2021
DOI: 10.1017/pds.2021.102
|View full text |Cite
|
Sign up to set email alerts
|

Design for Resilient Human-System Interaction in Autonomy: The Case of a Shore Control Centre for Unmanned Ships

Abstract: Artificial intelligence is transforming how we interact with vehicles. We examine the case of Maritime Autonomous Surface Ships (MASS), which are emerging as a safer and more effective solution for maritime transportation. Despite the focus on autonomy, humans are predicted to have a central role in MASS operations from a Shore Control Centre (SCC). Here, operators will provide back-up control in the event of system failure. There are signification design challenges with such a system. The most critical is hum… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 9 publications
(3 citation statements)
references
References 18 publications
0
3
0
Order By: Relevance
“…In AURLab, simulators are used for various purposes, such as training our engineers and operators in the use of different vehicles, testing various mission scenarios, and introducing new algorithms in a safe and controlled environment without the risks and expenses associated with field deployments. Simulators also provide an environment to evaluate the behavior and operational performance of pilots under high cognitive load scenarios, e.g., piloting in challenging conditions, navigating through obstacles, or performing complex and multiple operations [48,49]. Furthermore, simulators are used in education to bring students closer to real underwater operations, to teach them how to operate different vehicles prior to field operations, and to motivate them to perform as many of their experiments as possible in a virtual environment, which is much more affordable and logistically less demanding.…”
Section: Virtual Experimentationmentioning
confidence: 99%
“…In AURLab, simulators are used for various purposes, such as training our engineers and operators in the use of different vehicles, testing various mission scenarios, and introducing new algorithms in a safe and controlled environment without the risks and expenses associated with field deployments. Simulators also provide an environment to evaluate the behavior and operational performance of pilots under high cognitive load scenarios, e.g., piloting in challenging conditions, navigating through obstacles, or performing complex and multiple operations [48,49]. Furthermore, simulators are used in education to bring students closer to real underwater operations, to teach them how to operate different vehicles prior to field operations, and to motivate them to perform as many of their experiments as possible in a virtual environment, which is much more affordable and logistically less demanding.…”
Section: Virtual Experimentationmentioning
confidence: 99%
“…The physical layout and instrumentation of the NTNU Shore Control Lab is based on resilience engineering and human-centered design methods [33]. Details on the lab's research aims and its integration with the rest of the NTNU autonomous ferry infrastructure are presented in [1].…”
Section: Shore Control Labmentioning
confidence: 99%
“…Work towards scaling MASS and ASVs into widespread use raises new challenges related to ensuring that AI system goals are aligned with the values of those who will be interacting with them. This is broadly the motivation behind the growing field of Explainable AI (XAI), characterized, as expressed by [13], by its mission to 'create AI systems whose learned models and decisions can be understood and appropriately trusted by end users' (p. 44). This mission is necessarily multi-disciplinary, meeting at the crossroads of fields as diverse as cognitive science, human-computer interaction, cybernetics, safety engineering, computer science, human factors, sociology, and others.…”
Section: Introductionmentioning
confidence: 99%