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Träfflista för sökning "WFRF:(Kecklund Lena) srt2:(2010-2014)"

Sökning: WFRF:(Kecklund Lena) > (2010-2014)

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1.
  • Barnard, Yvonne, et al. (författare)
  • Selection of operator support systems across modes
  • 2010
  • Rapport (övrigt vetenskapligt/konstnärligt)abstract
    • This Deliverable provides an outline of the process involved in task 2.2 of the ITERATE project forselecting an appropriate set of hypotheses to be tested inWorkpackages 3 (Experimental design andscenario specification), and 4 (Experimental studies).During a workshop with all partners involved in the project, hypotheses were formulated for thethree main system functionalities outlined in D2.1: those that support speed management (SpeedManagement), systems that support system object detection and avoidance (Collision Avoidance)and those that monitor operator state (Operator State). In formulating these hypotheses, partnerswere encouraged to consider systematically the effect of operator state and different operatorgroups on interaction with these three systems. To allow succinct formulation of hypotheses, fouroperator based parameters which are thought to affect operator behaviour with the system, wereidentified: sensation-seeking, hazard perception, fatigue and (high and low) task demand. Informulating hypotheses, partnerswere encouraged to consider the whole process linking a cause toan effect, with a clear mechanism that would link the two.
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2.
  • Kecklund, Lena, et al. (författare)
  • Systemsäkerhet i arbetslivet: Förklaringar och gemensamma mönster
  • 2014
  • Ingår i: Arbetsmarknad & Arbetsliv. - Karlstad : Karlstads universitet. - 1400-9692 .- 2002-343X. ; 20:3, s. 41-53
  • Tidskriftsartikel (refereegranskat)abstract
    • Olyckor och skador kan förebyggas genom att tillämpa ett systemsäkerhetsperspektiv. Med systemsäkerhetsperspektiv avses här att anta ett synsätt som tar hänsyn till helheten, vilket bland annat innebär att arbeta med samspelet mellan människa, teknik, organisation och säkerhetskultur för att skapa en god riskhantering. Detta innebär i de flesta fall även att verksamhetens produktionsprocesser förbättras. Vid en genomgång av ett större antal olycksutredningar har vissa gemensamma mönster av brister i olika verksamheters produktionsprocesser, oavsett bransch, kunnat identifieras. Att lära sig av dessa gemensamma mönster bidrar till god riskhantering.
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3.
  • Tapani, Andreas, et al. (författare)
  • Results from the analysis and input to the development and validation of the statistical models
  • 2011
  • Rapport (övrigt vetenskapligt/konstnärligt)abstract
    • The aim of Deliverable 5.1 of the ITERATE project is to present results of analyses made of the data collected in the ITERATE WP4 driving simulator experiments. The ITERATE WP4 driving simulator experiments consisted of train and car driving experiments carried out on a portable car/train driving simulator platform and in full scale car and train driving simulators. The analyses conducted and presented in this deliverable consist of hypothesis testing, cluster analysis and development of a procedure for estimation of parameters of relationships in the WP6 UMD simulation model. Findings from the analyses show that country was found to be an important factor in both the car and train driving experiment. Significant effects of the factor workload were also established in many of the events analysed. The conclusion of comparisons between the data collected in the portable and full scale simulators is that the ITERATE portable driving simulator platform is a suitable tool to studying underlying factors controlling driver behaviour at least for the car diving. However, there were differences between the portable and full scale train simulators. These differences have to be considered in later stages of the project. The next step within the ITERATE project is to estimate relevant relationships in the WP6 UMD simulation model based on the findings of the analyses presented in this deliverable. The analyses presented will also be important as inspiration for other studies outside of the present project with the ITERATE driving simulator dataset as an important source of data.
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