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Journal of Autism and Developmental Disorders

Gepubliceerd in:

16-09-2021 | Original Paper

Time-to-Collision Estimations in Young Drivers with Autism Spectrum Disorder and Attention-Deficit/Hyperactivity Disorder

Auteurs: Austin M. Svancara, Rajesh Kana, Haley Bednarz, Gabriela Sherrod, Kristina Visscher, Benjamin McManus, Despina Stavrinos

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 9/2022

Abstract

Individuals with attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) may exhibit driving difficulties due to cognitive impairments such as time perception difficulties, a construct related to the perception of time-to-collision (TTC). This study examined the timing abilities of drivers with ASD and ADHD. Sixty participants (n_ADHD = 20, n_ASD = 20, n_TD = 20) completed a time reproduction task and a TTC estimation task in a driving simulator. Results indicated drivers with ASD were less precise in time reproduction across all time intervals and over-reproduced time at shorter intervals. Drivers with ASD produced larger TTC estimates when driving at a faster speed compared to typically developing drivers. Drivers with ASD, but not ADHD, appear to present difficulties in time estimation abilities.

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Aduen, P. A., Kofler, M. J., Cox, D. J., Sarver, D. E., & Lunsford, E. (2015). Motor vehicle driving in high incidence psychiatric disability: Comparison of drivers with ADHD, depression, and no known psychopathology. Journal of Psychiatric Research, 64, 59–66. https://doi.org/10.1016/j.jpsychires.2015.03.009CrossRefPubMed

Allan, L. G. (1998). The influence of the scalar timing model on human timing research. Behavioural Processes, 44(2), 101–117. https://doi.org/10.1016/S0376-6357(98)00043-6CrossRefPubMed

Allman, M. J., & DeLeon, I. G. (2009). No time like the present: Time perception in autism. In A. C. Giordano & V. A. Lombardi (Eds.), Causes and Risks for Autism (pp. 65–76). Nova Science Publishers.

Barkley, R. A., Edwards, G., Laneri, M., Fletcher, K., & Metevia, L. (2001a). Executive functioning, temporal discounting, and sense of time in adolescents with attention deficit hyperactivity disorder (ADHD) and oppositional defiant disorder (ODD). Journal of Abnormal Child Psychology, 29(6), 541–556. https://doi.org/10.1023/A:1012233310098CrossRefPubMed

Barkley, R. A., Guevremont, D. C., Anastopoulos, A. D., DuPaul, G. J., & Shelton, T. L. (1993). Driving-related risks and outcomes of attention deficit hyperactivity disorder in adolescents and young adults: A 3-to 5-year follow-up survey. Pediatrics, 92(2), 212–218.CrossRef

Barkley, R. A., Murphy, K. R., & Bush, T. (2001b). Time perception and reproduction in young adults with attention deficit hyperactivity disorder. Neuropsychology, 15(3), 351–360. https://doi.org/10.1037/0894-4105.15.3.351CrossRefPubMed

Baron-Cohen, S., Hoekstra, R. A., Knickmeyer, R., & Wheelwright, S. (2006). The autism-spectrum quotient (AQ)—Adolescent version. Journal of Autism and Developmental Disorders, 36(3), 343–350. https://doi.org/10.1007/s10803-006-0073-6CrossRefPubMed

Baron-Cohen, S., Wheelwright, S., Skinner, R., Martin, J., & Clubley, E. (2001). The autism-spectrum quotient (AQ): Evidence from asperger syndrome/high-functioning autism, males and females, scientists and mathematicians. Journal of Autism and Developmental Disorders, 31(1), 5–17. https://doi.org/10.1023/A:1005653411471CrossRefPubMed

Baudouin, A., Vanneste, S., Isingrini, M., & Pouthas, V. (2006a). Differential involvement of internal clock and working memory in the production and reproduction of duration: A study on older adults. Acta Psychologica, 121(3), 285–296. https://doi.org/10.1016/j.actpsy.2005.07.004CrossRefPubMed

Baudouin, A., Vanneste, S., Pouthas, V., & Isingrini, M. (2006b). Age-related changes in duration reproduction: Involvement of working memory processes. Brain and Cognition, 62(1), 17–23. https://doi.org/10.1016/j.bandc.2006.03.003CrossRefPubMed

