Drivers’ Mental Workload In Agricultural Semi-Autonomous Vehicles
| Autor: | Behzad Bashiri, Danny D Mann |
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| Rok vydání: | 2013 |
| Předmět: | |
| Zdroj: | Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 57:1795-1799 |
| ISSN: | 1071-1813 2169-5067 |
| Popis: | Drivers’ mental workload when using driving assistant systems and in-vehicle automation has been the subject of many studies in recent years. Drivers of semi-autonomous agricultural vehicles are experiencing an increasing number of automated systems. Due to implications of automation support on the operators’ performance, a human factors perspective is needed to identify the consequences of such automated systems. In this simulator study, the effects of vehicle steering and implement monitoring and control automation were investigated using a tractor air-seeder system as a case study. Experiments were conducted using the tractor air-seeder driving simulator (TAS-DS) located in the Agricultural Ergonomics Laboratory at the University of Manitoba. Study participants were university students with tractor driving experience. Based on the results from the experiment, most of the automation conditions impose moderate levels of mental workload on operators. Implement monitoring and control automation show significant effect on the drivers’ mental workload, contrary to the steering automation. |
| Databáze: | OpenAIRE |
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