Skip to main content
Log in

Reading training by means of disappearing text: effects on reading performance and eye movements

  • Published:
Reading and Writing Aims and scope Submit manuscript

Abstract

The Reading Acceleration Program (RAP), which uses adaptively increasing text erasure rates to enforce reading rate improvements, has been positively evaluated in various languages, reader and age groups. The current study compared the established incremental increase of text erasure rate with a training using fixed erasure rates in two groups of young, non-impaired German adults. Eye-tracking measures prior and post training examined training-related changes of eye-movement patterns. Equal gains in reading performance in both training groups led to the conclusion that not the adaptive increase but already text erasure at fixed rates provides an economically efficient tool for the enhancement of reading rates. Furthermore, eye-tracking results suggest that text erasure training affects word processing not only at one specific level, but simultaneously at pre-lexical, lexical, and post-lexical stages. Although these outcomes are promising, further research is necessary to determine the optimal individual erasure rates that preserve good comprehension at varying levels of text difficulty and in different orthographies.

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

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Notes

  1. Differences in subsample size arose from organizational constraints. This study was part of a larger project, which also utilized EEG recordings. Due to restrictions of lab accessibility these data had to be collected in narrow time slots, which also limited the availability of suitable participants (e.g., vacations, exam periods etc.). In addition, three participants were tested in pre-tests, but were excluded due to a lack of training compliance. However, training group allocation (AER and FER) was random in every respect.

References

  • Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008). Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language, 59, 390–412.

    Article  Google Scholar 

  • Bach, M. (1996). The “Freiburg Visual Acuity Test”—Automatic measurement of visual acuity. Optometry and Vision Science, 73, 49–53.

    Article  Google Scholar 

  • Bates, D., Maechler, M., Bolker, B., & Walker, S. (2014). lme4: Linear mixed-effects models using Eigen and S4. R package version 1.1-7, Retrieved from http://CRAN.R-project.org/package=lme4.

  • Berninger, V. W., Lee, Y.-L., Abbott, R. D., & Breznitz, Z. (2013). Teaching children with dyslexia to spell in a reading-writers’ workshop. Annals of Dyslexia, 63, 1–24.

    Article  Google Scholar 

  • Brande, S. (2011). The effect of short term reading acceleration training on the reading ability of young dyslexics as compared to regular readers. (Unpublished doctoral dissertation). University of Haifa, Haifa, Israel. Retrieved from http://digitool.haifa.ac.il:80/webclient/DeliveryManager?pid=724851&custom_att_2=simple_viewer

  • Breznitz, Z. (1988). Reading performance of first graders: The effects of pictoral distractors. The Journal of Educational Research, 82, 47–52.

    Article  Google Scholar 

  • Breznitz, Z. (1997a). Effects of accelerated reading rate on memory for text among dyslexic readers. Journal of Educational Psychology, 89, 289–297.

    Article  Google Scholar 

  • Breznitz, Z. (1997b). Enhancing the reading of dyslexic children by reading acceleration and auditory masking. Journal of Educational Psychology, 89, 103–113.

    Article  Google Scholar 

  • Breznitz, Z. (2006). Fluency in reading: Synchronization of processes. Mahwah, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Breznitz, Z., & Berman, L. (2003). The underlying factors of word reading rate. Educational Psychology Review, 15, 247–265.

    Article  Google Scholar 

  • Breznitz, Z., & Nevat, M. (2006). Reading Acceleration Program [Computer software]. Haifa, Israel: University of Haifa.

    Google Scholar 

  • Breznitz, Z., & Share, D. L. (1992). Effects of accelerated reading rate on memory for text. Journal of Educational Psychology, 84, 193–199.

    Article  Google Scholar 

  • Breznitz, Z., Shaul, S., Horowitz-Kraus, T., Sela, I., Nevat, M., & Karni, A. (2013). Enhanced reading by training with imposed time constraint in typical and dyslexic adults. Nature Communications, 4, 1–6.

    Article  Google Scholar 

  • Coltheart, M., Rastle, K., Perry, C., Langdon, R., & Ziegler, J. (2001). DRC: A dual route cascaded model of visual word recognition and reading aloud. Psychological Review, 108, 204–256.

    Article  Google Scholar 

  • Dimigen, O., Sommer, W., Hohlfeld, A., Jacobs, A. M., & Kliegl, R. (2011). Coregistration of eye movements and EEG in natural reading: Analyses and review. Journal of Experimental Psychology: General, 140, 552–572.

    Article  Google Scholar 

  • Engbert, R., & Kliegl, R. (2003). Microsaccades uncover the orientation of covert attention. Vision Research, 43, 1035–1045.