Bauermeister, J. J., Barkley, R. A., Martínez, J. V., Cumba, E., Ramírez, R. R., Reina, G., Matos, M., & Salas, C. C. (2005). Time estimation and performance on reproduction tasks in subtypes of children with attention deficit hyperactivity disorder. Journal of Clinical Child and Adolescent Psychology, 34(1), 151–162. https://doi.org/10.1207/s15374424jccp3401_14CrossRefPubMed

Bednarz, H. M., Kana, R. K., Svancara, A. M., Sherrod, G. M., & Stavrinos, D. (2021a). Neuropsychological predictors of driving hazard detection in autism spectrum disorder and ADHD. Child Neuropsychology. https://doi.org/10.1080/09297049.2021.1908531CrossRefPubMed

Bednarz, H. M., Stavrinos, D., Svancara, A. M., Sherrod, G. M., Deshpande, H. D., & Kana, R. K. (2021b). Behind the wheels with autism and ADHD: Brain networks involved in driving hazard detection. Transportation Research Part f: Traffic Psychology and Behaviour, 77, 274–292. https://doi.org/10.1016/j.trf.2021.01.007CrossRef

Biederman, J., Fried, R., Monuteaux, M. C., Reimer, B., Coughlin, J. F., Surman, C. B., Aleardi, M., Dougherty, M., Schoenfeld, S., Spencer, T. J., & Faraone, S. V. (2007). A laboratory driving simulation for assessment of driving behavior in adults with ADHD: A controlled study. Annals of General Psychiatry, 6, 7. https://doi.org/10.1186/1744-859X-6-4CrossRef

Bishop, H. J., Boe, L., Stavrinos, D., & Mirman, J. (2018). Driving among adolescents with autism spectrum disorder and attention-deficit hyperactivity disorder. Safety, 4(3), 40. https://doi.org/10.3390/safety4030040CrossRef

Block, R. A., & Zakay, D. (1996). Models of psychological time revisited. In H. Helfrich (Ed.), Time and mind (Vol. 33, pp. 171–195). Hogrefe & Huber.

Brenner, L. A., Shih, V. H., Colich, N. L., Sugar, C. A., Bearden, C. E., & Dapretto, M. (2015). Time reproduction performance is associated with age and working memory in high-functioning youth with autism spectrum disorder. Autism Research, 8(1), 29–37. https://doi.org/10.1002/aur.1401CrossRefPubMed

Caird, J., & Hancock, P. (1994). The perception of arrival time for different oncoming vehicles at an intersection. Ecological Psychology, 6(2), 83–109. https://doi.org/10.1207/s15326969eco0602_1CrossRef

Capelli, A., Berthoz, A., & Vidal, M. (2010). Estimating the time-to-passage of visual self-motion: Is the second order motion information processed? Vision Research, 50(9), 914–923. https://doi.org/10.1016/j.visres.2010.02.011CrossRefPubMed

Casassus, M., Poliakoff, E., Gowen, E., Poole, D., & Jones, L. A. (2019). Time perception and autistic spectrum condition: A systematic review. Autism Research, 12(10), 1440–1462. https://doi.org/10.1002/aur.2170CrossRefPubMedPubMedCentral

Cavallo, V., & Laurent, M. (1988). Visual information and skill level in time-to-collision estimation. Perception, 17(5), 623–632. https://doi.org/10.1068/p170623CrossRefPubMed

Chee, D.Y.-T., Lee, H.C.-Y., Patomella, A.-H., & Falkmer, T. (2017). Driving behaviour profile of drivers with autism spectrum disorder (ASD). Journal of Autism and Developmental Disorders, 47(9), 2658–2670. https://doi.org/10.1007/s10803-017-3178-1CrossRefPubMed

Chen, Y., Norton, D., McBain, R., Gold, J., Frazier, J., & Coyle, J. (2012). Enhanced local processing of dynamic visual information in autism: Evidence from speed discrimination. Neuropsychologia, 50(5), 733–739. https://doi.org/10.1016/j.neuropsychologia.2012.01.007CrossRefPubMedPubMedCentral

Conners, C., Erhardt, D., Epstein, J., Parker, J., Sitarenios, G., & Sparrow, E. (1999). Self-ratings of ADHD symptoms in adults I: Factor structure and normative data. Journal of Attention Disorders, 3(3), 141–151. https://doi.org/10.1177/108705479900300303CrossRef

