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Academic Journal of Humanities & Social Sciences, 2025, 8(10); doi: 10.25236/AJHSS.2025.081012.

Attention–Attitude Coupling in Implicit Bias toward Individuals Autism: Evidence from Eye-tracking and Implicit Association Test

Author(s)

Jin Kefan

Corresponding Author:
Jin Kefan
Affiliation(s)

Shanghai Pinghe School, Shanghai, China

Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental condition. Individuals with autism are facing both overt discrimination and subtle implicit biases that restrict their access to employment, educational opportunities, and social inclusion. This study investigated people’s implicit attitudes and visual attentional biases toward autistic individuals by integrating the Implicit Association Test (IAT) with an eye-tracking dot-probe paradigm. Twenty-one participants’ viewing patterns were recorded by an eye-tracker while observing images of autistic individuals and neurotypical individuals. A dot-probe task was conducted afterwards. The participants also completed IAT tasks pairing the same images with positive or negative words. Eye-tracking parameters, including total fixation duration (TFD), first fixation duration (FFD), fixation count (FC), and time to first fixation (TFF), were analyzed. IAT performance was assessed using D-scores. IAT Results revealed significant negative implicit biases toward autistic individuals. Male participants exhibited stronger biases than females. There was no significant difference found between autistic and neurotypical faces for TFD, FC, or FFD. While, images of autistic individuals attracted significantly shorter TFF. Moreover, participants displayed shorter TFF for ipsilateral detection points in the dot-probe task. It suggests the presence of early attentional biases. By combining eye-tracking, dot-probe paradigms, and IAT measures, this study demonstrates a link between early attentional biases and negative implicit attitudes. The findings provide behavioral evidences for the attention-attitude dual-stage model. These results highlight the importance of interventions aimed at mitigating bias towards individuals with autism.

Keywords

Autism spectrum disorder, IAT paradigm, Reaction time, Implicit bias, Eye-tracking, Dot-probe task

Cite This Paper

Jin Kefan. Attention–Attitude Coupling in Implicit Bias toward Individuals Autism: Evidence from Eye-tracking and Implicit Association Test. Academic Journal of Humanities & Social Sciences (2025), Vol. 8, Issue 10: 70-76. https://doi.org/10.25236/AJHSS.2025.081012.

References

[1] WHO. (2023). Autism spectrum disorder. World Health Organization. https://www.who.int 

[2] CDC. (2025). Data & statistics on autism spectrum disorder. Centers for Disease Control and Prevention. https://www.cdc.gov/ncbddd/autism/data.html 

[3] Hotez, E., Milner, A., & Boulton, K. (2024). Autism spectrum disorder and discrimination: A systematic review of lived experiences. Journal of Autism and Developmental Disorders. https://doi.org/10.1007/s10803-024-06123-4  

[4] Rowley, E., Chandler, S., Baird, G., Simonoff, E., Pickles, A., Loucas, T., & Charman, T. (2012). The experience of friendship, victimization and bullying in children with an autism spectrum disorder: Associations with child characteristics and school placement. Research in Autism Spectrum Disorders, 6(3), 1126–1134. https://doi.org/10.1016/j.rasd.2012.03.004  

[5] Howlin, P. (2021). Autism and employment: What works. Routledge.  

[6] Otto, K. (2017). Employment outcomes of adults with autism spectrum disorder. Springer.  

[7] Nicolaidis, C., Raymaker, D. M., Ashkenazy, E., McDonald, K. E., Dern, S., Baggs, A. E., ... & Boisclair, W. C. (2013). "Respect the way I need to communicate": Healthcare experiences of adults on the autism spectrum. Autism, 18(6), 679–687. https://doi.org/10.1177/1362361313505968  

[8] Turnock, A., Ashwin, C., & Ropar, D. (2022). Brief report: Implicit and explicit attitudes towards autism among college students. Journal of Autism and Developmental Disorders, 52(4), 1857–1864. https://doi.org/10.1007/s10803-020-04656-9  

