Towards an experiment on perception of affective music generation using MetaCompose

MetaCompose is a music generator based on a hybrid evolutionary
technique combining FI-2POP and multi-objective optimization. In
this paper we employ the MetaCompose music generator to create
music in real-time that expresses different mood-states in a gameplaying environment (Checkers) and present preliminary results of
an experiment focusing on determining (i) if differences in player
experience can be observed when using affective-dynamic music
compared to static music; and (ii) if any difference is observed when
the music supports the game’s internal narrative/state. Participants
were tasked to play two games of Checkers while listening to two
(out of three) different set-ups of game-related generated music.
The possible set-ups were: static expression, consistent affective
expression, and random affective expression.