Abstract
Adults with dyslexia may find difficulties in reading the messages on variable message signs (VMS) while driving. These signs are an essential part of the traffic communication systems, aimed at informing road users of special circumstances, such as congestion, traffic diversion, or unexpected events. A driving simulation experiment was conducted to test if complementary audio versions of the VMS would be helpful for drivers with dyslexia. Twenty adults with dyslexia and 20 matched controls participated. They were asked to classify the messages displayed on VMS posted along a simulated route, which was completed twice: one with text VMS (visual condition), and another one with text VMS plus complementary audio messages (audio + visual condition). The results showed that in the ordinary, visual condition, the participants with dyslexia needed to be closer to the VMS than controls to correctly classify the message, but, crucially, these group differences vanished when the driver received an audio version of the message (audio + visual condition). Moreover, the availability of audio versions had positive effects for all participants, as shown by higher accuracy in the message classification task, as well as better driving performance. Therefore, technologies aimed at providing audio versions of VMS can help drivers with dyslexia. A mobile application, READit VMS, which is able to provide real-time complementary audio versions of VMS, is presented as an example.
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References
American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Washington, DC: Author.
Asociación Española de Normalización y Certificación, 2015. Señalización vertical en carretera. Paneles de mensaje variable. Norma EN 12966:2014. AENOR, Madrid.
Banfi, C., Kemény, F., Gangl, M., Schulte-Körne, G., Moll, K., & Landerl, K. (2017). Visuo-spatial cueing in children with differential reading and spelling profiles. PLoS ONE, 12(7), e0180358. https://doi.org/10.1371/journal.pone.0180358.
Bates, D., Maechler, M., Bolker, B. M., & Walker, S. C. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1-48. doi: https://doi.org/10.18637/jss.v067.i01
Bekiaris, E., Gaitanidou, E., Panou, M., Kalogirou, K., & Spanidis, P. (2011). As you like it. In E. Bekiaris, M. Wiethoff, & E. Gaitanidou (Eds.), Infrastructure and safety in a collaborative world, road traffic safety (pp. 285–301). Berlin Heidelberg: Springer. https://doi.org/10.1007/978-3-642-18372-0.
Bogon, J., Finke, K., Schulte-Korne, G., Muller, H. J., Schneider, W. X., & Stenneken, P. (2014). Parameter-based assessment of disturbed and intact components of visual attention in children with developmental dyslexia. Developmental Science, 17(5), 697–713. https://doi.org/10.1111/desc.12150.
Bosse, M. L., Tainturier, M. J., & Valdois, S. (2007). Developmental dyslexia: The visual attention span deficit hypothesis. Cognition, 104(2), 198–230. https://doi.org/10.1016/j.cognition.2006.05.009.
Brachacki, G. W., Nicolson, R. I., & Fawcett, A. J. (1995). Impaired recognition of traffic signs in adults with dyslexia. Journal of Learning Disabilities, 28(5), 297–301. https://doi.org/10.1177/002221949502800505.
Carrillo Gallego, M. S., Alegría Iscoa, J., Miranda López, P., & Sánchez Pérez, N. (2011). Evaluación de la dislexia en la escuela primaria: Prevalencia en español. Escritos de Psicología, 4(2), 35–44.
Cuetos, F., Arribas, D., & Ramos, J. L. (2016). Batería de evaluación de los procesos lectores en secundaria y bachillerato, revisada (PROLEC-SE-R). Madrid: TEA.
Dalton, P., Agarwal, P., Fraenkel, N., Baichoo, J., & Masry, A. (2013). Driving with navigational instructions: Investigating user behaviour and performance. Accident Analysis and Prevention, 50, 298–303. https://doi.org/10.1016/j.aap.2012.05.002.
Dirección General de Tráfico. (2018). Anuario Estadístico General 2017. Madrid: Author. Retrieved from http://www.dgt.es/Galerias/seguridad-vial/estadisticas-e-indicadores/publicaciones/anuario-estadistico-de-general/Anuario-estadistico-general-2017.pdf
Dole, M., Meunier, F., & Hoen, M. (2014). Functional correlates of the speech-in-noise perception impairment in dyslexia: An MRI study. Neuropsychologia, 60, 103–114. https://doi.org/10.1016/j.neuropsychologia.2014.05.016.
