Model-based design of user interfaces to support situation awareness in maintenance
Fecha
2016-12-13Autor
Oliveira, Állan César Moreira de
Metadatos
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Situation Awareness (SAW) is a cognitive process defined as the perception of elements and
events within a time frame, the understanding of their situation and the projection of their
status. SAW is a prerequisite for decision-making in dynamic and complex systems and errors
in SAW are an acknowledged source of human errors and accidents. Its study is pivotal in
many industries, such as aviation, military, oil, gas and rails, and it is being increasingly
considered for maintenance, since this activity is deemed critical for every industry. New
technologies to support maintenance, such as E-Maintenance, will provide easier access to the
desired information to technicians, but the way new technologies lead to improved SAW is
influenced by how information is presented in the User Interface (UI), and many UIs for
maintenance technicians support their decision-making regarding procedural and technical
criteria, but not economical, legal, ethical and political. Therefore, they only allow a partial
development of the user SAW, but not the complete comprehension and projection of a
situation. These UIs ignore information requirements such as: risks and conditions of the
environment; automations; actions and decisions of team members; rules, regulations and
policies of enterprises. Therefore, the design and development of UIs to improve SAW in
maintenance is compromised by the few solutions in the state of the art for SAW supportive
UI design, for model-based design process and for frameworks and reference architectures.
Cognizant to this gap, this thesis proposes a solution for the design and development of
Situation Awareness support User Interfaces (SASUI) for maintenance work. For that three
contributions are proposed: a conceptual framework of Situation Awareness Aspects (FSA)
that assists developers in structuring heterogeneous sources of data into a knowledge
representation model, to obtain a state oriented view of SAW; a multiagent architecture that
instantiates and controls UIs to improve their support of SAW, by using a blend of SAW and
UI agents to express the situation (and its projection) of real world entities in the UI; a
methodology to create Model-based SAW User Interfaces (MBSAW-UI), in which designers
model agents that will assist users in acquiring the SAW necessary for their decision-making
process. These contributions follow a Cognitive Engineering approach to guide software
developers in the UI design process and also empower domain experts to model their UIs,
enabling an End-User Development (EUD) paradigm that facilitate future updates to the
system. A study case of a maintenance activity was developed to evaluate these solutions,
with two interfaces: a UI designed using MBSAW-UI; a UI designed using solely a
Hierarchical Task Analysis. An experiment was performed and showed a 78% increase in
SAW with the UI designed to support SAW, which lead to enhanced efficacy (3,85x less
errors) and safety (3,87x less errors regarding unsafe behavior).
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