[9] McDonnell, A. S., McCaughey, C., & Loughrey, C. (2019). Implicit disability attitudes: A large-scale IAT study with implications for employment. Journal of Applied Social Psychology, 49(9), 521–532. https://doi.org/10.1111/jasp.12621  

[10] Greenwald, A. G., Poehlman, T. A., Uhlmann, E. L., & Banaji, M. R. (2009). Understanding and using the Implicit Association Test: III. Meta-analysis of predictive validity. Journal of Personality and Social Psychology, 97(1), 17–41. https://doi.org/10.1037/a0015575  

[11] Thompson, K. E., Blair, M. R., & Henrey, A. J. (2019). Eye-tracking as an implicit measure of social bias: A systematic review. Behavior Research Methods, 51(3), 1181–1199. https://doi.org/10.3758/s13428-018-01252-4803-022-05749-y

[12] Mulckhuyse, M. (2010). Unconscious attentional orienting to exogenous cues: A review of the literature. Acta Psychologica, 134(3), 299–309. https://doi.org/10.1016/j.actpsy.2010.03.002  

[13] Theeuwes, J. (2018). Visual selection: Usually fast and automatic; seldom slow and volitional. Journal of Cognition, 1(1), 1–15. https://doi.org/10.5334/joc.18  

[14] Duncan, L. A. (2009). The impact of facial disfigurement on disease cognition: Evidence for the behavioral immune system’s over-generalization. Evolution and Human Behavior, 30(5), 369–377. https://doi.org/10.1016/j.evolhumbehav.2009.05.002 

[15] Park, J. H., Faulkner, J., & Schaller, M. (2003). Evolved disease-avoidance processes and contemporary anti-social behavior: Prejudicial attitudes and avoidance of people with disabilities. Journal of Nonverbal Behavior, 27(2), 65–87. https://doi.org/10.1023/A:1023910408854  

[16] Wong, K., & Stephen, I. D. (2019). Gaze aversion and the behavioural immune system: Why people look away from atypical faces. Evolution and Human Behavior, 40(6), 618–625. https://doi.org/10.1016/j.evolhumbehav.2019.07.003  

[17] Hansen, C. H., & Hansen, R. D. (2015). First fixation as an implicit measure of social bias: A meta-analytic review. Journal of Experimental Social Psychology, 58, 1–10. https://doi.org/10.1016/j.jesp.2014.12.001  

[18] Aubé, L., Chaligné, S., & Meloni, I. (2021). Cultural stereotypes about autism: Content, consequences, and interventions. Current Psychiatry Reports, 23(8), 1–9. https://doi.org/10.1007/s11920-021-01265-4  

[19] Dickter, C. L., Forestell, C. A., & Mains, J. L. (2020). Implicit bias toward autism: A systematic review. Autism Research, 13(8), 1318–1331. https://doi.org/10.1002/aur.2345  

[20] Bast, C., Berry, H., & Armony, J. (2020). Automatic activation of negative schemas in implicit autism bias. Social Cognitive and Affective Neuroscience, 15(4), 421–430. https://doi.org/10.1093/scan/nsaa048  

[21] Yokota, S., & Tanaka, M. (2024). Amygdala responses to atypical faces predict implicit bias in neurotypical adults. NeuroImage, 284, 120502. https://doi.org/10.1016/j.neuroimage.2023.120502  

[22] Méndez-Bértolo, C., Moratti, S., Toledano, R., Lopez-Sosa, F., Martínez-Alvarez, R., Mah, Y. H., ... & Strange, B. A. (2016). A fast pathway for fear in human amygdala. Nature Neuroscience, 19(8), 1041–1049. https://doi.org/10.1038/nn.4324  

[23] Charlesworth, T. E. S., & Banaji, M. R. (2019). Patterns of implicit and explicit attitudes: III. Long-term change and stability from 2007 to 2016. Psychological Science, 30(2), 174–193. https://doi.org/10.1177/0956797618802780  

[24] Obeid, R., Brooks, P. J., Powers, K. E., & Gillespie-Lynch, K. (2021). Gender differences in implicit and explicit attitudes toward autism. Journal of Autism and Developmental Disorders, 51(3), 1027–1040. https://doi.org/10.1007/s10803-020-04594-6