The Driving Advisement System: A Computer-Augmented Quasi-Simulation of the Cognitive Prerequisites for Resumption of Driving after Brain Injury
| Autor: | Frank Mandriota, Amy Campbell, Aaron Beattie, Rosamond Gianutsos |
|---|---|
| Rok vydání: | 1992 |
| Předmět: |
Automobile Driving
Engineering Poison control Physical Therapy Sports Therapy and Rehabilitation Computer security computer.software_genre Suicide prevention Rendering (computer graphics) Disability Evaluation Cognition Injury prevention Humans Computer Simulation business.industry Rehabilitation Cognitive flexibility Human factors and ergonomics Equipment Design Evaluation Studies as Topic Brain Injuries Automobile Driver Examination Normative business computer Cognitive psychology |
| Zdroj: | Assistive Technology. 4:70-86 |
| ISSN: | 1949-3614 1040-0435 |
| Popis: | No other activity so starkly pits the needs of the individual recovering from brain injury against the protection of society than does operating a motor vehicle. Cognitive abilities (e.g., response to complex processing demands, impulse control, ability to sustain performance, mental flexibility, and judgment), while evident only indirectly, are essential to performance, yet few are well sampled in currently used assessment procedures, which, instead, emphasize visuo-motor coordination and reaction time. In response to this need, a computerized quasi-simulation, the Driving Advisement System (DAS), was developed and is introduced here. The DAS incorporates a set of computer-based tasks for use by professionals charged with rendering advice concerning cognitive abilities necessary for driving safely. Normative data on DAS measures were obtained from a group of over 60 safe drivers free of significant neurological impairment. Preliminary validation findings are summarized. A sample DAS-generated report for a brain-injury survivor, who sought to resume driving, is used to illustrate the graphic norm-referenced presentation of an individual's performance together with self-appraisal ratings. Language: en |
| Databáze: | OpenAIRE |
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