Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
Recent developments in mobile architecture and the need for objective performance
measurement in kayak elite sport coaching induced the opportunity for this study. We
developed an application for smartphones that will help athletes evaluate their perfor-
mance. Several sensors measure forces, acceleration and distance. Data is sent through
a wireless connection and stored in a smartphone. The aim of this study is to evalu-
ate technical possibilities on the smartphone in a coaching environment by comparing
previous system proposals, to evaluate the learning situation when using the device
as technical aid based on learning theories and technical limitations, and to design
visualizations on the mobile device according to technical possibilities and learning
theories. Technical research is used as a framework to compare the proposed system
design to others, in sense of components used and the devices’ technical possibilities.
Feedback-theory is used to explain the learning of motor skills and theory about visual
literacy in the understanding of visualizations. Last cognitive models from Cognitive
Load Theory (CLT), Multimedia Learning (ML) and Human Computer Interaction
(HCI) are presented.
Visualizations on Android smartphones are limited by screen size and navigation
possibilities. The challenge for the athlete and coach is to see patterns in acquired
data and to translate it to manageable exercises suitable for the motor skill domain.
In the motor skill domain it is important for the athlete to understand what behavior,
e.g. what element of a movement to learn or improve. In current system designs the
athlete has to wait a long time between performance and feedback. The athlete has to
remember a long series of movements and match it with measured data, which could
be ineffective according CLT.
The design of feedback will depend on the learning situation, technical possibilities
and the information to process. When the environment is cognitively demanding the
visualization should be easy to understand and the information easy to apprehend.
Complex data could be presented in a graph on the mobile device but a big screen is
recommended for this. The technical possibilities with the Android platform are suffi-
cient for the intended use. Direct feedback in real-time is preferred to post-visualization
in motor skill exercises.
2012. , 46 p.