Assessing the Spatio-Temporal Fitness of Information Supply and Demand on an Adaptive Ship Bridge

The information supply to crew on nautical ship bridges has a significant impact on the probability of accident occurrences. A reason is, too much or too less information is supplied, not satisfying the information demand. A solution to this problem is the Adaptive Ship Bridge - a system that closes this information gap between supply and demand by adaptation. However, to create an effective Adaptive Ship Bridge it is necessary to assess the information gap during design time. The thesis introduced in this paper proposes a novel method for assessment in spatio-temporal and information quality dimensions. The method will allow designing Adaptive Ship Bridges that will help to reduce accident risk.

[1]  Guy H. Walker,et al.  Distributed Situation Awareness: Theory, Measurement and Application to Teamwork , 2009 .

[2]  A. Tversky.  Features of Similarity , 1977 .

[3]  Kenneth Baclawski,et al.  A core ontology for situation awareness , 2003, Sixth International Conference of Information Fusion, 2003. Proceedings of the.

[4]  Mouzhi Ge,et al.  A Review of Information Quality Research - Develop a Research Agenda , 2007, ICIQ.

[5]  Sven Hartmann,et al.  Advances in Conceptual Modeling – Challenges and Opportunities , 2008, Lecture Notes in Computer Science.

[6]  Christine Chauvin,et al.  Human and organisational factors in maritime accidents: analysis of collisions at sea using the HFACS. , 2013, Accident; analysis and prevention.

[7]  Diane M. Strong,et al.  Beyond Accuracy: What Data Quality Means to Data Consumers , 1996, J. Manag. Inf. Syst..

[8]  N A Stanton,et al.  Distributed situation awareness in dynamic systems: theoretical development and application of an ergonomics methodology , 2006, Ergonomics.

[9]  Kathryn Mearns,et al.  Safety in shipping: the human element. , 2006, Journal of safety research.

[10]  Roland Billen,et al.  Life and Motion Configurations: A Basis for Spatio-temporal Generalized Reasoning Model , 2008, ER Workshops.

[11]  Axel Hahn,et al.  Assessing the Fitness of Information Supply and Demand during User Interface Design , 2014 .

[12]  Diane M. Strong,et al.  AIMQ: a methodology for information quality assessment , 2002, Inf. Manag..

[13]  E. Hutchins.  Cognition in the wild , 1995 .

[14]  Werner Retschitzegger,et al.  A tour of BeAware - A situation awareness framework for control centers , 2014, Inf. Fusion.

[15]  Suzanne M. Ward.  Books on Demand , 2002 .

[16]  Mica R. Endsley,et al.  Designing for Situation Awareness : An Approach to User-Centered Design , 2003 .

[17]  R. P. Srivastava,et al.  A conceptual framework and belief‐function approach to assessing overall information quality , 2003, Int. J. Intell. Syst..