Using the Functional Object Detection—Advanced Driving Simulator Scenario to Examine Task Combinations and Age-Based Performance Differences: A Case Study
Source abstract
Abstract
Occupational therapists need objective tools to evaluate and provide interventions that promote the recovery and rehabilitation of clients. Driving, a common goal for clients after an injury or illness, is a complex task that relies on visual, cognitive, and motor skills. The Functional Object Detection and Functional Object Detection (FOD)—Advanced driving simulator scenarios were developed to provide objective and repeatable driving experiences allowing clinicians to assess their clients’ forward (focal) and peripheral vision, lane keeping, and speed maintenance, as well as provide interventions. Using FOD—Advanced, clinicians can adjust variables to create various task scenarios or combinations to meet the client’s needs and facilitate recovery by providing an appropriate challenge. This study examined four driving simulator scenario combinations and age-related differences for one combination. Study 1 explored older adults’ performance using four possible combinations of FOD—Advanced. Five out of eleven variables (average target reaction time, percentage of targets detected, average brake reaction time, number of target extra presses, and average speed) were effective in distinguishing among the four combinations of FOD with a cross-validated classification rate of 72%. In Study 2, one combination was selected from Study 1 and a group of teens completed the same tasks to evaluate age-related differences. Four out of thirteen simulator variables (standard deviation of brake reaction time, number of target extra presses, average target reaction time, and standard deviation of target reaction time) maximally distinguished the older adults from the younger participants with a cross-validated classification accuracy of 78%. Implications and recommendations for clinical practice and future research are provided.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Older Adults Driving Studies · Urban Transport and Accessibility · Traffic and Road Safety
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Automotive Engineering, Clemson University, Greenville, SC 29607, USA
Department of Psychology, Clemson University, Clemson, SC 29634, USA
DriveSafety, Inc., Draper, UT 84020, USA
Funding
Fullerton Foundation · Clemson University’s Virtual Prototyping of Autonomy Enabled Ground Systems (VIPR-GS)
References (60)
Show source-provided references
1. Effectiveness of a Visual Attention Retraining Program on the Driving Performance of Clients with Stroke10.1053/apmr.2003.50085 ↗
2. A Comparative Analysis of Voluntary In-Vehicle Distractions of Drivers’ Visual Attention10.1016/j.trf.2023.07.001 ↗
3. Cognitive Predictors of Unsafe Driving in Older Drivers: A Meta-Analysis10.1017/S1041610209009119 ↗
4. Rothe, J.P. (2020). The Safety of Elderly Drivers: Yesterday’s Young in Today’s Traffic, Routledge.10.4324/9780429339363 ↗
5. The Improvement of Road Driving Safety Guided by Visual Inattentional Blindness10.1109/TITS.2020.3044927 ↗
6. Mild Functional Decline and Driving Performance of Older Drivers without a Diagnosed Dementia: Study of Leukoaraiosis and Cognitive Function10.1016/j.trf.2020.09.016 ↗
7. U.S. Department of Transportation (2021). Traffic Safety Facts. Older Population.
8. (2024, November 17). NHTSA National Statistics, Available online: https://cdan.dot.gov/tsftables/National%20Statistics.pdf.
9. Changes in Driving Patterns and Worsening Depressive Symptoms Among Older Adults10.1093/geronb/56.6.S343 ↗
10. Driving Cessation and Increased Depressive Symptoms: Prospective Evidence from the New Haven EPESE10.1111/j.1532-5415.1997.tb04508.x ↗
11. Driving Cessation and Social Isolation in Older Adults10.1177/0898264319870400 ↗
12. Driving Cessation and Increased Depressive Symptoms10.1093/gerona/60.3.399 ↗
13. Delany, J. (2016). Driving and Community Mobility. Am. J. Occup. Ther., 70.
14. (2024, June 23). World Federation of Occupational Therapists. Available online: https://www.wfot.org/resources/occupational-therapy-in-driving-and-community-mobility.
15. Blanco, G., Krause, D., and Kinney, J. (2023). Driving and Community Mobility: An Online Educational Program for Generalist Occupational Therapy Practitioners. [Ph.D. Thesis, University of Nevada].
16. Automated Vehicles: Future Initiatives for Occupational Therapy Practitioners and Driver Rehabilitation Specialists10.1177/15394492241229993 ↗
17. American Occupational Therapy Association (2014). Occupational Therapy Practice Framework: Domain and Process (3rd Edition). Am. J. Occup. Ther., 68, S1–S48.10.5014/ajot.2014.68S1 ↗
18. OT-DRIVE: Integrating the IADL of Driving and Community Mobility into Routine Practice
19. Clark, A.F. (October, January 30). Driving Risk Calculator: Fillable File Recording Forms, Updated Objective Tests. Proceedings of the Association for Driver Rehabilitation Specialists 46th Annual Conference, Charlotte, NC, USA.
20. (2022, November 19). GRID Generalist Resource to Integrate Driving. Available online: https://adaptivemobility.thinkific.com/courses/GRID.
21. (2024, November 25). Generalist’s Resource to Integrate Driving (GRID). Available online: https://img1.wsimg.com/blobby/go/23a8ff55-4afd-4c7c-a09c-2abdb72ac725/downloads/GRID%20Tool.pdf?ver=1697038212401.
