Design facial appearance for roles in video games

Authors:
Shang Hwa Hsu;Ching-Han Kao;Muh-Cherng Wu
Affiliations:
Department of Industrial Engineering and Management, National Chiao Tung University, 1001 Ta Hsueh Road, HsinChu 30010, Taiwan, ROC;Department of Industrial Engineering and Management, National Chiao Tung University, 1001 Ta Hsueh Road, HsinChu 30010, Taiwan, ROC;Department of Industrial Engineering and Management, National Chiao Tung University, 1001 Ta Hsueh Road, HsinChu 30010, Taiwan, ROC
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

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Abstract

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.