Cox, N. B., Reeve, R. E., Cox, S. M., & Cox, D. J. (2012). Brief report: Driving and young adults with ASD: Parents’ experiences. Journal of Autism and Developmental Disorders, 42(10), 2257–2262. https://doi.org/10.1007/s10803-012-1470-7CrossRefPubMed

Crudden, A., Sansing, W., & Butler, S. (2005). Overcoming Barriers to Employment: Strategies of Rehabilitation Providers. Journal of Visual Impairment & Blindness, 99(6), 325–335. https://doi.org/10.1177/0145482X0509900602CrossRef

Curry, A. E., Metzger, K. B., Carey, M. E., Sartin, E. B., Huang, P., & Yerys, B. E. (2021). Comparison of Motor Vehicle Crashes, Traffic Violations, and License Suspensions Between Autistic and Non-autistic Adolescent and Young Adult Drivers. Journal of the American Academy of Child & Adolescent Psychiatry. https://doi.org/10.1016/j.jaac.2021.01.001CrossRef

Curry, A. E., Metzger, K. B., Pfeiffer, M. R., Elliott, M. R., Winston, F. K., & Power, T. J. (2017). Motor vehicle crash risk among adolescents and young adults with Attention-Deficit/Hyperactivity Disorder. JAMA Pediatrics, 171(8), 756–763. https://doi.org/10.1001/jamapediatrics.2017.0910CrossRefPubMedPubMedCentral

Curry, A. E., Yerys, B. E., Huang, P., & Metzger, K. B. (2018). Longitudinal study of driver licensing rates among adolescents and young adults with autism spectrum disorder. Autism, 22(4), 479–488. https://doi.org/10.1177/1362361317699586CrossRefPubMed

Daly, B. P., Nicholls, E. G., Patrick, K. E., Brinckman, D. D., & Schultheis, M. T. (2014). Driving behaviors in adults with autism spectrum disorders. Journal of Autism and Developmental Disorders, 44(12), 3119–3128. https://doi.org/10.1007/s10803-014-2166-yCrossRefPubMed

Delbosc, A., & Currie, G. (2014). Impact of attitudes and life stage on decline in rates of driver’s license acquisition by young people in Melbourne, Australia. Transportation Research Record, 2452(1), 62–70. https://doi.org/10.3141/2452-08CrossRef

DeLucia, P. R. (2004). Multiple sources of information influence time-to-contact judgments: Do heuristics accommodate limits in sensory and cognitive processes? In H. Hecht (Ed.), Advances in Psychology (Vol. 135, pp. 243–285). Elsevier.

DeLucia, P. R., & Warren, R. (1994). Pictorial and motion-based depth information during active control of self-motion: Size-arrival effects on collision avoidance. Journal of Experimental Psychology: Human Perception and Performance, 20(4), 783. https://doi.org/10.1037/0096-1523.20.4.783CrossRefPubMed

Fisher, D. L., Rizzo, M., Caird, J. K., & Lee, J. D. (2011). Handbook of driving simulation for engineering, medicine, and psychology. CRC Press.CrossRef

Gibbon, J. (1977). Scalar expectancy theory and Weber’s law in animal timing. Psychological Review, 84(3), 279. https://doi.org/10.1037/0033-295X.84.3.279CrossRef

Gibbon, J. (1991). Origins of scalar timing. Learning and Motivation, 22(1–2), 3–38. https://doi.org/10.1016/0023-9690(91)90015-ZCrossRef

Gray, R., & Thornton, I. M. (2001). Exploring the link between time to collision and representational momentum. Perception, 30(8), 1007–1022. https://doi.org/10.1068/p3220CrossRefPubMed

Hartell, A. M. (2008). Is Inadequate Transportation a Barrier to Community Involvement?: Evidence from the Social Capital Benchmark Survey. Transportation Research Record, 2067(1), 11–16. https://doi.org/10.3141/2067-02CrossRef

Hoffmann, E. R., & Mortimer, R. G. (1994). Drivers’ estimates of time to collision. Accident Analysis & Prevention, 26(4), 511–520. https://doi.org/10.1016/0001-4575(94)90042-6CrossRef

Horswill, M. S., Helman, S., Ardiles, P., & Wann, J. P. (2005). Motorcycle accident risk could be inflated by a time to arrival illusion. Optometry and Vision Science, 82(8), 740–746. https://doi.org/10.1097/01.opx.0000175563.21423.50CrossRefPubMed

