In this paper we present the approach of interaction scaling. It assists users during their current tasks by adjusting interactivity depending on the user’s distance to large high-resolution displays. The mapping method of interaction scaling combines the calculation of a distance-adjusted mapping factor with a manual/automatic change of precision levels. In our user study we evaluated how different accuracies, user preferences and physical navigation affect the user performance of distance-aware manipulation techniques. We used symmetric/asymmetric bimanual manipulation techniques that were evaluated with interaction scaling and a direct mapping approach. Further, we differentiated between coarse-grained and fine-grained accuracy of manipulation tasks. The study identified that interaction scaling improves user performance for very precise manipulation tasks. The participants were able to manipulate objects more accurately with asymmetric technique than with symmetric technique. Most participants preferred a manual switching; however, the tasks could be solved equally well with automatic switching by half of them.