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Work as Done? Understanding the Practice of Sociotechnical Work in the Maritime Domain
- Source :
- Journal of Cognitive Engineering and Decision Making. 11:270-295
- Publication Year :
- 2017
- Publisher :
- SAGE Publications, 2017.
-
Abstract
- Pilots and vessel traffic services (VTS) operators work to improve the safety of navigation of seagoing vessels. As in many other safety-critical domains, work is increasingly characterized by the integration and dissemination of information between humans and technology, across disciplines, and over multiple geographical locations. Empirical studies of navigational assistance were analyzed with the Functional Resonance Analysis Method (FRAM) to understand what pilots and VTS operators do and how it contributes toward maritime safety. Successful assistance was found to be dependent on (1) the use of local knowledge, preparation, and foresight to integrate information from a range of sources and (2) communication and trust between the pilot, VTS operator, and the master and crew of the vessel to provide timely assistance to vessels. FRAM was found to be a valuable tool for describing sociotechnical work but was enriched by borrowing from ethnographically inspired work studies traditions, with their strong grounding in empirical studies and themes of “making work visible,” symmetry between human and nonhuman, and work as activity. This approach indicates that bringing ideas from different traditions together to understand a real work practice may bring us closer to describing “work as done” and its contribution to safe everyday operations.
- Subjects :
- Engineering
Knowledge management
Sociotechnical system
business.industry
05 social sciences
Human Factors and Ergonomics
Computer Science Applications
Domain (software engineering)
Futures studies
Empirical research
Work (electrical)
Order (exchange)
Human–computer interaction
0502 economics and business
0501 psychology and cognitive sciences
Vessel traffic service
business
Engineering (miscellaneous)
Dissemination
050203 business & management
050107 human factors
Applied Psychology
Subjects
Details
- ISSN :
- 15553434
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Journal of Cognitive Engineering and Decision Making
- Accession number :
- edsair.doi...........54fcce00aa11c9f3dd2c527c5aa7cd5a
- Full Text :
- https://doi.org/10.1177/1555343417707664