Dataset for: Human factor influences on supervisory control of remotely operated and autonomous vessels

Dataset

DOI

Experimental results investigating the effects of five independent factors on supervisory control of autonomous maritime vessels from a land-based control center. This database includes raw data from a simulator experiment with 32 trials. Each trial represents a participant's performance after completion of two different simulated scenarios. The participant was tasked with remotely supervising autonomous ferries and taking preventative actions, if needed. Participants were recruited from two groups: expert maritime navigators and video game players. Data can be used to measure performance and reaction time. The five independent factors investigated where: (A) Skillset (B) Monitoring Time (C) Number of Vessels (D) Available Time and (E) Decision Support System.

Gemini Simulator, v1.0

Identifier
DOI	https://doi.org/10.18710/WYFMMP
Related Identifier	https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4437731
Metadata Access	https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/WYFMMP

Provenance
Creator	Veitch, Erik
Publisher	DataverseNO
Contributor	Veitch, Erik; NTNU – Norwegian University of Science and Technology; Senderud, Kristin
Publication Year	2023
Funding Reference	The Research Council of Norway LOAS (Project number 296527)
Rights	CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess	true
Contact	Veitch, Erik (NTNU – Norwegian University of Science and Technology)

Representation
Resource Type	Machine-readable text; Dataset
Format	text/plain; application/zip
Size	44840; 31223748; 26437603; 24861584
Version	2.0
Discipline	Construction Engineering and Architecture; Design; Engineering; Engineering Sciences; Fine Arts, Music, Theatre and Media Studies; Humanities
Spatial Coverage	NTNU Shore Control Lab