  How can we model affect in a general fashion, across dissimilar tasks, and to
which degree are such general representations of affect even possible? To
address such questions and enable research towards general affective computing
this paper introduces the Affect Game AnnotatIoN (AGAIN) dataset. AGAIN is a
large-scale affective corpus that features over 1,100 in-game videos (with
corresponding gameplay data) from nine different games, which are annotated for
arousal from 124 participants in a first-person continuous fashion. Even though
AGAIN is created for the purpose of investigating the generality of affective
computing across dissimilar tasks, affect modelling can be studied within each
of its 9 specific interactive games. To the best of our knowledge AGAIN is the
largest - over 37 hours of annotated video and game logs - and the most diverse
publicly available affective dataset based on games as interactive affect
elicitors.
