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Volume 5, Numéro 1 de la revue scientifique bilingue en libre accès Neuroéducation

P.-M. Léger et al.

P.-M. Léger et al. Guidelines for Eye Tracking in Child and Teenager Research in the Context of Learning with a Tablet click on an answer. In this case, the natural flexion of the elbow joint was not a concern for data steadiness. Another issue in usability testing with young children is their inability to avoid unnecessary movements and concentrate on the tablet. It is essential to make them understand the importance of looking at the tablet and maintain a good posture without leaning forward or leaning backwards and to remind them about it during the experiment if needed. In our experience, they should also be reminded to keep their hands away from their face at regular intervals. Guideline #4: Optimizing ecological validity The measurement dilemma being difficult to solve, researchers must make sure an authentic context for efficient usability and hypothesis testing is reproduced as closely as possible. This principle applies to all the guidelines presented above. Children should be as comfortable as possible and the setup itself must interfere minimally with the task being tested. It is suggested to use a sufficiently large desk and an ergonomic chair designed for children, and to position the tablet in a way that avoids holding the heavy device or leaning towards it to be able to perform its task. The eye level should be the reference. A comfortable setup will avoid any unnecessary movement that could damage data steadiness and complicate the analysis. Finding the right setup may require a series of tests and iterations. 6. Conclusion Research that leverages neuroscientific measures such as eye tracking data has potential in education (Jarodzka, Holmqvist, & Gruber, 2017). However, it is important to find the optimal setup of the eye tracker to measure visual attention with a high degree of validity and reliability. The aforementioned specific guidelines should help researchers in developing research protocols allowing to recreate these ecologically valid contexts to properly and efficiently measure visual attention when children interact with educational applications. References Alkan, S., & Cagiltay, K. (2007). Studying computer game learning experience through eye tracking. British Journal of Educational Technology, 38(3), 538–542. Barendregt, W., & Bekker, M. (2003). Guidelines for user testing with children. Technical report. Eindhoven, The Netherlands: Eindhoven University of Technology. g_with_children.pdf Donker, A., & Reitsma, P. (2004, June). Usability testing with young children. Proceedings of the 2004 conference on Interaction design and children building a community - IDC '04 (pp. 43-48). New York, NY: ACM. Falck-Ytter, T., Bölte, S., & Gredebäck, G. (2013). Eye tracking in early autism research. Journal of Neurodevelopmental Disorders, 5(1), 28. Feng, G. (2011). Eye Tracking: A brief guide for developmental researchers. Journal of Cognition and Development, 12(1), 1-11. Goldberg, H. J., & Wichansky, A. M. (2003). Eye tracking in usability evaluation: A practitioner’s guide. In J. Hyönä, R. Radach, & H. Deubel (Eds.), The mind's eye: Cognitive and applied aspects of eye movement research (pp. 493-516). Amsterdam: Elsevier Science BV. Gredebäck, G., Johnson, S., & von Hofsten, C. (2009). Eye tracking in infancy research. Developmental Neuropsychology, 35(1), 1-19. Hanna, L., Risden, K., & Alexander, K. (1997). Guidelines for usability testing with children. Interactions, 4(5), 9-14. Hartson, R., & Pyla, P. S. (2012). The UX Book: Process and guidelines for ensuring a quality user experience. Waltham, MA: Elsevier. Hyönä, J., Lorch Jr., R. F., & Kaakinen, J. K. (2002). Individual differences in reading to summarize expository text: Evidence from eye fixation patterns. Journal of Educational Psychology, 94(1), 44–55. Jarodzka, H., Holmqvist, K., & Gruber, H. (2017). Eye tracking in Educational Science: Theoretical frameworks and research agendas. Journal of Eye Movement Research, 10(1), 1-18. Johansen, S., Hansen, S., Agustin, S., Tall, M., & Skovsgaard, H. (2011, May). Low cost vs. high-end eye tracking for usability testing. In Proceedings of the 2011 annual conference extended abstracts on Human factors in computing systems - CHI EA '11 (pp. 1177-1182). New York, NY: ACM. Johnson, S. P., Slemmer, J. A., & Amso, D. (2004). Where infants look determines how they see: Eye movements and object perception performance in 3-month-olds. Infancy, 6(2), 185–201. Just, M. A., & Carpenter, P. A. (1980). A theory of reading: From eye fixations to comprehension. Psychological Review, 87(4), 329–354. NEUROEDUCATION 2018 | Volume 5 | Issue 1 39

P.-M. Léger et al. Guidelines for Eye Tracking in Child and Teenager Research in the Context of Learning with a Tablet Karamchandani, H., Chau, T., Hobbs, D., & Mumford, L. (2015, November). Development of a low-cost, portable, tabletbased eye tracking system for children with impairments. Proceedings of the International Convention on Rehabilitation Engineering & Assistive Technology. Singapore Therapeutic, Assistive & Rehabilitative Technologies (START) (pp. 1-4). Centre. Singapore: START Centre. Masood, M., & Thigambaram, M. (2015). The usability of mobile applications for pre-schoolers. Procedia-Social and Behavioral Sciences, 197, 1818-1826. Oakes, L. (2012). Advances in eye tracking in infancy research. Infancy, 17(1), 1-8. Ozcelik, E., Karakus, T., Kursun, E., & Cagiltay, K. (2009). An eye tracking study of how color coding affects multimedia learning. Computers & Education, 53(2), 445- 453. Poole, A., & Ball, L. (2006). Eye tracking in HCI and usability research. In C. Ghaoui (Ed.), Encyclopedia of Human Computer Interaction (1 st ed., pp. 211-219). Hershey, PA: Idea Group. 7.ch034 Read, J. (2015). Children as participants in design and evaluation. Interactions, 22(2), 64-66. Sasson, N., & Elison, J. (2012). Eye tracking young children with autism. Journal of Visualized Experiments, 61, e3675. She, H. C., & Chen, Y. Z. (2009). The impact of multimedia effect on science learning: evidence from eye movements. Computers & Education, 53(4), 1297–1307. Sonderegger, A., Schmutz, S., & Sauer, J. (2016). The influence of age in usability testing. Applied Ergonomics, 52, 291- 300. Tsai, M., Hou, H., Lai, M., Liu, W., & Yang, F. (2012). Visual attention for solving multiple-choice science problem: An eye tracking analysis. Computers & Education 58(1), 375-385. Wipfli, R. (2008). Sequential display of diagrams: How does it affect exploration and memorization? Master’s thesis, University of Geneva, Switzerland. Yen, M., & Yang, F. (2015). Methodology and application of eye tracking techniques in science education. In M. H. Chiu (Ed.), Science Education Research and Practices in Taiwan (pp. 249-277). Singapore: Springer. NEUROEDUCATION 2018 | Volume 5 | Issue 1 40

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