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Measure of the Attentional Bias in Children Using Eye Tracking During a Psychological Test

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Advances in Usability, User Experience, Wearable and Assistive Technology (AHFE 2021)

Abstract

Eye tracking technology obtains and analyzes the visual behavior of a person towards a certain image. It offers the opportunity to know the fixation patterns of children through a test, which evaluates sustained and selective attention. From the neuropsychological point of view, attention is the basis for a correct cognitive functioning, characterized for showing interest in a particular stimulus or focusing on the same task. Therefore, it is of great importance the application of an examination of attentional functions in children from 7 to 9 years old in order to rule out possible alterations that interfere directly in their learning processes. A pre-validation process was performed with a group of 10 children; the results show that test application time was reduced to an average time of 2 min, compared to the 7 min duration when using pencil and paper.

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References

  1. Soprano, A.M.: Cómo evaluar la atención y las funciones ejecutivas en niños y adolescentes. Paidós, Buenos Aires (2010)

    Google Scholar 

  2. Luria, A.: El cerebro en acción. Roca, México (1989)

    Google Scholar 

  3. Brickenkamp, R.: Aufmerksamkeits-Belastungs-Test (Test D2): Hogrefe. Gottingen, Alemania (1962)

    Google Scholar 

  4. Schretlen, D.: Brief test of attention: PAR. Odessa (1997)

    Google Scholar 

  5. Zalabardo, B., López, D.: Atención global-local. TEA ediciones, España (2001)

    Google Scholar 

  6. Cobos, M., Pacurucu, A., Ortega, P., Astudillo, C.: Los procesos atencionales y su evaluación con la utilización de software. Cuenca, Ecuador (2017)

    Google Scholar 

  7. Duchowski, A.: Eye Tracking Methodology. Theory and Practice. Springer, vol. 2, p. 335 (2007). https://doi.org/10.1007/978-1-84628-609-4

  8. Anden, R., Linstead, E.: Predicting eye movement and fixation patterns on scenic images using machine learning for children with autism spectrum disorder. In: International Conference on Bioinformatics and Biomedicine, South Korea, pp. 2563–2569 (2020)

    Google Scholar 

  9. Lee, T., Yeung, M., Sze, S., Chan, A.: Computerized eye-tracking training improves the saccadic eye movements of children with attention-deficit/hyperactivity disorder. Brain Sci. 10(12), 1016 (2020)

    Google Scholar 

  10. Karlsson, P., Wallen, M.: Parent perception of two eye-gaze control technology systems in young children with cerebral palsy: pilot study. Stud. Health Technol. Inf. 242, 1095–1102 (2017)

    Google Scholar 

  11. Alvarado-Cando, O., Belén Jara, G., Barzallo, P., Torres-Salamea, H.: A software based on eye gaze to evaluate mathematics in children with cerebral palsy in inclusive education. In: Ahram, T.Z., Falcão, C. (eds.) Advances in Usability, User Experience and Assistive Technology. Advances in Intelligent Systems and Computing, vol. 794, pp. 909–915. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-94947-5_89

    Chapter  Google Scholar 

  12. Shakhovska, N. (ed.): Advances in intelligent systems and computing. Advances in Intelligent Systems and Computing, vol. 512. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-45991-2

    Book  Google Scholar 

  13. Chen, Z., Du, J., Xiang, M., Zhang, Y., Zhang, S.: Social exclusion leads to attentional bias to emotional social information: evidence from eye movement. PLoS ONE 12(10), e0186313 (2017)

    Article  Google Scholar 

  14. Navarro, Ó., Molina, A., Lacruz, M.: Utilización de eye tracking para evaluar el uso de información verbal en materiales multimedia. Pixel-bit 48, 51–66 (2016)

    Article  Google Scholar 

  15. Tobiidynavox. https://www.tobiidynavox.com/es/productos/software/.

  16. Thurstone, L., Yela, M.: Test de percepción de diferencias-Revisado, 16 edn. Tea Ediciones (2012)

    Google Scholar 

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Correspondence to Andrea Argudo-Vásconez .

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Argudo-Vásconez, A., Alvarado-Cando, O., Caldero, C., Buele, F., Ortega-Chasi, P., Cobos-Cali, M. (2021). Measure of the Attentional Bias in Children Using Eye Tracking During a Psychological Test. In: Ahram, T.Z., Falcão, C.S. (eds) Advances in Usability, User Experience, Wearable and Assistive Technology. AHFE 2021. Lecture Notes in Networks and Systems, vol 275. Springer, Cham. https://doi.org/10.1007/978-3-030-80091-8_96

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  • DOI: https://doi.org/10.1007/978-3-030-80091-8_96

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