Motor learning in physical interfaces for computational problem solving

Rohan McAdam

    Research output: Contribution to journalArticle

    3 Downloads (Pure)

    Abstract

    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.
    Original languageEnglish
    Pages (from-to)659-671
    Number of pages12
    JournalProcedia Computer Science
    Volume29
    DOIs
    Publication statusPublished - 2014
    Event14th International Conference on Computational Science (ICCS 2014) - Cairns, Australia, Australia
    Duration: 10 Jun 201412 Jun 2014

    Fingerprint Dive into the research topics of 'Motor learning in physical interfaces for computational problem solving'. Together they form a unique fingerprint.

    Cite this