Using the Functional Object Detection—Advanced Driving Simulator Scenario to Examine Task Combinations and Age-Based Performance Differences: A Case Study

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.

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Publication Details

Journal
Applied Sciences
Published
2024-12-19
DOI
https://doi.org/10.3390/app142411892
Citations
3
Primary Topic
Older Adults Driving Studies
Type
article
Field-Weighted Citation Impact
3.44

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article

Using the Functional Object Detection—Advanced Driving Simulator Scenario to Examine Task Combinations and Age-Based Performance Differences: A Case Study

Breno Schwambach, Patrick J. Rosopa, Lauren Mims, Rakesh Gangadharaiah et al.
3 citations
Applied Sciences
Older Adults Driving Studies
3.44
article

Using the Functional Object Detection—Advanced Driving Simulator Scenario to Examine Task Combinations and Age-Based Performance Differences: A Case Study

Breno Schwambach, Patrick J. Rosopa, Lauren Mims, Rakesh Gangadharaiah, Elenah B. Rosopa, Casey Jenkins, Johnell O. Brooks, Ken Melnrick, Rebecca Pool
article en
3 citations

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.

Applied SciencesVol. 14(24)
Draper Laboratory (US), Clemson University (US)
Clemson University, Fullerton College Foundation, CCDC Ground Vehicle Systems Center, U.S. Army Combat Capabilities Development Command
Quality Education
Openalex Percentile: Top 6%
Older Adults Driving Studies
3.44
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