    Article  Google Scholar 

  • Engbert, R., Nuthmann, A., Richter, E. M., & Kliegl, R. (2005). SWIFT: A dynamical model of saccade generation during reading. Psychological Review, 112, 777–813.

    Article  Google Scholar 

  • Evelyn Woods Reading Dynamics. (2015). Evelyn wood reading dynamics. Retrieved from http://www.ewrd.com/ewrd/index

  • Fox, J., & Weisberg, S. (2011). An R companion to applied regression (2nd ed.). Thousand Oaks, CA: Sage Publications.

    Google Scholar 

  • Frost, R., Katz, L., & Bentin, S. (1987). Strategies for visual word recognition and orthographical depth: A multilingual comparison. Journal of Experimental Psychology: Human Perception and Performance, 13, 104–115.

    Google Scholar 

  • Hatzidaki, A., Gianneli, M., Petrakis, E., Makaronas, N., & Aslanides, I. M. (2011). Reading and visual processing in Greek dyslexic children: An eye-movement study. Dyslexia, 17, 85–104.

    Article  Google Scholar 

  • Hawelka, S., Gagl, B., & Wimmer, H. (2010). A dual-route perspective on eye movements of dyslexic readers. Cognition, 115, 367–379.

    Article  Google Scholar 

  • Hiebert, E. H., Samuels, S. J., & Rasinski, T. (2012). Comprehension-based silent reading rates: What do we know? What do we need to know? Literacy Research and Instruction, 51, 110–124.

    Article  Google Scholar 

  • Hutzler, F., & Wimmer, H. (2004). Eye movements of dyslexic children when reading in a regular orthography. Brain and Language, 89, 235–242.

    Article  Google Scholar 

  • Judica, A., De Luca, M., Spinelli, D., & Zoccolotti, P. (2002). Training of developmental surface dyslexia improves reading performance and shortens eye fixation duration in reading. Neuropsychological Rehabilitation, 12, 177–197.

    Article  Google Scholar 

  • Just, M. A., & Carpenter, P. A. (1987). The psychology of reading and language comprehension. Needham Heights, MA: Allyn & Bacon.

    Google Scholar 

  • Kennison, S. M., & Clifton, C. (1995). Determinants of parafoveal preview benefit in high and low working memory capacity readers: Implications for eye movement control. Journal of Experimental Psychology. Learning, Memory, and Cognition, 21, 68–81.

    Article  Google Scholar 

  • Kliegl, R., Grabner, E., Rolfs, M., & Engbert, R. (2004). Length, frequency, and predictability effects of words on eye movements in reading. European Journal of Cognitive Psychology, 16, 262–284.

    Article  Google Scholar 

  • Kliegl, R., Masson, M. E. J., & Richter, E. M. (2010a). A linear mixed model analysis of masked repetition priming. Visual Cognition, 18, 655–681.

    Article  Google Scholar 

  • Kliegl, R., Nuthmann, A., & Engbert, R. (2006). Tracking the mind during reading: The influence of past, present, and future words on fixation durations. Journal of Experimental Psychology: General, 135, 12–35.

    Article  Google Scholar 

  • Kliegl, R., Wei, P., Dambacher, M., Yan, M., & Zhou, X. (2010b). Experimental effects and individual differences in linear mixed models: Estimating the relationship between spatial, object, and attraction effects in visual attention. Frontiers in Psychology, 1, 1–12.

    Google Scholar 

  • Korinth, S. P., Sommer, W., & Breznitz, Z. (2012). Does silent reading speed in normal adult readers depend on early visual processes? Evidence from event-related brain potentials. Brain and Language, 120, 15–26.

    Article  Google Scholar 

  • LaBerge, D., & Samuels, S. J. (1974). Toward a theory of automatic information processing in reading. Cognitive Psychology, 6, 293–323.

    Article  Google Scholar 

  • Nagler, T., Korinth, S. P., Linkersdörfer, J., Lonnemann, J., Rump, B., & Hasselhorn, M. (2015). Text-fading based training leads to transfer effects on children’s sentence reading fluency. Frontiers in Psychology, 6, 1–8.

    Article  Google Scholar 

  • Nagler, T., Lonnemann, J., Linkersdörfer, J., Hasselhorn, M., & Lindberg, S. (2014). The impact of reading material’s lexical accessibility on text fading effects in children’s reading performance. Reading and Writing: An Interdisciplinary Journal, 27, 841–853.

    Article  Google Scholar 

  • O’Regan, J. K. (1990). Eye movements and reading. In E. Kowler (Ed.), Eye movements and their role in visual and cognitive processes (pp. 395–453). Amsterdam, Netherlands: Elsevier.

