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Emotions play an important role in human interaction
with humans and
machines. Machines are not yet able to measure these
and to interact
with their users on an emotional level. The concept
of affective
computing seeks to change this as it would result in
more enjoyable
work with higher productivity and higher quality
outcome. Different
methods for emotion measurement have been developed,
subjective
and objective measures alike. This novel approach
tries to connect
closer to the user by using the direct interaction of
the mouse that at
the same time does not impede the user with its
measurement
mechanism. This work introduces the estimation of
emotions by
measuring minute motions in the user''s mouse
movements. It
highlights the design and evaluation of a system that
is capable of
distinguishing user arousal levels and also provides
an introduction to
the field of affective computing.
with humans and
machines. Machines are not yet able to measure these
and to interact
with their users on an emotional level. The concept
of affective
computing seeks to change this as it would result in
more enjoyable
work with higher productivity and higher quality
outcome. Different
methods for emotion measurement have been developed,
subjective
and objective measures alike. This novel approach
tries to connect
closer to the user by using the direct interaction of
the mouse that at
the same time does not impede the user with its
measurement
mechanism. This work introduces the estimation of
emotions by
measuring minute motions in the user''s mouse
movements. It
highlights the design and evaluation of a system that
is capable of
distinguishing user arousal levels and also provides
an introduction to
the field of affective computing.