Hosking, S. G., & Crassini, B. (2010). The effects of familiar size and object trajectories on time-to-contact judgements. Experimental Brain Research, 203(3), 541–552. https://doi.org/10.1007/s00221-010-2258-7CrossRefPubMed

Hosking, S. G., & Crassini, B. (2011). The influence of optic expansion rates when judging the relative time to contact of familiar objects. Journal of Vision, 11(6), 1–13. https://doi.org/10.1167/11.6.20CrossRef

Huang, J., Yang, B.-R., Zou, X.-B., Jing, J., Pen, G., McAlonan, G. M., & Chan, R. C. K. (2012). Temporal processing impairment in children with attention-deficit-hyperactivity disorder. Research in Developmental Disabilities, 33(2), 538–548. https://doi.org/10.1016/j.ridd.2011.10.021CrossRefPubMed

Hurks, P. P., & Hendriksen, J. G. (2010). Retrospective and prospective time deficits in childhood ADHD: The effects of task modality, duration, and symptom dimensions. Child Neuropsychology, 17(1), 34–50. https://doi.org/10.1080/09297049.2010.514403CrossRefPubMed

Hwang, S. L., Gau, S. S. F., Hsu, W. Y., & Wu, Y. Y. (2010). Deficits in interval timing measured by the dual-task paradigm among children and adolescents with attention-deficit/hyperactivity disorder. Journal of Child Psychology and Psychiatry, 51(3), 223–232. https://doi.org/10.1111/j.1469-7610.2009.02163.xCrossRefPubMed

Hwang-Gu, S. L., & Gau, S. S. F. (2015). Interval timing deficits assessed by time reproduction dual tasks as cognitive endophenotypes for attention-deficit/hyperactivity disorder. PLoS ONE. https://doi.org/10.1371/journal.pone.0127157CrossRefPubMedPubMedCentral

Indraccolo, A., Spence, C., Vatakis, A., & Harrar, V. (2016). Combined effects of motor response, sensory modality, and stimulus intensity on temporal reproduction. Experimental Brain Research, 234(5), 1189–1198. https://doi.org/10.1007/s00221-015-4264-2CrossRefPubMed

Kerns, K. A., McInerney, R. J., & Wilde, N. J. (2001). Time reproduction, working memory, and behavioral inhibition in children with ADHD. Child Neuropsychology, 7(1), 21–31. https://doi.org/10.1076/chin.7.1.21.3149CrossRefPubMed

Kessler, R. C., Adler, L., Ames, M., Demler, O., Faraone, S., Hiripi, E., Howes, M. J., Jin, R., Secnik, K., & Spencer, T. (2005). The World Health Organization adult ADHD self-report scale (ASRS): A short screening scale for use in the general population. Psychological Medicine, 35(2), 245–256. https://doi.org/10.1017/S0033291704002892CrossRefPubMed

Kiefer, R. J., Flannagan, C. A., & Jerome, C. J. (2006). Time-to-collision judgments under realistic driving conditions. Human Factors, 48(2), 334–345. https://doi.org/10.1518/001872006777724499CrossRefPubMed

Lee, D. N. (1976). A theory of visual control of braking based on information about time-to-collision. Perception, 5(4), 437–459. https://doi.org/10.1068/p050437CrossRefPubMed

Maister, L., & Plaisted-Grant, K. C. (2011). Time perception and its relationship to memory in autism spectrum conditions. Developmental Science, 14(6), 1311–1322. https://doi.org/10.1111/j.1467-7687.2011.01077.xCrossRefPubMed

Martin, J. S., Poirier, M., & Bowler, D. M. (2010). Brief report: Impaired temporal reproduction performance in adults with autism spectrum disorder. Journal of Autism and Developmental Disorders, 40(5), 640–646. https://doi.org/10.1007/s10803-009-0904-3CrossRefPubMed

Marx, I., Hübner, T., Herpertz, S. C., Berger, C., Reuter, E., Kircher, T., Herpertz-Dahlmann, B., & Konrad, K. (2010). Cross-sectional evaluation of cognitive functioning in children, adolescents and young adults with ADHD. Journal of Neural Transmission, 117(3), 403–419. https://doi.org/10.1007/s00702-009-0345-3CrossRefPubMed

