標題: Design facial appearance for roles in video games
作者: Hsu, Shang Hwa
Kao, Ching-Han
Wu, Muh-Cherng
工業工程與管理學系
Department of Industrial Engineering and Management
關鍵字: Video game;Role;Fuzzy AHP;BP neural network
公開日期: 1-Apr-2009
摘要: Roles in video games often serve as avatars of players. Different game players may have their particular preferences on a role's facial appearance. it would be desirable to allow players to customize the design of roles. This paper presents two methods for recommending a roles' facial appearance for a particular game player and illustrates the two methods by using heroic roles as an example. The two recommendation methods are designated as the text-input and the picture-input approaches. The text-input approach requests the game player to carry out pairwise comparisons for determining the relative weights of 16 personality traits of heroes. The recommendation mechanism for the text-input approach is based on the fuzzy AHP (analytic hierarchy process). Whereas the picture-input approach requests the game player to view a sample set of pictures and rate his/her preferences on each picture. The recommendation mechanism for the picture-input approach is based on the BP (back-propagation) neural network. Experiments indicated that the text-input approach is more effective in terms of recommending an appropriate facial appearance, yet at the expense of needing more user time. (C) 2008 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.eswa.2008.05.049
http://hdl.handle.net/11536/7409
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2008.05.049
期刊: EXPERT SYSTEMS WITH APPLICATIONS
Volume: 36
Issue: 3
起始頁: 4929
結束頁: 4934
Appears in Collections:Articles


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