| Literature DB >> 30245750 |
Nathan J Wilson1, Hoe C Lee2, Sharmila Vaz2, Priscilla Vindin2, Reinie Cordier2.
Abstract
Gaining a driver's licence represents increased independence and can lead to improved quality of life for individuals and their families. Learning to drive a motor vehicle and maintaining safe on-road skills are often more difficult for people on the autism spectrum. Many countries currently have no autism-specific licencing requirements for learner drivers, and there is a general lack of ASD-specific support and training packages for individuals, their families, and driving instructors. This review synthesises the peer-reviewed literature about the driving characteristics of drivers on the spectrum and driver training available for the cohort. The evidence in this review showed that individuals on the autism spectrum drive differently from their neurotypical counterparts. There are shortcomings in tactical skills of drivers on the autism spectrum, but the extent to which this affects their own safety or the safety of other road users is unclear. Tactical skills can be improved through training programs. There are few autism spectrum-specific learner training programs available. Development of an effective training program will benefit individuals on the spectrum to learn to drive, be independent, and be safe on the road.Entities:
Mesh:
Year: 2018 PMID: 30245750 PMCID: PMC6136574 DOI: 10.1155/2018/6842306
Source DB: PubMed Journal: Behav Neurol ISSN: 0953-4180 Impact factor: 3.342
Figure 1Flowchart of included studies.
| Authors, year (country) | Type of study (study design) | Objective | Population | Key findings | Study limitations |
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| Chee et al. 2015 | Cross-sectional study | To understand people with ASD's viewpoints on driving using Q-methodology (e.g., whether or not they are confident and prefer driving than other transportation). |
| (i) Some young adults with ASD perceived themselves as confident and independent drivers. | Diagnosis of ASD based on self-report |
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| Chee et al. 2017 (Australia) | Cross-sectional study | (i) To assess and compare the driving performance of drivers with and without ASD in suburban traffic environment |
| (i) Drivers with ASD underperformed in vehicle manoeuvring, especially at left turns, right turns (hesitant and slower), and pedestrian crossings. | Being small in sample size, the participants of this study may not be representative of the broader population and can impact on the generalisability of the results. |
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| Cox et al. 2012 (USA) | Cross-sectional study | An online survey to understand driving and ASD by surveying parents/caregivers of adolescents and young adults with ASD, who had driving licence or were in the process of learning to drive |
| (i) Parents were active in the teaching process (mother 81%; father 62%). | Diagnosis of ASD is not confirmed through review of medical records |
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| Daly et al. 2014 (USA) | Cross-sectional study | An online survey using a modified version of the Driver Behaviour Questionnaire to determine whether differences exist between adult drivers with ASD and non-ASD adult drivers in terms of (i) driving history and driving behaviours, (ii) the rates of reporting violations/mistakes/driving slips as defined by DBQ, and (iii) the relative risk of such behaviours as quantified by the DBQ. |
| (i) Drivers with ASD obtained their driver's licence approximately 2 years later that non-ASD drivers. | The pilot study relied on anonymous self-report. Participants, due to poor insight or difficulty in comparing their own driving behaviour with other drivers, may underreport their symptoms and overrate their driving ability. |
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∗ Deka et al. 2016 (USA) | Cross-sectional study | An online survey to learn about the travel patterns, needs, and barriers people with ASD encounter regarding the use of different transportation modes. |
| (i) Only 9.3% of the adults with ASD had a driver's licence and many are using it as identity card rather than a licence to drive. | Low representation of views of ASD adults who had a driving licence and that have driven a car regularly |
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| Huang et al. 2012 (USA) | Cross-sectional study | An online survey to compare the characteristics of age-eligible driving and nondriving teens and explore the driving outcomes for teens with higher functioning autism spectrum disorders |
| (i) 63% of teens currently drive or plan to drive. | Respondent bias (use of caregivers other than the person on the spectrum) limits validity. |
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| Sheppard et al. 2017 (UK) | Case control study | Videos of 20 different driving situations with inbuilt hazards to (i) compare the ability of identifying the driving hazards by stopping the video and pointing to the hazard between people with ASD and without ASD and (ii) define whether people with ASD have difficulty in responding to hazards or orienting to them. |