Matt, G. E. (1989). Decision rules for selecting effect sizes in meta-analysis: A review and reanalysis of psychotherapy outcome studies. Psychological Bulletin, 105(1), 106–115. https://doi.org/10.1037/0033-2909.105.1.106CrossRefPubMed

McCrimmon, A. W., & Smith, A. D. (2013). Review of the Wechsler Abbreviated Scale of Intelligence, Second Edition (WASI-II). Journal of Psychoeducational Assessment, 31(3), 337–341. https://doi.org/10.1177/0734282912467756

McGee, R., Brodeur, D., Symons, D., Andrade, B., & Fahie, C. (2004). Time perception: Does it distinguish ADHD and RD children in a clinical sample? Journal of Abnormal Child Psychology, 32(5), 481–490. https://doi.org/10.1023/B:JACP.0000037778.61929.1bCrossRefPubMed

McInerney, R. J., & Kerns, K. A. (2003). Time reproduction in children with ADHD: Motivation matters. Child Neuropsychology, 9(2), 91–108. https://doi.org/10.1076/chin.9.2.91.14506CrossRefPubMed

McLeod, R. W., & Ross, H. E. (1983). Optic-flow and cognitive factors in time-to-collision estimates. Perception, 12(4), 417–423. https://doi.org/10.1068/p120417CrossRefPubMed

Meaux, J. B., & Chelonis, J. J. (2003). Time perception differences in children with and without ADHD. Journal of Pediatric Health Care, 17(2), 64–71. https://doi.org/10.1067/mph.2003.26CrossRefPubMed

Meck, W. H. (1996). Neuropharmacology of timing and time perception. Cognitive Brain Research, 3(3–4), 227–242. https://doi.org/10.1016/0926-6410(96)00009-2CrossRefPubMed

Meck, W. H. (2005). Neuropsychology of timing and time perception. Brain and Cognition, 58(1), 1–8. https://doi.org/10.1016/j.bandc.2004.09.004CrossRefPubMed

Merkel, R. L., Nichols, J. Q., Fellers, J. C., Hidalgo, P., Martinez, L. A., Putziger, I., Burket, R. C., & Cox, D. J. (2016). Comparison of on-road driving between young adults with and without ADHD. Journal of Attention Disorders, 20(3), 260–269. https://doi.org/10.1177/1087054712473832CrossRefPubMed

Montgomery, J., Kusano, K. D., & Gabler, H. C. (2014). Age and gender differences in time to collision at braking from the 100-car naturalistic driving study. Traffic Injury Prevention, 15(sup1), S15–S20. https://doi.org/10.1080/15389588.2014.928703CrossRefPubMed

Murai, Y., & Yotsumoto, Y. (2016). Timescale-and sensory modality-dependency of the central tendency of time perception. PLoS ONE. https://doi.org/10.1371/journal.pone.0158921CrossRefPubMedPubMedCentral

Noreika, V., Falter, C. M., & Rubia, K. (2013). Timing deficits in attention-deficit/hyperactivity disorder (ADHD): Evidence from neurocognitive and neuroimaging studies. Neuropsychologia, 51(2), 235–266. https://doi.org/10.1016/j.neuropsychologia.2012.09.036CrossRefPubMed

Perbal, S., Droit-Volet, S., Isingrini, M., & Pouthas, V. (2002). Relationships between age-related changes in time estimation and age-related changes in processing speed, attention, and memory. Aging, Neuropsychology, and Cognition, 9(3), 201–216. https://doi.org/10.1076/anec.9.3.201.9609CrossRef

Plummer, C., & Humphrey, N. (2009). Time perception in children with ADHD: The effects of task modality and duration. Child Neuropsychology, 15(2), 147–162. https://doi.org/10.1080/09297040802403690CrossRefPubMed

Rattat, A. C., & Droit-Volet, S. (2012). What is the best and easiest method of preventing counting in different temporal tasks? Behavior Research Methods, 44(1), 67–80. https://doi.org/10.3758/s13428-011-0135-3CrossRefPubMed

Reimer, B., D’Ambrosio, L. A., Coughlin, J. F., Fried, R., & Biederman, J. (2007). Task-induced fatigue and collisions in adult drivers with attention deficit hyperactivity disorder. Traffic Injury Prevention, 8(3), 290–299. https://doi.org/10.1080/15389580701257842CrossRefPubMed

