Judd, C. (eds.) Handbook of Research Methods in Social and Personality Psychology, pp. 3–16. Cambridge University Press, Cambridge (2000)

    Google Scholar 

  33. Belk, M., Fidas, C., Germanakos, P., Samaras, G.: Do Cognitive Styles of Users Affect Preference and Performance Related to CAPTCHA Challenges? In: ACM International Conference on Human Factors in Computing Systems, pp. 1487–1492. ACM Press, New York (2012)

    Google Scholar 

  34. Holzinger, A., Lugmayr, A., Bogner, M.S.: Security and Usability Workshop. In: IEEE International Conference on Availability, Reliability and Security. IEEE Computing Society, Washington, DC (2009)

    Google Scholar 

  35. Belk, M., Germanakos, P., Fidas, C., Spanoudis, G., Samaras, G.: Studying the Effect of Human Cognition on Text- and Image-recognition CAPTCHA Mechanisms. In: International Conference on Human-Computer Interaction - HCI International. LNCS, Springer, Heidelberg (in press, 2013)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Cyprus, CY-1678, Nicosia, Cyprus

    Marios Belk, Panagiotis Germanakos, Christos Fidas & George Samaras

  2. SAP AG, Dietmar-Hopp-Allee 16, 69190, Walldorf, Germany

    Panagiotis Germanakos

  3. Institute for Medical Informatics, Statistics & Documentation, Research Unit HCI4MED, Medical University Graz, A-8036, Graz, Austria

    Andreas Holzinger

Authors
  1. Marios Belk
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  2. Panagiotis Germanakos
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  3. Christos Fidas
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  4. Andreas Holzinger
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  5. George Samaras
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Editor information

Editors and Affiliations

  1. Institute for Medical Informatics, Statistics and Documentation (IMI), Medical University Graz, Auenbruggerplatz 2/V, 8036, Graz, Austria

    Andreas Holzinger

  2. Human-Computer Interaction Center, RWTH Aachen University, Theaterplatz 14, 52056, Aachen, Germany

    Martina Ziefle

  3. Institute of Informatics Systems, Alpen-Adria Universität Klagenfurt, Universitätsstrasse 65-67, 9020, Klagenfurt, Austria

    Martin Hitz

  4. Faculty of Electrical and Computer Engineering, University of Maribor, Smetanova 17, 2000, Maribor, Slovenia

    MatjaĹľ Debevc

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Belk, M., Germanakos, P., Fidas, C., Holzinger, A., Samaras, G. (2013). Towards the Personalization of CAPTCHA Mechanisms Based on Individual Differences in Cognitive Processing. In: Holzinger, A., Ziefle, M., Hitz, M., Debevc, M. (eds) Human Factors in Computing and Informatics. SouthCHI 2013. Lecture Notes in Computer Science, vol 7946. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39062-3_26

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  • DOI: https://doi.org/10.1007/978-3-642-39062-3_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39061-6

  • Online ISBN: 978-3-642-39062-3

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