| (i) Although nonsignificant, participants with ASD showed a slower fixation on the hazard source and a slower orientation to the hazards. | The study is limited to young male ASD adults with no specific training or driving experience. |
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| Bishop et al. 2017 (USA) | Cross-sectional study | To investigate how drivers with ASD respond to social and nonsocial hazards in a driving simulator compared to typically developing drivers using a driving simulator |
| (i) There was no difference in reaction time to social versus nonsocial hazards for drivers with ASD. | Small sample size and underpowered |
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| Brooks et al. 2016 (USA) | Cross-sectional study | To investigate the utility of using a driving simulator and interactive exercises (steering and pedal tasks) to address the motor aspects of predriving skills of young adults with ASD |
| (i) Minimal performance differences were observed between the two groups in terms of the motor aspects of predriving skills. | Small sample size and underpowered |
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| Classen and Monahan 2013 (USA) | Literature review | To conduct an evidence-based review of intervention studies and predictor studies related to driving outcomes in teens with ADHD or ASD |
| (i) The ASD group perceives driving hazards via video clips but has difficulty in perceiving hazards if the task also requires processing of social information. | Heterogeneity among the studies: variability in age |
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| Classen et al. 2013 (USA) | Observational study | Using a driving simulator to examine the demographic, clinical, and simulated driving (type and number of driving errors) differences between teens with ADHD-ASD, healthy controls (HCs). |
| (i) Teens with ADHD-ASD performed more poorly on right eye visual acuity, selective attention, visual motor integration, cognition, and motor performance. | Sample of convenience: a Caucasian sample is not representative of the population of interest. |
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| Cox et al. 2016 (USA) | Cross-sectional study | To examine the relationship between driving performance and executive functioning for novice drivers, with and without ASD, using a driving simulator |
| (i) ASD drivers had significantly slower reaction times during steering but not braking. | Simulator study—questionable real-life equivalence |
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| Cox et al. 2017 (USA) | Pre- and post-quasi-experimental studies | Using a virtual reality driving simulator to investigate how novice drivers with ASD differ from experienced drivers and whether virtual reality driving simulation training (VRDST) improves ASD driving performance | 51 novice ASD drivers (MA = 17.96 years; 78% male) | (i) ASD drivers showed worse baseline executive function (EF) and driving skills than experienced drivers. | No random assignment of subjects to groups |
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| Monahan et al. 2012 (USA) | Single subject case study | To illustrate the predriving skills of a teen with ADHD/ASD using a driving simulator | 1 male with ASD/ADHD, 15 years old | (i) Demonstrated significant impairments related to visual motor integration and attention shift | Single case study design: inherently faces the lack of representativeness of general population |
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| Monahan et al. 2013 (USA) | Cross-sectional study | Using a driving simulator to compare the predriving skills of a teen with ADHD/ASD to an age- and gender-matched healthy control. | 1 male with ADHD/ASD, 15 years old | (i) Youth with ADHD/ASD demonstrated impairments in the ability to shift attention, perform simple sequential tasks, integrate visual-motor responses, and coordinate motor responses | Single participant in each comparison group |
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| Reimer et al. 2013 (USA) | Cross-sectional study | Using a driving simulator to explore driving behaviour and visual attention in young adult drivers with high-function (HF) ASD in comparison with a community sample of nonaffected individuals matched for age and sex |
| (i) Youth with HF-ASD performed comparable to controls in terms of the frequency of simulated crashes and vehicle control. | Sample of convenience—Caucasian comparison groups are not representative of the population of interest—limits generalisability of results. |
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| Bian et al. 2016 (USA) | Study one: descriptive study | To assess the feasibility of outcome measures for and responsiveness of virtual reality driving package | 4 teenagers with ASD—3 male and one female | (i) All participants reported that they “enjoyed the game” and noticed the changes in task difficulty. | Small sample size: underpowered study |
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| Fan et al. 2018 (USA) | Descriptive study | To generate proof of concept data to determine if EEG data is useful in ASD driving interventions | 20 ASD (MA = 15.29 years; 19 males and 1 female) | (i) EEG-based group level classification models are feasible for recognizing affect and workload recognition in individuals with ASD in the context of using a desktop virtual reality driving program. | Small sample size of the neurotypical comparison group |
