| dc.description.abstract | Human-Computer Interaction systems are rapidly changing. In such interactions, human
performance might be essential for the system to function in the best possible way. Thus
the need to optimize for interaction design that take human emotion in to account are advancing. Great challenges are involved in capturing emotions, for instance that human
emotion are complex, and difficult to quantify. In this thesis theory about body language
and emotions are adapted in an attempt to introduce a new tool for Affective Engineering.
This is done through developing a pilot chair sensor setup and test its capabilities towards
capturing emotional states. A pilot experiment setup is used to test association between
posture sensed by the chair and level of mental activation or arousal. Statistical analyzes
on the data recorded is done to compare established measures of arousal with posture data
from the chair. The analyzes show some tendencies toward association between movement
and arousal, but more comprehensive analyzes are needed to introduce the setup as a new
tool for affective research. The main take away from this thesis would be the experimental
framework that was developed, which with small modification can be used for testing tools
to be used in interaction studies.
Keywords: Affective Engineering, Arousal, Body Language, Emotions, Interaction Studies,
Unembedded Sensing | |
