Can Physical Tools that Adapt their Shape based on a Learner’s Performance Help in Motor Skill Training?
Dishita G Turakhia, Yini Qi, Lotta-Gili Blumberg, Andrew Wong, Stefanie Mueller
Abstract
Adaptive tools that can change their shape to support users with motor tasks have been used in a variety of applications, such as to improve ergonomics and support muscle memory. In this paper, we investigate whether shape-adapting tools can also help in motor skill training. In contrast to static training tools that maintain task difficulty at a fixed level during training, shape-adapting tools can vary task difficulty and thus keep learners’ training at the optimal challenge point, where the task is neither too easy, nor too difficult.
Topics & Concepts
Task (project management)Computer scienceTraining (meteorology)Human–computer interactionVariety (cybernetics)Motor skillPoint (geometry)Contrast (vision)Task analysisArtificial intelligencePsychologyEngineeringPsychiatryPhysicsGeometryMathematicsSystems engineeringMeteorologyTactile and Sensory InteractionsMotor Control and AdaptationRobot Manipulation and Learning