    Google Scholar 

  • Osaka, N., & Osaka, M. (2010). Individual differences in working memory during reading with and without parafoveal information: A moving-window study. The American Journal of Psychology, 115, 501–513.

    Article  Google Scholar 

  • Paige, D. D. (2011). Testing the acceleration hypothesis: Fluency outcomes utilizing still-versus accelerated-text in sixth-grade students with reading disabilities. Literacy Research and Instruction, 50, 294–312.

    Article  Google Scholar 

  • Perfetti, C. A. (1985). Reading ability. New York, NY: Oxford University Press.

    Google Scholar 

  • R Core Team (2014). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Retrieved from http://www.R-project.org/.

  • Radach, R., Huestegge, L., & Reilly, R. (2008). The role of global top-down factors in local eye-movement control in reading. Psychological Research, 72, 675–688.

    Article  Google Scholar 

  • Radach, R., & Kennedy, A. (2004). Theoretical perspectives on eye movements in reading: Past controversies, current issues, and an agenda for future research. European Journal of Cognitive Psychology, 16, 3–26.

    Article  Google Scholar 

  • Radach, R., & Kennedy, A. (2013). Eye movements in reading: Some theoretical context. The Quarterly Journal of Experimental Psychology, 66, 429–452.

    Article  Google Scholar 

  • Radach, R., Vorstius, C., & Reilly, R. (2010, July). The science of speed reading: Exploring the impact of speed on visuomotor control and comprehension. In R. Radach (Chair), Eye movements in reading: Development and individual variability. Symposium conducted at theSeventeenth Annual Conference of the Society for the Scientific Study of Reading, Berlin, Germany.

  • Rayner, K. (1998). Eye movements in reading and information processing: 20 years of research. Psychological Bulletin, 124, 372–422.

    Article  Google Scholar 

  • Rayner, K. (2009). Eye movements in reading: Models and data. Journal of Eye Movement Research, 2(5), 1–10.

    Google Scholar 

  • Reichle, E. D. (2011). Serial attention models of reading. In S. P. Liversedge, I. D. Gilchrist, & S. Everling (Eds.), Oxford handbook of eye movements (pp. 767–786). Oxford, England: Oxford University Press.

    Google Scholar 

  • Reichle, E. D., Rayner, K., & Pollatsek, A. (2003). The E-Z Reader model of eye-movement control in reading: Comparisons to other models. Behavioral and Brain Sciences, 26, 445–526.

    Article  Google Scholar 

  • Reilly, R. G., & Radach, R. (2006). Some empirical tests of an interactive activation model of eye movement control in reading. Cognitive Systems Research, 7, 34–55.

    Article  Google Scholar 

  • Samuels, S. J., LaBerge, D., & Bremer, C. D. (1978). Units of word recognition: Evidence for developmental changes. Journal of Verbal Learning and Verbal Behavior, 17, 715–720.

    Article  Google Scholar 

  • Snellings, P., van Der Leij, A., de Jong, P. F., & Block, H. (2009). Enhancing the reading fluency and comprehension of children with reading disabilities in an orthographically transparent language. Journal of Learning Disabilities, 42, 291–305.

    Article  Google Scholar 

  • Statistics Canada and Organization for Economic Cooperation and Development (OECD). (2005). Learning a living: First results of the adult literacy and life skills survey. Ottawa, Canada: Author.

    Google Scholar 

  • Taylor Associates/Communications. (2009). Reading plus research, rationale & results: A report on the research basis and effectiveness of Reading Plus. Retrieved from www.readingplus.com.

  • Tran, K., Yu, C., Okumura, T., & Laukkanen, H. (2004). Effectiveness of an on-line computerized eye movement training program to improve oculomotor control in adult readers: A pilot study. Journal of Behavioral Optometry, 15(5), 115–121.

    Google Scholar 

  • Veenman, M. V. J., & Beishuizen, J. J. (2004). Intellectual and metacognitive skills of novices while studying texts under conditions of text difficulty and time constraint. Learning and Instruction, 14, 621–640.

    Article  Google Scholar 

  • Walczyk, J. J., Kelly, K. E., Meche, S. D., & Braud, H. (1999). Time limitations enhance reading comprehension. Contemporary Educational Psychology, 24, 156–165.

    Article  Google Scholar 

  • Ziegler, J. C., & Goswami, U. (2005). Reading acquisition, developmental dyslexia and skilled reading across languages: A psycholinguistic grain size theory. Psychological Bulletin, 131, 3–29.

