Trust in automated maritime situational awareness systems with application to AIS


  1. Isenor, A.W.
  2. Lapinski, A-L.S.
  3. MacInnis, A.
Corporate Authors
Defence R&D Canada - Atlantic, Dartmouth NS (CAN)
Achieving trusted situational awareness is recognized as an important outcome in the Canadian Defence Science and Technology Strategy. In Canada’s multi-jurisdictional maritime domain, situational awareness will be most efficiently achieved through the collaboration and cooperation of multiple government departments. To achieve trusted situational awareness in a multi-departmental environment, an understanding of trust is required. This paper identifies the components of trust based on a literature review on the topic. The identified components are: predictability, dependability, faith, reliability, robustness, familiarity, understandability, explication of intention, usefulness, competence, self-confidence, and reputation. The identified trust components are then related to the components of a computerized system containing a data source, data, the delivery of the data to another system, and the processing of these data. The Automated Identification System (AIS) is then used as an example relating the trust component to the system component. Collected AIS data are known to contain many timing errors. The impact of these erroneous time data on the trust components is assessed. Results indicate that errors in the time data have greatest impact on our trust in the source that provides the data.

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Report Number
DRDC-ATLANTIC-TM-2011-279 — Technical Memorandum
Date of publication
01 Feb 2012
Number of Pages
Electronic Document(PDF)

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