  Wireless Smart Sensors (WSS) process field data and inform structural
engineers and owners about the infrastructure health and safety. In bridge
engineering, inspectors make decisions using objective data from each bridge.
They decide about repairs and replacements and prioritize the maintenance of
certain structure elements on the basis of changes in displacements under
loads. However, access to displacement information in the field and in
real-time remains a challenge. Displacement data provided by WSS in the field
undergoes additional processing and is seen at a different location by an
inspector and a sensor specialist. When the data is shared and streamed to the
field inspector, there is a inter-dependence between inspectors, sensor
specialists, and infrastructure owners, which limits the actionability of the
data related to the bridge condition. If inspectors were able to see structural
displacements in real-time at the locations of interest, they could conduct
additional observations, which would create a new, information-based,
decision-making reality in the field. This paper develops a new, human-centered
interface that provides inspectors with real-time access to actionable
structural data (real-time displacements under loads) during inspection and
monitoring enhanced by Augmented Reality (AR). It summarizes the development
and validation of the new human-infrastructure interface and evaluates its
efficiency through laboratory experiments. The experiments demonstrate that the
interface accurately estimates dynamic displacements in comparison with the
laser. Using this new AR interface tool, inspectors can observe and compare
displacement data, share it across space and time, and visualize displacements
in time history.
