Visual Preferences of Elementary School Children with Autism Spectrum Disorder: An Experimental Study
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Visual Preferences of Elementary School Children with Autism Spectrum Disorder: An Experimental Study

Authors: Larissa Pliska, Isabel Neitzel, Michael Buschermöhle, Olga Kunina-Habenicht, Ute Ritterfeld

Abstract:

Visual preferences, which can be assessed using eye tracking technologies, are considered one of the defining hallmarks of autism spectrum disorder (ASD). Specifically, children with ASD show a decreased preference for social images rather than geometric images compared to typically developed (TD) children. Such differences are already prevalent at a very early age and indicate the severity of the disorder: toddlers with ASD who preferred geometric images when confronted with social and geometric images showed higher ASD symptom severity than toddlers with ASD who showed higher social attention. Furthermore, the complexity of social images (one child playing vs. two children playing together) as well as the mode of stimulus presentation (video or image), are not decisive for the marker. The average age of diagnosis for ASD in Germany is 6.5 years, and visual preference data on this age group are missing. In the present study, we therefore investigated whether visual preferences persist into school age. We examined the visual preferences of 16 boys aged 6 to 11 years with ASD and unimpaired cognition as well as TD children (1:1 matching based on children's age and the parent's level of education) within an experimental setting. Different stimulus presentation formats (images vs. videos) and different levels of stimulus complexity were included. Children with and without ASD received pairs of social and non-social images and video stimuli on a screen while eye movements (i.e., eye position and gaze direction) were recorded. For this specific use case, KIZMO GmbH developed a customized, native iOS app (KIZMO Face-Analyzer) for use on iPads. Neither the format of stimulus presentation nor the complexity of the social images had a significant effect on the visual preference of children with and without ASD in this study. Despite the tendency for a difference between the groups for the video stimuli, there were no significant differences. Overall, no statistical differences in visual preference occurred between boys with and without ASD, suggesting that gaze preference in these groups is similar at elementary school age. One limitation is that the children with ASD were already receiving ASD-specific intervention. The potential of a visual preference task as an indicator of ASD can be emphasized. The article discusses the clinical relevance of this marker in elementary school children.

Keywords: Autism spectrum disorder, eye tracking, hallmark, visual preference.

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References:


[1] American Psychiatric Association, Diagnostic and statistical manual of mental disorders. Arlington. American Psychiatric Publishing, 2013.
[2] Z. Ambarchi, K. A. Boulton, R. Thapa, E. E. Thomas, M. M. DeMayo, and N. J. Sasson, et al., “Evidence of a reduced role for circumscribed interests in the social attention patterns of children with Autism Spectrum Disorder,” Journal of autism and developmental disorders, vol. 53, pp. 3999–4011, 2023.
[3] X. Gong, X. Li, Q. Wang, S. P. Hoi, T. Yin, and L. Zhao, et al., “Comparing visual preferences between autism spectrum disorder (ASD) and normal children to explore the characteristics of visual preference of ASD children by improved visual preference paradigm: a case-control study,” Translational pediatrics, vol. 10, pp. 2006–2015, 2021.
[4] E. C. Bacon, A. Moore, Q. Lee, C. Carter Barnes, E. Courchesne, and K. Pierce, “Identifying prognostic markers in autism spectrum disorder using eye tracking,” Autism, vol. 24, pp. 658–669, 2020.
[5] N. I. Vargas-Cuentas, A. Roman-Gonzalez, R. H. Gilman, F. Barrientos, J. Ting, and D. Hidalgo, et al., “Developing an eye-tracking algorithm as a potential tool for early diagnosis of autism spectrum disorder in children,” PloS one, vol. 12, e0188826, 2017.
[6] N. J. Sasson and E. W. Touchstone, “Visual attention to competing social and object images by preschool children with autism spectrum disorder,” Journal of autism and developmental disorders, vol. 44, pp. 584–592, 2014.
[7] J. Vacas, A. Antolí, A. Sánchez-Raya, C. Pérez-Dueñas, and F. Cuadrado, “Visual preference for social vs. non-social images in young children with autism spectrum disorders. An eye tracking study,” PloS one, vol. 16, 2021.
[8] Q. Wang, S. P. Hoi, C. Song, T. Li, C. M. Lam, and Y. Wang, et al., “Circumscribed Interest Modulates Attention to Eyes in Boys with and Without Autism Spectrum Disorder,” Frontiers in psychiatry, vol. 12, p. 627365, 2021.
[9] K. Chawarska, S. Macari, and F. Shic, “Decreased spontaneous attention to social scenes in 6-month-old infants later diagnosed with autism spectrum disorders,” Biological psychiatry, vol. 74, pp. 195–203, 2013.
[10] J. Parish-Morris, C. Chevallier, N. Tonge, J. Letzen, J. Pandey, and R. T. Schultz, “Visual attention to dynamic faces and objects is linked to face processing skills: a combined study of children with autism and controls,” Frontiers in psychology, vol. 4, 2013.
[11] J. Kou, J. Le, M. Fu, C. Lan, Z. Chen, and Q. Li, et al., “Comparison of three different eye‐tracking tasks for distinguishing autistic from typically developing children and autistic symptom severity.,” Autism research, vol. 12, pp. 1529–1540, 2019.
[12] F. Robain, M. Godel, N. Kojovic, M. Franchini, F. Journal, and M. Schaer, “Measuring social orienting in preschoolers with autism spectrum disorder using cartoons stimuli,” Journal of psychiatric research, vol. 156, pp. 398–405, 2022.
[13] C. M. Gale, S. Eikeseth, and L. Klintwall, “Children with Autism show Atypical Preference for Non-social Stimuli,” Scientific reports, vol. 9, p. 10355, 2019.
[14] K. Pierce, D. Conant, R. Hazin, R. Stoner, and J. Desmond, “Preference for geometric patterns early in life as a risk factor for autism.,” Archives of General Psychiatry, vol. 68, pp. 101–109, 2011.
[15] K. Pierce, S. Marinero, R. Hazin, B. McKenna, C. C. Barnes, and A. Malige, “Eye Tracking Reveals Abnormal Visual Preference for Geometric Images as an Early Biomarker of an Autism Spectrum Disorder Subtype Associated with Increased Symptom Severity,” Biological psychiatry, vol. 79, pp. 657–666, 2016.
[16] A. Moore, M. Wozniak, A. Yousef, C. C. Barnes, D. Cha, and E. Courchesne, et al., “The geometric preference subtype in ASD: identifying a consistent, early-emerging phenomenon through eye tracking,” Molecular autism, vol. 9, 2018.
[17] Q. Wang, Y. Hu, D. Shi, Y. Zhang, X. Zou, and S. Li, et al., “Children with Autism Spectrum Disorder Prefer Looking at Repetitive Movements in a Preferential Looking Paradigm,” Journal of autism and developmental disorders, vol. 48, pp. 2821–2831, 2018.
[18] M. Matyjek, N. Bast, and S. Soto Faraco, Is there a social motion preference in autistic adults? Frankfurt am Main, Mar, 2024.
[19] L. Shi, Y. Zhou, J. Ou, J. Gong, S. Wang, and X. Cui, et al., “Different visual preference patterns in response to simple and complex dynamic social stimuli in preschool-aged children with autism spectrum disorders,” PloS one, vol. 10, e0122280, 2015.
[20] L. Strathearn, S. Kim, D. A. Bastian, J. Jung, U. Iyengar, and S. Martinez, et al., “Visual systemizing preference in children with autism: A randomized controlled trial of intranasal oxytocin,” Development and psychopathology, vol. 30, pp. 511–521, 2018.
[21] J. Höfer, F. Hoffmann, I. Kamp-Becker, L. Poustka, V. Roessner, and S. Stroth, et al., “Pathways to a diagnosis of autism spectrum disorder in Germany: a survey of parents,” Child and adolescent psychiatry and mental health, vol. 13, 2019.
[22] C. Lord, T. S. Brugha, T. Charman, J. Cusack, G. Dumas, and T. Frazier, et al., “Autism spectrum disorder,” Nature reviews. Disease primers, vol. 6, 2020.
[23] S. Bölte and F. Poustka, FSK. Fragebogen zur Sozialen Kommunikation - Autismus-Screening. German version of the Social Communication Questionnaire (SCQ) von Michael Rutter, Anthony Bailey und Catherine Lord. Göttingen. Hogrefe, 2006.
[24] P. Sedgwick, “Pearson's correlation coefficient,” BMJ, vol. 345, 2012.
[25] L. Pliska, I. Neitzel, M. Buschermöhle, and U. Ritterfeld, “Comparison of Different Interaction Formats for Automatized Analysis of Symptoms in Children with Autism Spectrum Disorder,” in Universal Access in Human-Computer Interaction. HCII 2023. M. Antona, C. Stephanidis, Eds. Cham: Springer, 2023.
[26] L. Polzer, C. M. Freitag, and N. Bast, “Pupillometric measures of altered stimulus-evoked locus coeruleus-norepinephrine activity explain attenuated social attention in preschoolers with autism spectrum disorder,” Autism research, vol. 15, pp. 2167–2180, 2022.
[27] The MathWorks Inc., MATLAB (Software), https://de.mathworks.com/products/matlab.html?s_tid=hp_ff_p_matlab, 2021.
[28] R Core Team, R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing (Computer Software). Vienna, http://www.R-project.org/, 2023.
[29] H.-Y. Kim, “Statistical notes for clinical researchers: Chi-squared test and Fisher’s exact test,” Restorative Dentistry & Endodontics, vol. 42, pp. 152–155, 2017.
[30] C. A. Hoffner, “Same-Gender Characters: Appeal and Identification,” in The International Encyclopedia of Media Psychology. J. v. d. Bulck, Ed.: Wiley, 2020, pp. 1–5.
[31] J. Hemmers, C. Baethge, K. Vogeley, and C. M. Falter-Wagner, “Are Executive Dysfunctions Relevant for the Autism-Specific Cognitive Profile?,” Frontiers in psychiatry, vol. 13, 2022.
[32] M. Chita-Tegmark, “Social attention in ASD: A review and meta-analysis of eye-tracking studies,” Research in developmental disabilities, vol. 48, pp. 79–93, 2016.