    Article  Google Scholar 

  • Ziegler, J. C., Perry, C., Jacobs, A. M., & Braun, M. (2001). Identical words are read differently in different languages. Psychological Science, 12, 379–384.

    Article  Google Scholar 

  • Zoccolotti, P., De Luca, M., Di Pace, E., Judica, A., Orlandi, M., & Spinelli, D. (1999). Markers of developmental surface dyslexia in a language (Italian) with high grapheme–phoneme correspondence. Applied Psycholinguistics, 20, 191–216.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sebastian Peter Korinth.

Additional information

Zvia Breznitz, who passed away on May 18th 2014, initiated and contributed to this research project tremendously. While she took part in writing earlier drafts of this manuscript, she could not work anymore on the final manuscript. However, most certainly she would have approved the statements made here as part of her scientific legacy.

Please note that the RAP evaluated in this article is in no way related to the commercial software, which is marketed under a similar name, that is, the Accelerated Reader (http://www.renlearn.com/ar/).

Appendices

Appendix A: Example sentences used in AER and FER trainings

Sentence: Im heutigen Deutschland gibt es Menschen, die es sich nicht leisten können, eine Wohnung zu mieten. Question: Was können sich manche Menschen in Deutschland nicht leisten? Answer: (a) eine Wohnung zu mieten. (b) eine Wohnung zu kaufen. (c) ein Haus zu kaufen. [In today’s Germany there are people who can’t afford to rent an apartment. Question: What can’t some people afford? Answer: (a) renting a flat (b) buying a flat (c) buying a house].

Sentence: Viele Gegenstände des täglichen Bedarfs werden inzwischen nicht mehr in Deutschland sondern im Ausland hergestellt. Question: Viele Produkte werden: Answer: (a) im Ausland hergestellt. (b) werden in Deutschland hergestellt. (c) werden ins Ausland verkauft.

[Many items for everydays use are not produced in Germany anymore but abroad. Question: Many products: Answer: (a) are produced abroad. (b) are produced in Germany. (c) are sold abroad].

Appendix B: Example sentences of the Potsdam Sentence Corpus

Sentence: Wolfgangs Töchter studieren Literatur und Maschinenbau. Question: Was studiert eine von Wolfgangs Töchtern? Answer (a) Literatur (b) Linguistik (c) Germanistik [Wolfgang’s daughters study literature and engineering. Question: What does one of Wolfgang’s daughters study? Answer: (a) literature (b) linguistics (c) German].

Sentence: Kevin und Marie spielen oft im Garten. Question: Was tun Kevin und Marie im Garten? Answer: (a) spielen (b) toben (c) raufen [Kevin and Marie play often in the garden. Question: What are Kevin and Marie doing in the garden? Answer: (a) play (b) frolic (c) tussle].

Sentence: Die streikenden Fahrer konnte man kilometerweit hupen hören. Question: Wer streikt? Answer: (a) Bauern (b) Fahrer (c) Spediteure [One could hear the honking of the drivers on strike from miles away. Question: Who is on strike? Answer: (a) farmers (b) drivers (c) movers].

Sentence: Die Großmutter wog die Zutaten beim Backen sehr genau. Question: Wer wog die Zutaten ab? (a) Oma (b) Großmutter (c) Tante [Grandmother weighted the backing ingredients precisely. Question: Who weighted the ingredients? Answer: (a) granny (b) grandmother (c) aunt].

Appendix C: Data quality

For the employed version of the SMI IView X Hi-Speed system, the manufacturer reports an instrument spatial resolution of less than 0.025° and an absolute gaze position accuracy of 0.2°. Since at least the first value is based on measurements with an artificial eye, these accuracies do not necessarily generalize to experimental data recorded under realistic conditions. However, similar to the procedure used in Dimigen, Sommer, Hohlfeld, Jacobs, & Kliegl (2011), calibration accuracy at the horizontal line on which the sentences were presented was checked before and after each trial with tolerance limits set to 0.5°.

In addition, differences between pre- and post-tests and/or training groups might be caused by unequal numbers of valid (i.e., artifact free) trials entering statistical analysis. A repeated measures ANOVA did not indicate pre- and post-tests differences in the number of valid trials, F < 1. Also, the factor pre-post-test did not show a significant interaction with the factor training group, F(1,29) = 3.5, ns, see Table 7 for details.

Table 7 Descriptive statistics: valid eye-tracking trials for each training group before and after training

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Korinth, S.P., Dimigen, O., Sommer, W. et al. Reading training by means of disappearing text: effects on reading performance and eye movements. Read Writ 29, 1245–1268 (2016). https://doi.org/10.1007/s11145-016-9635-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11145-016-9635-y

Keywords

Navigation