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Titlebook: Human Mental Workload: Models and Applications; First International Luca Longo,M. Chiara Leva Conference proceedings 2017 Springer Interna

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发表于 2025-3-21 17:02:43 | 显示全部楼层 |阅读模式
书目名称Human Mental Workload: Models and Applications
副标题First International
编辑Luca Longo,M. Chiara Leva
视频video
概述Includes supplementary material:
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Human Mental Workload: Models and Applications; First International  Luca Longo,M. Chiara Leva Conference proceedings 2017 Springer Interna
描述This book constitutes the refereed proceedings of the First International Symposium on Human Mental Workload: Models and Applications, H-WORKLOAD 2017, held in Dublin, Ireland, in June 2017..The 15 revised full papers presented together with two keynotes were carefully reviewed and selected from 35 submissions. The papers are organized in two topical sections on models and applications.
出版日期Conference proceedings 2017
关键词air traffic; automation; cognitive workload; human factors; mental workload; modeling; performance; railway
版次1
doihttps://doi.org/10.1007/978-3-319-61061-0
isbn_softcover978-3-319-61060-3
isbn_ebook978-3-319-61061-0Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer International Publishing AG 2017
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Estimation of Train Driver Workload: Extracting Taskload Measures from On-Train-Data-Recordersut a journey. Example data from 16 commuter journeys are presented, which highlights the increased taskload during arrival at stations. Finally, the possibilities and limitations of the data are discussed.
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Adaptive Automation and the Third Pilot: Managing Teamwork and Workload in an Airline Cockpitutonomously by the system. In support of this, a new multimodal concept is proposed which supports improved assessment of crew state/workload (i.e. information inputs re crew activity/interactions provides a means to communicate with the crew in relation to crew state and decision support, and allows for flexible crew/cockpit interaction).
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The Relationship Between Workload and Performance in Air Traffic Control: Exploring the Influence ofen workload and performance. Findings are discussed in relation to capacity and arousal theories. Further research is needed to enhance understanding of how demand transition and workload history affects operator experience and performance, in both air traffic control and other safety-critical domains.
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The WASCAL-Tool: Prediction of Staffing for Train Dispatching as Part of the Design Process of Track for all levels of automation, currently in operation in the Netherlands. The tool is validated based on observations of train service on several track yards. The output of the tool in terms of staffing is reliable enough for the choices to be made during the design process of a new track yard.
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Quantification of Rail Signaller Demand Through Simulationll as the types of parameters that have been identified and quantified. Different categories of parameter, including static, dynamic and performance parameters have been captured and validated. Future directions for the tool are discussed.
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Neuroergonomics Method for Measuring the Influence of Mental Workload Modulation on Cognitive State re not obvious. RTs did not show any dependency on the level of workload applied. These results suggest that a wireless EEG, but also Kinect, can be used to measure the influence of MWL variation on the cognitive state of the workers.
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