Julius Schöning and Corinna E. Bonhage
Emotion assessments traditionally take place in
academic or medical settings. The impact of environmental factors such as
e.g. the characteristics of the place, the weather, or the time of day on
the emotional state of inhabitants are often dismissed, thus emotions as a
dynamic feature cannot be used for city planning or development. To
estimate emotions as spatio-temporal data, a growing research community
focused on emotion extraction from social network platforms such as Twitter
or Facebook. The quality and the reliability of the resulting emotion
evaluations are not comparable to direct emotion assessments, e.g. because
of possible biases of emotional statements in social communities. In order
to bridge this gap, we designed a web-based survey service that allows for
the acquisition of geo-located emotion ratings of a huge group of
participants in real-world environments, which in turn can be related to
numerous environmental variables. In this paper, we present the
architecture of this web-based service along with first results of a pilot
study. In the end, we discuss possible use cases for spatio-temporal
emotion data, the limitations of our web-based service, and present an
outlook on possible future projects.
Categories and Subject Descriptors (according to ACM CCS): H.2.8
[Database Management]: Database Applications-Spatial databases and GIS
full paper
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