An intelligent operator support system for dynamic positioning

conference paper
2018
Diggelen, J. van

Broek, J. van den

Schraagen, J.M.C.

Waa, J.S. van der
This paper proposes a human-centered approach to Dynamic Position-ing systems which combines multiple technologies in an intelligent operator sup-port system (IOSS). IOSS allows the operator to be roaming and do other tasks in quiet conditions. When conditions become more demanding, the IOSS calls the operator to return to his bridge position. In particular, attention is paid to hu-man factors issues such as trust misalignment, and context-aware interfaces.
Topics
Cognitive systems engineeringDynamic positioningPersonal assistantsPredictive analyticsDynamic positioningElectric industryHuman engineeringPredictive analyticsContext-AwareDynamic positioning systemsIntelligent operatorMultiple technologyPersonal assistantsCognitive systems
TNO Identifier
777407
Repository link
https://resolver.tno.nl/uuid:fcf57b9b-1a1d-410b-9e85-08c8fc72d93b
ISSN
21945357
ISBN
9783319602035
Publisher
Springer Verlag
Source title
AHFE 2017 International Conference on Human Factors in Energy : Oil, Gas, Nuclear and Electric Power Industries, 2017. 17 July 2017 through 21 July 2017
Editor(s)
Legatt, M.
Fechtelkotter, P.
Pages
48-59
Files
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