Mark W. Wiggins, Jaime C. Auton, Daniel Sturman, Ben W. Morrison, Brett R. C. Molesworth
{"title":"Sustaining Situational Assessment in Electrical Network Power Control","authors":"Mark W. Wiggins, Jaime C. Auton, Daniel Sturman, Ben W. Morrison, Brett R. C. Molesworth","doi":"10.1177/00187208241272072","DOIUrl":null,"url":null,"abstract":"ObjectiveThe aim of this study was to examine contributions to sustained situational assessment over an extended period in the context of electricity transmission control.BackgroundThe electricity industry is engaged in a period of unprecedented change in the transition to renewable sources of energy. Changes in the nature and function of electricity transmission risks a reduction in situational assessment as network controllers place increased reliance on advanced technology to identify and diagnose changes in the system state.MethodTransmission network controllers from three organisations completed an assessment of their situational assessment on two occasions, one year apart.ResultsMultiple regression revealed a statistically significant model in which the variance in Year 2 was predicted by a combination of performance in Year 1, the recency of formal training, and the extent to which controllers perceived their job as exciting. No relationship was evident for years of experience as a network controller.ConclusionThe results suggest that a combination of recent formal training and perceptions of job excitement may have implications in maintaining the capacity for situational assessment over an extended period in the context of electricity network control.ApplicationThe outcomes of the present study suggest that changes in situational assessment can be monitored and that strategies, including formal training and job design, may sustain situational assessment over an extended period in advanced technology settings.","PeriodicalId":520013,"journal":{"name":"Human Factors: The Journal of the Human Factors and Ergonomics Society","volume":"21 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Factors: The Journal of the Human Factors and Ergonomics Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/00187208241272072","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
ObjectiveThe aim of this study was to examine contributions to sustained situational assessment over an extended period in the context of electricity transmission control.BackgroundThe electricity industry is engaged in a period of unprecedented change in the transition to renewable sources of energy. Changes in the nature and function of electricity transmission risks a reduction in situational assessment as network controllers place increased reliance on advanced technology to identify and diagnose changes in the system state.MethodTransmission network controllers from three organisations completed an assessment of their situational assessment on two occasions, one year apart.ResultsMultiple regression revealed a statistically significant model in which the variance in Year 2 was predicted by a combination of performance in Year 1, the recency of formal training, and the extent to which controllers perceived their job as exciting. No relationship was evident for years of experience as a network controller.ConclusionThe results suggest that a combination of recent formal training and perceptions of job excitement may have implications in maintaining the capacity for situational assessment over an extended period in the context of electricity network control.ApplicationThe outcomes of the present study suggest that changes in situational assessment can be monitored and that strategies, including formal training and job design, may sustain situational assessment over an extended period in advanced technology settings.