Paper Info
Title
Task-model based assessment of automation levels: Application to space ground segments
Abstract
Designing systems in such a way that as much functions as possible are automated has been the driving direction of research and engineering in aviation, space and more generally in computer science for many years. In the 90's many studies (e.g. [12] related to the notion of mode confusion) have demonstrated that fully automated systems are out of the grasp of current technologies and that additionally migrating functions [2] from the operator to the system might have disastrous impact on operations both in terms of safety and usability. In order to be able to design automation with a hedonic view of the involved factors (safety, usability, reliability, ...) a complete understanding of operator's tasks is required prior to considering migrating them to the system side. This paper proposes a contribution for reasoning about automation designs using a model-based approach exploiting refined task models. These models describe operations with enough details in order to reason about automation and to rationalize automation designs. In this paper we present how such representations can support the assessment of alternative design options for automation. The proposed approach is applied to satellite ground segments.
Year
DOI
Venue
2011
10.1109/ICSMC.2011.6084173
Systems, Man, and Cybernetics
Keywords
Field
DocType
design engineering,interactive systems,model-based reasoning,computer science,current technologies,design automation,model-based approach,model-based reasoning,satellite ground segments,task-model based assessment,Interactive critical systems design,formal models,levels of automation
GRASP,Information processing,Totally integrated automation,Computer science,Usability,Model-based reasoning,Automation,Software,Electronic design automation,Artificial intelligence,Machine learning
Conference
ISSN
ISBN
Citations 
1062-922X
978-1-4577-0652-3
19
PageRank 
References 
Authors
0.87
6
4
Name
Order
Citations
PageRank
Célia Martinie123225.78
Philippe Palanque271668.40
Eric Barboni328018.82
Martina Ragosta4463.34