What can you Learn from a Low-Fidelity Prototype?

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Abstract

A case is made for using low-fidelity prototypes early in the design phase of new services. The rationale for this is based upon (1) a model of how user interface designs progress and (2) a call to expediency. The design process is viewed as the successive application of constraints that serve to prune the space of all user interfaces. Some constraints are external (i.e., placed on the service by limits of technology or cost). Other constraints are derived by application of heuristic design principles. Even after these constraints have been applied, the design is still not fully constrained and the designer must make high-level design decisions. At these choice points, I propose that low-fidelity prototyping is an appropriate means of gathering design information as it is an expedient solution and may serve as a method of testing the central tendency of entire classes of user interfaces.

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Optimization by simulated annealing.

S. Kirkpatrick, C D Gelatt, M. P. Vecchi (1983)

There is a deep and useful connection between statistical mechanics (the behavior of systems with many degrees of freedom in thermal equilibrium at a finite temperature) and multivariate or combinatorial optimization (finding the minimum of a given function depending on many parameters). A detailed analogy with annealing in solids provides a framework for optimization of the properties of very large and complex systems. This connection to statistical mechanics exposes new information and provides an unfamiliar perspective on traditional optimization problems and methods.