22. Cumulative Meta-Analysis of the Relationship Between Useful Field of View and Driving Performance in Older Adults: Current and Future Implications10.1097/01.opx.0000175009.08626.65 ↗
23. Effect of Visual Impairment on Driving10.1177/001872089403600305 ↗
24. Age and Visual Impairment Decrease Driving Performance as Measured on a Closed-Road Circuit10.1518/0018720024497664 ↗
25. The Useful Field of View Test: A New Technique for Evaluating Age-Related Declines in Visual Function
26. Rater-Reliability of Assessing Driving Errors with a DriveSafety 250 Simulator10.1080/07380577.2022.2031370 ↗
27. A Comparison of Night Hazard Detection between Younger and Older Drivers under Driving Simulation and Real-World Conditions10.1080/07380577.2023.2232034 ↗
28. Introduction to Special Issue on Driving and Community Mobility10.1080/07380577.2024.2298160 ↗
29. Advantages of Training with an Adaptive Driving Device on a Driving Simulator Compared to Training Only on the Road10.1080/17483107.2019.1673837 ↗
30. Driving Simulator, Virtual Reality, and On-Road Interventions for Driving-Related Anxiety: A Systematic Review10.1080/0164212X.2021.1877593 ↗
31. Koohestani, A., Kebria, P., Khosravi, A., and Nahavandi, S. (2018, January 10–13). Drivers Performance Evaluation Using Physiological Measurement in a Driving Simulator. Proceedings of the 2018 Digital Image Computing: Techniques and Applications (DICTA), Canberra, ACT, Australia.10.1109/DICTA.2018.8615763 ↗
32. Use of a Driving Simulator in Medical Fitness to Drive Evaluations: Lessons Learned10.1016/j.apmr.2022.08.628 ↗
33. Evaluating and Enhancing Driving Skills for Individuals With Intellectual Disabilities Through Simulator Training10.1177/1088357620985458 ↗
34. Sætren, G.B., Pedersen, P.A., Robertsen, R., Haukeberg, P., Rasmussen, M., and Lindheim, C. (2018). Simulator Training in Driver Education—Potential Gains and Challenges. Safety and Reliability—Safe Societies in a Changing World, CRC Press.10.1201/9781351174664-257 ↗
35. Developing PC-Based Driving Simulator System for Driver Behavior Analysis Research10.1088/1742-6596/1566/1/012075 ↗
36. Driving Simulators for Occupational Therapy Screening, Assessment, and Intervention10.3109/07380577.2014.901590 ↗
37. A Case History and Lessons of an Academic Research Team Using Driving Simulators
38. (2023, November 28). DriveSafety. Available online: https://drivesafety.com/research-driving-simulators/.
39. Simulator Sickness during Driving Simulation Studies10.1016/j.aap.2009.04.013 ↗
40. Display Configurations in a Small Footprint Clinical Driving Simulator10.1016/j.displa.2012.05.002 ↗
41. Developing a Driving Simulator Based Functional Object Detection Task10.3109/07380577.2012.721575 ↗
42. Interactive Tools for Measuring Visual Scanning Performance and Reaction Time10.5014/ajot.2017.020461 ↗
43. Developing a New Driving Simulator Task to Assess Drivers’ Functional Object Detection10.1177/154193121005400204 ↗
44. (2022, June 05). R Core Team R: A Language and Environment for Statistical Computing. Available online: https://www.r-project.org/.
45. Tierney, R., Rizvi, F., Ercikan, K., and Smith, G. (2023). Analysis of Variance: Univariate and Multivariate Approaches. International Encyclopedia of Education, Elsevier.
46. Rencher, A.C., and Christensen, W.F. (2012). Methods of Multivariate Analysis, John Wiley & Sons, Inc.10.1002/9781118391686 ↗
47. Landwehr, J.R. (2021). Analysis of Variance. Handbook of Market Research, Springer.10.1007/978-3-319-57413-4_16 ↗
48. Dugard, P., Todman, J., and Staines, H. (2022). Analysis of Variance (ANOVA). Approaching Multivariate Analysis, Routledge. [2nd ed.].10.4324/9781003343097 ↗
49. Multiple Comparison Test by Tukey’s Honestly Significant Difference (HSD): Do the Confident Level Control Type I Error10.22271/maths.2021.v6.i1a.636 ↗
50. Comparing Multiple Comparisons: Practical Guidance for Choosing the Best Multiple Comparisons Test10.7717/peerj.10387 ↗
51. Xanthopoulos, P., Pardalos, P.M., and Trafalis, T.B. (2013). Linear Discriminant Analysis. Robust Data Mining, Springer.10.1007/978-1-4419-9878-1 ↗
52. Linear Discriminant Analysis10.1038/s43586-024-00346-y ↗
53. King, B., Rosopa, P., and Minium, E. (2018). Statistical Reasoning in the Behavioral Sciences, John Wiley & Sons. [7th ed.].
54. James, G., Hastie, T., Tibshirani, R., and Witten, D. (2013). An Introduction to Statistical Learning: With Applications in R, Springer.10.1007/978-1-4614-7138-7 ↗
55. Knowledge, Skills and Attitudes of Doctors towards Assessing Cognition in Older Patients in the Emergency Department10.1136/postgradmedj-2012-131226 ↗
56. T-Test and ANOVA for Data with Ceiling and/or Floor Effects10.3758/s13428-020-01407-2 ↗
57. Cohen, J. (2016). A Power Primer. Methodological Issues and Strategies in Clinical Research, American Psychological Association. [4th ed.].10.1037/14805-018 ↗
58. Cohen, J. (2013). Statistical Power Analysis for the Behavioral Sciences, Routledge.10.4324/9780203771587 ↗
59. Tefft, B. (2017). Rates of Motor Vehicle Crashes, Injuries and Deaths in Relation to Driver Age, United States, 2014–2015, AAA Foundation for Traffic Safety.
60. Cognitive Training Decreases Motor Vehicle Collision Involvement of Older Drivers10.1111/j.1532-5415.2010.03138.x ↗