Rommelse, N. N., Oosterlaan, J., Buitelaar, J., Faraone, S. V., & Sergeant, J. A. (2007). Time reproduction in children with ADHD and their nonaffected siblings. Journal of the American Academy of Child & Adolescent Psychiatry, 46(5), 582–590. https://doi.org/10.1097/CHI.0b013e3180335af7CrossRef

Rommelse, N. N. J., Altink, M. E., Oosterlaan, J., Beem, L., Buschgens, C. J. M., Buitelaar, J., & Sergeant, J. A. (2008). Speed, variability, and timing of motor output in ADHD: Which measures are useful for endophenotypic research? Behavior Genetics, 38(2), 121–132. https://doi.org/10.1007/s10519-007-9186-8CrossRefPubMed

Ross, V., Jongen, E. M. M., Brijs, K., Vanroelen, G., Beelen, C., Maltagliati, I., van Beers, M., Ruiter, R. A. C., Brijs, T., Alhajyaseen, W., Soliman, A., Wets, G., & Vanvuchelen, M. (2019). The relation between driving errors and executive functioning in intellectually able young novice drivers with autism. Transportation Research Part f: Traffic Psychology and Behaviour, 63, 38–54. https://doi.org/10.1016/j.trf.2019.03.003CrossRef

Rusch, M. L., Schall Jr, M. C., Lee, J. D., Dawson, J. D., Edwards, S. V., & Rizzo, M. (2016). Time-to-contact estimation errors among older drivers with useful field of view impairments. Accident Analysis & Prevention, 95(Part A), 284–291. https://doi.org/10.1016/j.aap.2016.07.008

Salunkhe, G., Weissbrodt, K., Feige, B., Saville, C., Berger, A., Dundon, N., Bender, S., Smyrnis, N., Beauducel, A., & Biscaldi, M. (2018). Examining the overlap between ADHD and autism spectrum disorder (ASD) using candidate endophenotypes of ADHD. Journal of Attention Disorders. https://doi.org/10.1177/1087054718778114CrossRefPubMed

Schiff, W., & Oldak, R. (1990). Accuracy of judging time to arrival: Effects of modality, trajectory, and gender. Journal of Experimental Psychology: Human Perception and Performance, 16(2), 303–316. https://doi.org/10.1037/0096-1523.16.2.303CrossRefPubMed

Schiff, W., Oldak, R., & Shah, V. (1992). Aging persons’ estimates of vehicular motion. Psychology and Aging, 7(4), 518–525. https://doi.org/10.1037/0882-7974.7.4.518CrossRefPubMed

Sidaway, B., Fairweather, M., Sekiya, H., & McNitt-Gray, J. (1996). Time-to-collision estimation in a simulated driving task. Human Factors, 38(1), 101–113. https://doi.org/10.1518/001872096778940813CrossRef

Simonoff, E., Pickles, A., Charman, T., Chandler, S., Loucas, T., & Baird, G. (2008). Psychiatric disorders in children with autism spectrum disorders: Prevalence, comorbidity, and associated factors in a population-derived sample. Journal of the American Academy of Child & Adolescent Psychiatry, 47(8), 921–929. https://doi.org/10.1097/CHI.0b013e318179964fCrossRef

Smith, A., Taylor, E., Warner Rogers, J., Newman, S., & Rubia, K. (2002). Evidence for a pure time perception deficit in children with ADHD. Journal of Child Psychology and Psychiatry, 43(4), 529–542. https://doi.org/10.1111/1469-7610.00043CrossRefPubMed

Steinkuller, P. G. (2010). Legal vision requirements for drivers in the United States. Virtual Mentor, 12(12), 938–940. https://doi.org/10.1001/virtualmentor.2010.12.12.hlaw1-1012CrossRefPubMed

Sun, S., Yu, R., Pan, T., & Song, L. (2018). Gender and emotion influence on the head-on time-to-collision estimation. CICTP 2017: Transportation Reform and Change—Equity, Inclusiveness, Sharing, and Innovation.

