Shared Mental Models of Challenging Maritime Situations: Comparisons of Ship and Shore Personnel in the Straits of Malacca and Singapore

Shared mental models, measured as similar perceptions and understandings of the components of a work task or an operative environment, is a key characteristic for high performing teams. Identifying and addressing differences in mental models may help enhance teamwork, and can serve as a frame for the improvement of human‐centered information and communication systems. This paper has been written as part of the SESAME Straits project, a testbed within the e‐Navigation framework. It examines similarities and differences in mental models between Deck Officers working aboard ships and Vessel Traffic Service Officers working ashore. Data was compared the participants ́ perception of 12 challenging traffic situations in the Straits of Malacca and Singapore. A total of 189 respondents participated by means of an electronic survey. Findings show that Deck and Vessel Traffic Officers do have a large degree of shared mental models, but that there also are significant differences. In particular, there are large ship‐shore differences in perceptions of the impact on local ship traffic on safety and efficiency. The second and third situation of large difference was delayed or reduced availability of port services, and challenging weather conditions. Implications are that future development of ship‐shore collaborative systems should specifically explore and address the issue of local ship traffic, and to find ways to integrate information about availability and timing of port services and of difficult weather situations. http://www.transnav.eu the International Journal on Marine Navigation and Safety of Sea Transportation Volume 11

[1]  Gesa Praetorius,et al.  The context matters: Maritime safety in the Vessel Traffic Service (VTS) domain , 2010 .

[2]  Catherine E. Volpe,et al.  Defining Competencies and Establishing Team Training Requirements , 1995 .

[3]  HimmaKenneth Einar The concept of information overload , 2007 .

[4]  Gesa Praetorius,et al.  Maritime traffic management: a need for central coordination? , 2012, Cognition, Technology & Work.

[5]  Margareta Lützhöft,et al.  Decision support for vessel traffic service (VTS): user needs for dynamic risk management in the VTS. , 2012, Work.

[6]  Ahmad C. Bukhari,et al.  An intelligent real-time multi-vessel collision risk assessment system from VTS view point based on fuzzy inference system , 2013, Expert Syst. Appl..

[7]  Thomas Porathe,et al.  Human Factor Aspects in Sea Traffic Management , 2015 .

[8]  Dana E. Sims,et al.  Is there a “Big Five” in Teamwork? , 2005 .

[9]  Margareta Lützhöft,et al.  On Your Watch: Automation on the Bridge , 2002, Journal of Navigation.

[10]  Lee Alexander,et al.  IHO S-100: The New Hydrographic Geospatial Standard for Marine Data and Information , 2009 .

[11]  Chih-Yung Cheng,et al.  Fuzzy Decision on Optimal Collision Avoidance Measures for Ships in Vessel Traffic Service , 2012 .

[12]  Gesa Praetorius,et al.  Learning lessons in resilient traffic management: A cross-domain study of Vessel Traffic Service (VTS) and Air Traffic Control (ATC) , 2012 .

[13]  Bernard Gardner,et al.  The marine electronic highway in the Straits of Malacca and Singapore—an assessment of costs and key benefits , 2006 .

[14]  Tayfur Altiok,et al.  Risk Analysis of the Vessel Traffic in the Strait of Istanbul , 2009, Risk analysis : an official publication of the Society for Risk Analysis.

[15]  Gesa Praetorius,et al.  Learning lessons in resilient traffic management : A cross-domain study of Vessel Traffic Service and Air Traffic Control , 2012 .

[16]  Zinatul Ashiqin Zainol,et al.  E-Navigation in the Straits of Malacca and Singapore , 2013 .

[17]  Margareta Lützhöft,et al.  Shore-Based Pilotage: Pilot or Autopilot? Piloting as a Control Problem , 2009, Journal of Navigation.

[18]  Kjell Ivar Øvergård,et al.  Impact of training methods on Distributed Situation Awareness of industrial operators , 2015 .

[19]  Margareta Lützhöft,et al.  Maritime application of control systems , 2009 .

[20]  Adam Weintrit,et al.  e-Navigation and the Human Element , 2010 .

[21]  Jung Sik Jeong,et al.  Prediction Table for Marine Traffic for Vessel Traffic Service Based on Cognitive Work Analysis , 2013, Int. J. Fuzzy Log. Intell. Syst..

[22]  E. Reed The Ecological Approach to Visual Perception , 1989 .

[23]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[24]  Thomas W. Jackson,et al.  Theory-based model of factors affecting information overload , 2012, Int. J. Inf. Manag..

[25]  B. Brooks,et al.  Balancing on the boundary: vessel traffic services in the maritime traffic system , 2016 .

[26]  N. Allen,et al.  Examining the convergent validity of shared mental model measures , 2012, Behavior Research Methods.

[27]  X. Qu,et al.  The economic importance of the Straits of Malacca and Singapore: An extreme-scenario analysis , 2012 .

[28]  Adam Weintrit,et al.  Development of the IMO e-Navigation Concept - Common Maritime Data Structure , 2011, TST.