  Problem solvers often need to choose between adapting a current solution and
exchanging it for a new one. How do such decisions depend on structural and
surface features of the task? The present study investigated the interplay
between the costs of the two solutions (a structural feature) and the format in
which this information was presented (a surface feature). In a computer-based
modular plant scenario, participants chose between process parameter
modifications (Adapt) and reconfigurations of the module setup (Exchange).
Solution costs were presented either as graphs depicting parameter relations,
separate numbers for each parameter, or integrated numbers for each solution.
It was hypothesised that graphs induce satisficing (i.e., basing decisions only
on Adapt), whereas the numeric formats foster a comparison of the solutions
(i.e., basing decisions on the Adapt/Exchange ratio). The hypothesised effects
were restricted to situations with medium Adapt costs. A second experiment
replicated these findings while adjusting the scale of numeric formats. We
conclude that Adapt/Exchange decisions are shaped by an interaction of
structural and surface features.
