Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Behzad Bashiri"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract This study examined Baltic Sea Marine Heatwaves (MHWs) using 42 years of satellite-derived sea surface temperature (SST) data. We found that MHWs in warmer months are more intense but shorter compared to MHWs in cooler months. Also, MHWs pre
Externí odkaz:
https://doaj.org/article/26bf2fc1cfdb4e4cbb930ac8ed1c3269
Publikováno v:
Journal of Agricultural Safety and Health. 26:95-104
HighlightsMost of the experienced operators performed machine egress facing out from the cab.Egress was 2.5 s longer when facing in toward the machine, but no differences were observed in points of contact maintained when compared to egress facing ou
Autor:
Behzad Bashiri, Danny D Mann
Publikováno v:
Journal of Agricultural Safety and Health. :129-139
Drivers inadequate mental workload has been reported as one of the nega- tive effects of driving assistant systems and in-vehicle automation. The increasing trend of automation in agricultural vehicles raises some concerns about drivers mental work-
Autor:
Behzad Bashiri, Danny D Mann
Publikováno v:
The Ergonomics Open Journal. 7:6-12
The goal of this study was to assess the sensitivity of the heart rate variability measure to variations in task difficulty and drivers' mental workload in agricultural semi-autonomous vehicles. 30 young participants with at least one year of tractor
Autor:
Behzad Bashiri, Danny D Mann
Publikováno v:
Biosystems Engineering. 124:8-15
The effects of in-vehicle automation and driving assistant systems on the situation awareness of drivers have been the subject of much research with the implications of automation in such man-machine systems being identified. With the introduction of
Autor:
Behzad Bashiri, Danny D Mann
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 57:1795-1799
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 system