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different types of feedback. For this analysis, it is
important to consider several types of motions and
exercises and compare respective acceptance values.
To do so, the integration of an automatic determina-
tion of appropriate projection parameters is required.
Two of the proposed general feedback types (ab-
stracted visualization and abstracted audiolization)
were addressed in our prototype system. Additional-
ly, first analogue approaches by using an augmented
reality scenario should be anticipated. A last im-
portant research area to be worked on is the effect of
using sounds and changing its parameters for motion
error feedback.
5 DISCUSSION
This paper analyzed different ways to provide mo-
tion error feedback, a very specific aspect within the
development of an automatic motion coaching sys-
tem. This divide-and-conquer approach allowed us
to focus on feedback techniques itself without strug-
gling too much with implementation details that are
not directly relevant at this point. It is expect that the
results from this first prototype can be used for an
initial evaluation that may allow to exclude several
feedback possibilities or reveal the need for analyz-
ing others in more detail. However, technology ac-
ceptance is a quite complex phenomenon (Ziefle et
al., 2011) and the success of a motion coaching
system does not only depend on the visualization
alone. Consequently, final statements are only pos-
sible when a complete system has been developed
and tested in detail. The development of such a sys-
tem requires an interdisciplinary approach with
scientific contributions from the fields of machine
learning, computer vision, human-computer interac-
tion and psychology.
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