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| Sheppard et al. 2010 (UK) | Cross-sectional study | To compare the ability of identifying 10 different driving hazards by stopping the video and pointing to the hazard between people with ASD and without ASD |
| (i) Participants with ASD identified fewer social hazards (those that involved people like pedestrians, cyclists), but not nonsocial hazards (e.g., cars). | Participants of the study are likely to have strategies prior to the experience to identify and respond to both types of hazard. |
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| Sheppard et al. 2016 (UK) | Cross-sectional study | To investigate whether individuals with ASD have difficulty judging the location of moving objects in a driving context using a time-to-arrival task on a desktop virtual reality program |
| (i) Participants with ASD were less accurate at predicting which of the two cars in the virtual reality program would arrive first at an intersection on a straight road. | Participants were all nondrivers so generalisability to drivers is not possible. |
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| Sheppard et al. 2017 (UK) | Case control study | Videos of 20 different driving situations with inbuilt hazards to (i) compare the ability of identifying the driving hazards by stopping the video and pointing to the hazard between people with ASD and without ASD and (ii) define whether people with ASD have difficulty in responding to hazards or orienting to them. |
| (i) Although nonsignificant, participants with ASD showed a slower fixation on the hazard source and a slower orientation to the hazards. | Limited to male young adults with ASD, but with no specific training or driving experience |
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| Wade et al. 2014 (USA) | Cross-sectional study | To determine if a novel virtual reality driving environment can detect between-group differences |
| (i) The ASD group experiencing a higher number of simulated driving failures | Small sample size: underpowered study |
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| Wade et al. 2015 (USA) | Cross-sectional study | To compare the effects on driving performance and gaze patterns using the gaze-contingent system and the gaze-insensitive, performance-based system |
| (i) The performance-based group showed a significantly higher mean vertical and right-sided gaze component when compared to the gaze-contingent group. | Small sample size: underpowered study. |
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| Zhang et al. 2015 (USA) | Descriptive study | To evaluate the feasibility of combining psychophysiological data collection with performance based data using a virtual reality program | 10 with ASD (age range = 13 to 17 years) | (i) The best accuracy to assess cognitive load was by combining eye gaze and EEG data in a hybrid data analysis model. | Small sample size: underpowered study |
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| Zhang et al. 2014 (USA) | Descriptive study | To determine if performance data and affective data can be combined to predict the optimum driving difficulty level of a virtual reality program | 7 with ASD (age range = 13 to 17 years) | (i) Combining performance and affective state data was better at predicting the difficulty level when compared to separating the data. | Small sample size: underpowered study |
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| Almberg et al. 2017 (Sweden) | Descriptive study | Questionnaires with open and closed questions to explore the facilitators or barriers in driving education experienced by individuals with ASD or ADHD who obtained a learner's permit, from the perspective of the learner drivers and their driving instructors |
| (i) Participants with ASD required twice as many driving lessons and more on-road test than those with ADHD. | Small sample size: underpowered study |
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∗Lindsay 2017 (Canada) | Systematic literature review | To systematically review the literature on factors (e.g., barriers and facilitators) affecting driving and motor vehicle transportation experiences of people with ASD | 22 studies from eight databases with 2919 participants (mean age 17.3 years | 13 studies focused on factors affecting driving including the following: | Research conducted on March 2015 |
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| Tyler 2013 (Australia) | Case study | To examine the problems faced by supervisors and instructors during training and the strategies that can be implemented to decrease the risks associated for drivers with Asperger's syndrome | Four case studies on the following: | (i) Problems included being easily distracted during driving, poor concentration, anxiety, and sensory overload | Interpretation of results of the study dependent on the sensitivity and integrity of the investigator |
∗Study included the collection of both driving and public transport data, with sufficient data about driving to be included in this review.