Paper Info
Title
A Method to Reveal Workload Weak-Resilience-Signals at a Rail Control Post.
Abstract
Reorganization of a rail control post may affect its ability to cope with unexpected disruptions. The term 'resilience', the ability to manage spare adaptive capacity when unexpected events occur, encapsulates this situation. This paper focuses on the workload adaptive capacity through a method for revealing workload weak-resilience-signals (WRS). Three different workload measurements are adapted to identify structural changes in workload. The first, executed cognitive task load, targets system activities. The second, integrated workload scale, is a subjective measure. The last, heart rate variability, identifies physiological arousal because of workload. An experiment is designed to identify the workload change and distribution across group members during disruptions. A newly defined Stretch, the reaction of the system to an external cluster-event, is used to reveal a workload WRS. The method is suitable for real-time usage and provides the means for the rail signaler to influence the system through his subjective workload perception.
Year
DOI
Venue
2014
10.1007/978-3-319-07515-0_9
Lecture Notes in Computer Science
Keywords
Field
DocType
Resilience,weak resilience signal,WRS,objective and subjective Stretch,workload,rail operations,rail control post
Psychological resilience,Spare part,Workload,Computer science,Real-time computing,Unexpected events,Adaptive capacity,Cognition,Perception,Reliability engineering,Distributed computing
Conference
Volume
ISSN
Citations 
8532
0302-9743
1
PageRank 
References 
Authors
0.37
1
2
Name
Order
Citations
PageRank
Aron W. Siegel110.37
Jan Maarten Schraagen213013.99