Fawcett, A. J., & Nicolson, R. I. (1992). Automatisation deficits in balance for dyslexic children. Perceptual and Motor Skills, 75(2), 507–529. https://doi.org/10.2466/pms.1992.75.2.507.
Fisher, C., Chekaluk, E., & Irwin, J. (2015). Impaired driving performance as evidence of a magnocellular deficit in dyslexia and visual stress. Dyslexia, 21(4), 350–360. https://doi.org/10.1002/dys.1504.
Franceschini, S., Mascheretti, S., Bertoni, S., Trezzi, V., Andreola, C., Gori, S., & Facoetti, A. (2018). Sluggish dorsally-driven inhibition of return during orthographic processing in adults with dislexia. Brain and Language, 179, 1–10. https://doi.org/10.1016/j.bandl.2018.01.009.
Gori, S., Cecchini, P., Bigoni, A., Molteni, M., & Facoetti, A. (2014). Magnocellular-dorsal pathway and sub-lexical route in developmental dyslexia. Frontiers in Human Neuroscience, 8, 460. https://doi.org/10.3389/fnhum.2014.00460.
Goswami, U. (2011). A temporal sampling framework for developmental dyslexia. Trends in Cognitive Sciences, 15, 3–10. https://doi.org/10.1016/j.tics.2010.10.001.
Haft, S. L., Myers, C. A., & Hoeft, F. (2016). Socio-emotional and cognitive resilience in children with reading disabilities. Current Opinion in Behavioral Sciences, 10, 133–141. https://doi.org/10.1016/j.cobeha.2016.06.005.
Jaeger, T. F. (2008). Categorical data analysis: Away from ANOVAs (transformation or not) and towards logit mixed models. Journal of memory and language, 59(4), 434–446. https://doi.org/10.1016/j.jml.2007.11.007.
Jiménez, J. E., Guzmán, R., Rodríguez, C., & Artiles, C. (2009). Prevalence of specific learning disabilities: The case of dyslexia in Spain. Anales de Psicología, 25(1), 78–85.
Leather, C., Hogh, H., Seiss, E., & Everatt, J. (2011). Cognitive functioning and work success in adults with dyslexia cognitive functions and success. Dyslexia, 17(4), 327–338. https://doi.org/10.1002/dys.441.
López-Escribano, C., Suro Sánchez, J., & Leal Carretero, F. (2018). Prevalence of developmental dyslexia in Spanish university students. Brain sciences, 8(5), 82.
Moll, K., Kunze, S., Neuhoff, N., Bruder, J., & Schulte-Körne, G. (2014). Specific learning disorder: Prevalence and gender differences. PLoS ONE, 9(7), e103537. https://doi.org/10.1371/journal.pone.0103537.
Morgan, P. L., Farkas, G., & Wu, Q. (2011). Do poor readers feel angry, sad, and unpopular? Scientific studies of reading, 16(4), 360–381. https://doi.org/10.1080/10888438.2011.570397.
Navon, D., & Gopher, D. (1979). On the economy of the human-processing system. Psychological Review, 86(3), 214–255. https://doi.org/10.1037/0033-295X.86.3.214.
Nicolson, R. I., & Fawcett, A. J. (1990). Automaticity: A new framework for dyslexia research? Cognition, 35(2), 159–182. https://doi.org/10.1016/0010-0277(90)90013-A.
Nicolson, R. I., Fawcett, A. J., & Dean, P. (2001). Developmental dyslexia: The cerebellar deficit hypothesis. Trends in Neuroscience, 24, 508–511. https://doi.org/10.1016/S0166-2236(00)01896-8.
Peterson, R. L., & Pennington, B. F. (2015). Developmental dyslexia. Annual Review of Clinical Psychology, 11, 283–307. https://doi.org/10.1146/annurev-clinpsy-032814-112842.
R Core Team. (2018). R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. Retrieved from https://www.Rproject.org.
Roca, J. & Tejero, P. (2020). On the right track? Difficulties of drivers with dyslexia searching target words in traffic signs. Manuscript in preparation.
Roca, J., Insa, B., & Tejero, P. (2018). Legibility of text and pictograms in variable message signs: can single-word messages outperform pictograms? Human Factors, 60(3), 384–396. https://doi.org/10.1177/0018720817751623.