Syed, S. T., Gerber, B. S., & Sharp, L. K. (2013). Traveling towards disease: Transportation barriers to health care access. Journal of Community Health, 38(5), 976–993. https://doi.org/10.1007/s10900-013-9681-1CrossRefPubMedPubMedCentral

Szelag, E., Kowalska, J., Galkowski, T., & Pöppel, E. (2004). Temporal processing deficits in high-functioning children with autism. British Journal of Psychology, 95(3), 269–282. https://doi.org/10.1348/0007126041528167CrossRefPubMed

Toplak, M., Rucklidge, J., Hetherington, R., John, S., & Tannock, R. (2003). Time perception deficits in attention-deficit/hyperactivity disorder and comorbid reading difficulties in child and adolescent samples. Journal of Child Psychology and Psychiatry, 44(6), 888–903. https://doi.org/10.1111/1469-7610.00173CrossRefPubMed

Torgerson, M., & Edwards, M. E. (2012). Demographic Determinants of Perceived Barriers to Community Involvement: Examining Rural/Urban Differences. Nonprofit and Voluntary Sector Quarterly, 42(2), 371–390. https://doi.org/10.1177/0899764012440181CrossRef

Treisman, M., Faulkner, A., Naish, P. L., & Brogan, D. (1990). The internal clock: Evidence for a temporal oscillator underlying time perception with some estimates of its characteristic frequency. Perception, 19(6), 705–742. https://doi.org/10.1068/p190705CrossRefPubMed

Tresilian, J. (1995). Perceptual and cognitive processes in time-to-contact estimation: Analysis of prediction-motion and relative judgment tasks. Perception & Psychophysics, 57(2), 231–245. https://doi.org/10.3758/BF03206510CrossRef

Tyndall, J. (2015). Waiting for the R train: Public transportation and employment. Urban Studies, 54(2), 520–537. https://doi.org/10.1177/0042098015594079CrossRef

Vaa, T. (2014). ADHD and relative risk of accidents in road traffic: A meta-analysis. Accident Analysis & Prevention, 62, 415–425. https://doi.org/10.1016/j.aap.2013.10.003CrossRef

Valko, L., Schneider, G., Doehnert, M., Müller, U., Brandeis, D., Steinhausen, H.-C., & Drechsler, R. (2010). Time processing in children and adults with ADHD. Journal of Neural Transmission, 117(10), 1213–1228. https://doi.org/10.1007/s00702-010-0473-9CrossRefPubMed

Wallace, G. L., & Happé, F. (2008). Time perception in autism spectrum disorders. Research in Autism Spectrum Disorders, 2(3), 447–455. https://doi.org/10.1016/j.rasd.2007.09.005CrossRef

Wechsler, D. (2011). WASI-II: Wechsler abbreviated scale of intelligence. Psychological Corp.

Wittmann, M., & Lehnhoff, S. (2005). Age effects in perception of time. Psychological Reports, 97(3), 921–935. https://doi.org/10.2466/PR0.97.7.921-935CrossRefPubMed

Woodbury-Smith, M. R., Robinson, J., Wheelwright, S., & Baron-Cohen, S. (2005). Screening adults for Asperger syndrome using the AQ: A preliminary study of its diagnostic validity in clinical practice. Journal of Autism and Developmental Disorders, 35(3), 331–335. https://doi.org/10.2466/PR0.97.7.921-935CrossRefPubMed

Zélanti, P. S., & Droit-Volet, S. (2011). Cognitive abilities explaining age-related changes in time perception of short and long durations. Journal of Experimental Child Psychology, 109(2), 143–157. https://doi.org/10.1016/j.jecp.2011.01.003CrossRefPubMed

Zuylen, M. V., Lee, H. C., Wilson, N. J., Chee, D., Vaz, S., & Sun, Q. (2020). Investigating the driving behaviours of learner drivers with autism spectrum disorder: An on-road assessment with Global Navigation Satellite System data. Advances in Transportation Studies, 51, 35–46. https://doi.org/10.4399/97888255337503CrossRef

Titel: Time-to-Collision Estimations in Young Drivers with Autism Spectrum Disorder and Attention-Deficit/Hyperactivity Disorder
Auteurs: Austin M. Svancara
Rajesh Kana
Haley Bednarz
Gabriela Sherrod
Kristina Visscher
Benjamin McManus
Despina Stavrinos
Publicatiedatum: 16-09-2021
Uitgeverij: Springer US
Gepubliceerd in: Journal of Autism and Developmental Disorders / Uitgave 9/2022
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI: https://doi.org/10.1007/s10803-021-05264-6

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