Abstract
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.
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.
| Originalsprog | Engelsk |
|---|---|
| Titel | GECCO '18 Proceedings of the Genetic and Evolutionary Computation Conference Companion |
| Udgivelsessted | New York, NY, USA |
| Forlag | Association for Computing Machinery |
| Publikationsdato | 2018 |
| Sider | 131-132 |
| ISBN (Elektronisk) | 978-1-4503-5764-7 |
| DOI | |
| Status | Udgivet - 2018 |