xTalk: Adaptive Learning of Motor Skills by Varying Task Difficulty, Nov. 7, 2019 | MIT J-WEL

xTalk: Adaptive Learning of Motor Skills by Varying Task Difficulty, Nov. 7, 2019

xTalks - Adaptive Learning of Motor Skills by Varying Task Difficulty

Nov. 7, 2019

3:00- 4:00 p.m.

Room 3-270 (MIT Campus)
 

Description

Professor Stefanie Mueller will demonstrate how to design and fabricate physically adaptive interfaces for learning motor skills. These interfaces automatically vary the difficulty of the task being learned through shape adaptation. The main benefit of adaptive training aids is that they allow learners to train at their optimal challenge level that has high learning potential. User studies show statistically significant learning gain in auto-adaptive condition compared to static and manually-adaptive conditions.

Mueller and her team also built a user interface to deploy the auto-adaptation algorithm for the learning tool. Their prototypes demonstrate the applicability of their approach across a variety of domains such as life skills (biking), sports (basketball, golf), and physiotherapy (wobble board). More Info.

 

 

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