A Pilot Study Assessing Performance and Visual Attention of Teenagers with ASD in a Novel Adaptive Driving Simulator
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Individuals with Autism Spectrum Disorder (ASD), compared to typically-developed peers, may demonstrate behaviors that are counter to safe driving. The current work examines the use of a novel simulator in two separate studies. Study 1 demonstrates statistically significant performance differences between individuals with (N = 7) and without ASD (N = 7) with regards to the number of turning-related driving errors (p < 0.01). Study 2 shows that both the performance-based feedback group (N = 9) and combined performance- and gaze-sensitive feedback group (N = 8) achieved statistically significant reductions in driving errors following training (p < 0.05). These studies are the first to present results of fine-grained measures of visual attention of drivers and an adaptive driving intervention for individuals with ASD.
KeywordsAutism spectrum disorders Driving simulation Driving intervention Gaze-sensitive
This work was supported in part by the National Science Foundation under Grant 967170 and by the National Institutes of Health under Grant 1R01MH091102-01A1. The authors would also express great appreciation to the participants and their families for assisting in this research. Although the manuscript text is wholly original, the work discussed here has been presented (1) at technical and autism-focused conferences, including Human Computer Interaction International and International Meeting for Autism Research, (2) in peer-reviewed engineering journals (ACM Transactions on Interactive Intelligent Systems, and IEEE Transactions on Affective Computing), and (3) in the master’s thesis of author Joshua Wade.
This study was funded by National Institutes of Health Grant Number 1R01MH091102-01A1 and National Science Foundation Grant Number 967170.
JW implemented large portions of the software used in the driving simulator, oversaw all experiments, conducted all data analyses, and drafted the technical portions of the manuscript. NS and ZW conceived of the study, crafted the experimental design, and revised the manuscript. LZ and DB provided major software modules for eye tracking and physiological data acquisition, respectively, and also aided in conducting experiments. MS provided consultations regarding software engineering, 3D-modeling, and algorithm design. AW, NB, and AS provided major design considerations for the driving simulator from a clinical perspective, managed recruitment of participants, drafted portions of the manuscript, and aided in several rounds of editing and revision. All authors read and approved the final manuscript.
Compliance with Ethical Standards
Conflict of interest
The authors declare that they have no conflict of interest.
All procedures performed in studies involving human subjects were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Informed consent/assent was obtained from all individual participants included in the study.
- Brooks, J., Kellett, J., Seeanner, J., Jenkins, C., Buchanan, C., Kinsman, A., Desmond, K., & Pierce, S. (2016). Training the motor aspects of pre-driving skills of young adults with and without autism spectrum disorder. Journal of Autism and Developmental Disorders, 46(7), 2408–2426.CrossRefPubMedGoogle Scholar
- Chee, D. Y., Lee, H. C., Patomella, A. H., & Falkmer, T. (2017). Driving Behavior profile of drivers with autism spectrum disorder (ASD). Journal of Autism and Developmental Disorders, 1–13, doi: 10.1007/s10803-017-3178-1.
- Christensen, D. L., Baio, J., Braun, K. V., Bilder, D., Charles, J., Constantino, J. N., … & Yeargin-Allsopp, M. (2016). Prevalence and characteristics of autism spectrum disorder among children aged 8 years - autism and developmental disabilities monitoring network, 11 sites, United States, 2012. Morbidity And Mortality Weekly Report Surveillance Summaries, 65(3), 1–23PubMedGoogle Scholar
- Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd edn.). Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar
- Constantino, J. N., & Gruber, C. P. (2012). Social responsiveness scale (2nd edn.). Los Angeles: Western Pyschological Services.Google Scholar
- Cox, D. J., Brown, T., Ross, V., Moncrief, M., Schmitt, R., Gaffney, G., & Reeve, R. (2017). Can youth with autism spectrum disorder use virtual reality driving simulation training to evaluate and improve driving performance? An exploratory study. Journal of Autism and Developmental Disorders, 1–12, doi: 10.1007/s10803-017-3164-7.
- Cox, S. M., Cox, D. J., Kofler, M. J., Moncrief, M. A., Johnson, R. J., Lambert, A. E., … & Reeve, R. E. (2016). Driving simulator performance in novice drivers with autism spectrum disorder: The role of executive functions and basic motor skills. Journal of Autism and Developmental Disorders, 46(4), 1379–1391.CrossRefPubMedGoogle Scholar
- Curry, A. E., Yerys, B. E., Huang, P., & Metzger, K. B. (2017). Longitudinal study of driver licensing rates among adolescents and young adults with autism spectrum disorder. Autism: The International Journal of Research and Practice, 1–10. doi: 10.1177/1362361317699586.
- Hale, J. B., Fiorello, C. A., Dumon, R., Willis, J. O., Rackley, C., & Elliott, C. (2008). Differential ability scales—second edition (neuro)psychological predictors of math performance for typical children and children with math disabilities. Psychology in the Schools, 45(9), 838–858.CrossRefGoogle Scholar
- Jerome, L., Segal, A., & Habinski, L. (2006). What we know about ADHD and driving risk: A literature review, meta-analysis and critique. Journal of the Canadian Academy of Child and Adolscent Psychiatry, 15(3), 105–125.Google Scholar
- Lord, C., & Bishop, S. L. (2010). Autism spectrum disorders: Diagnosis, prevalence, and services for children and families. Social Policy Report, 24(2), 1–26. Retrieved from http://www.srcd.org/spr.html.
- Lord, C., Rutter, M., DiLavore, P. C., & Risi, S. (2000). Autism diagnostic observation schedule. Torrance, CA: Western Psychological Services.Google Scholar
- Lord, C., Rutter, M., DiLavore, P. C., Risi, S., Gotham, K., & Bishop, S. L. (2012). Autism diagnostic observation schedule (2nd edn.). Torrance, CA: Western Psychological Services.Google Scholar
- Reimer, B., Fried, R., Mehler, B., Joshi, G., Bolfek, A., Godfrey, K. M., … & Biederman, J. (2013). Brief report: Examining driving behavior in young adults with high functioning autism spectrum disorders: A pilot study using a driving simulation paradigm. Journal of Autism and Developmental Disorders, 43(9), 2211–2217.CrossRefPubMedGoogle Scholar
- Rutter, M., Bailey, A., & Lord, C. (2003). Social communication questionnaire (SCQ). Los Angeles: Western Psychological Services.Google Scholar
- Tobii Technology. (2011). Accuracy and precision test method for remote eye trackers. Tobii Technology, AB 2.1.1, 1–28.Google Scholar
- Wade, J., Zhang, L., Bian, D., Fan, J., Swanson, A., Weitlauf, A., Sarkar, M., Warren, Z., & Sarkar, N. (2016). A gaze-contingent adaptive virtual reality driving environment for intervention in individuals with autism spectrum disorders. ACM Transactions on Interactive Intelligent Systems, 6(1), 3.CrossRefGoogle Scholar
- Wechsler, D. (2003). Wechsler intelligence scale for children-fourth edition (WISC-IV) administration and scoring manual. San Antonio, TX: Pearson Education, Inc.Google Scholar
- Wechsler, D. (2011). Wechsler abbreviated scale of intelligence (2nd edn.). San Antonio, TX: Pearson Education, Inc.Google Scholar
- Weitlauf, A. S., McPheeters, M. L., Peters, B., Sathe, N., Travis, R., Aiello, R., … & Warren, Z. (2014). Therapies for children with autism spectrum disorder: Behavioral interventions update. Comparative Effectiveness Review, No. 137.Google Scholar