Title

Petalz: Search-Based Procedural Content Generation For The Casual Gamer

Keywords

3-D printing; Collection mechanics; compositional pattern producing networks (CPPNs); procedural content generation

Abstract

The impact of game content on the player experience is potentially more critical in casual games than in competitive games because of the diminished role of strategic or tactical diversions. Interestingly, until now procedural content generation (PCG) has nevertheless been investigated almost exclusively in the context of competitive, skills-based gaming. This paper therefore opens a new direction for PCG by placing it at the center of an entirely casual flower-breeding game platform called Petalz. That way, the behavior of players and their reactions to different game mechanics in a casual environment driven by PCG can be investigated. In particular, players in Petalz can: 1) trade their discoveries in a global marketplace; 2) respond to an incentive system that awards diversity; and 3) generate real-world 3-D replicas of their evolved flowers. With over 1900 registered online users and 38 646 unique evolved flowers, Petalz showcases the potential for PCG to enable these kinds of casual game mechanics, thus paving the way for continued innovation with PCG in casual gaming.

Publication Date

9-1-2016

Publication Title

IEEE Transactions on Computational Intelligence and AI in Games

Volume

8

Issue

3

Number of Pages

244-255

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/TCIAIG.2015.2416206

Socpus ID

84988589032 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84988589032

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