Roca, J., Tejero, P., & Insa, B. (2018). Accident ahead? Difficulties of drivers with and without reading impairment recognising words and pictograms in variable message signs. Applied Ergonomics, 67, 83–90. https://doi.org/10.1016/j.apergo.2017.09.013.
Serrano, F., Defior, S., & Martos, F. (2003). To be or not to be phonologically aware: A reflection about metalinguistic skills of student of teacher. In R. M. Joshi, C. K. Leong, & B. L. J. Kaczmarek (Eds.), Literacy acquisition: The role of phonology, morphology and orthography (pp. 209–215). Amsterdam, the Netherlands: IOS Press.
Sigmundsson, H. (2005). Do visual processing deficits cause problem on response time task for dyslexics? Brain and Cognition, 58(2), 213–216. https://doi.org/10.1016/j.bandc.2004.11.007.
Smythe, I., & Everatt, J. (2001). Adult checklist. Retrieved from http://www.bdadyslexia.org.uk/common/ckeditor/filemanager/ userfiles/Adult-Checklist.pdf
Stein, J. (2001). The magnocellular theory of developmental dyslexia. Dyslexia, 7(1), 12–36. https://doi.org/10.1002/dys.186.
Stein, J. (2012). The neurobiological basis of dyslexia: The magnocellular theory. In The handbook of the neuropsychology of language (pp. 938–962). Hoboken, NJ, USA: Wiley-Blackwell. https://doi.org/10.1002/9781118432501.ch45.
Stein, J. (2018). What is developmental dyslexia? Brain sciences, 8(2), 26. https://doi.org/10.3390/brainsci8020026.
Stein, J., & Walsh, V. (1997). Too see but not to read; The magnocellular theory of dyslexia. Trends in Neuroscience, 20, 147–152. https://doi.org/10.1016/s0166-2236(96)01005-3.
Talcott, J. B., Hansen, P. C., Willis-Owen, C., McKinnell, I. W., Richardson, A. J., & Stein, J. F. (1998). Visual magnocellular impairment in adult developmental dyslexics. Neuro-Ophthalmology, 20, 187–201. https://doi.org/10.1076/noph.20.4.187.3931.
Taylor, B., Chekaluk, E., & Irwin, J. (2016). Reading the situation: The relationship between dyslexia and situational awareness for road sign information. Transportation Research Part F: Traffic Psychology and Behaviour, 36, 6–13. https://doi.org/10.1016/j.trf.2015.11.005.
Tejero, P., Insa, B., & Roca, J. (2019). Difficulties of drivers with dyslexia when reading traffic signs: Analysis of reading, eye gazes, and driving performance. Journal of Learning Disabilities, 52(1), 84–95. https://doi.org/10.1177/0022219418765766.
U.S. Department of Transportation, Federal Highway Administration. (2018). Highway Statistics 2017, DL-20. Retrieved from https://www.fhwa.dot.gov/policyinformation/statistics/2017/pdf/dl20.pdf
Wechsler, D. (2012). Escala de inteligencia de Wechsler para adultos-IV [Wechsler Intelligence Scale for Adults]. Madrid, Spain: NCS Pearson.
Wickens, C. D. (2002). Multiple resources and performance prediction. Theoretical Issues in Ergonomics Science, 3(2), 159–177. https://doi.org/10.1080/14639220210123806.
Acknowledgments
We thank all the volunteers that participated in the study. In addition, we thank Beatriz Insa Sánchez for her supportive functions in recruiting the participants, as well as in collecting and entering the data.
Funding
The conduct of the present study was partially funded by the Dirección General de Tráfico (the Spanish Directorate-General for Traffic) (grant number SPIP2017-02132). This sponsor had no involvement in the design of the study; nor in the collection, analysis, or interpretation of data; the writing of the report; or the decision to submit the article for publication in Annals of Dyslexia.
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Tejero, P., Pi-Ruano, M. & Roca, J. Better read it to me: Benefits of audio versions of variable message signs in drivers with dyslexia. Ann. of Dyslexia 70, 295–312 (2020). https://doi.org/10.1007/s11881-020-00199-6
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DOI: https://doi.org/10.1007/s11881-020-00199-6