Continuous Interactive Simulation (CIS) maps computational problems concerning the con-trol of dynamical systems to physical tasks in a 3D virtual environment for users to perform. However, deciding on the best mapping for a particular problem is not straightforward. This paper considers how a motor learning perspective can assist when designing such mappings. To examine this issue an experiment was performed to compare an arbitrary mapping with one designed by considering a range of motor learning factors. The particular problem studied was a nonlinear policy setting problem from economics. The results show that choices about how a problem is presented can indeed have a large eﬀect on the ability of users to solve the problem. As a result we recommend the development of guidelines for the application of CIS based on motor learning considerations.
|Number of pages||12|
|Journal||Procedia Computer Science|
|Publication status||Published - 2014|
|Event||14th International Conference on Computational Science (ICCS 2014) - Cairns, Australia, Australia|
Duration: 10 Jun 2014 → 12 Jun 2014