This manuscript presents a systematic approach for developing new measurements and evaluation techniques through
modeling and simulation. A proposed sequence of steps is outlined, starting with defining the desired measurable(s), going
through model development and exploration, conducting experiments, and publishing results. This framework, based on
the scientific method, provides a structured process for creating robust, well-defined measurement procedures before
experiments are performed. The approach is demonstrated through a case study on measuring camera-to-display system
latency. A simulation tool is described that enables exploration of how different experimental parameters like camera
temporal response, display properties, and source characteristics impact the measurement and associated uncertainties.
Several examples illustrate using the tool to establish notional guidelines for optimizing the experimental design. The
simulation-driven process aims to increase confidence in new measurement techniques by incrementally refining models,
identifying assumptions, and evaluating potential error sources prior to costly physical implementation. In support of the
reproducible research effort, the tools developed for this effort are available on the MathWorks file exchange.
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