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The Journal of the Korea Contents Association
Article . 2011 . Peer-reviewed
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Improving Game Character Design Identity : Focus on Game Character Design Method through Semiotic Analysis

게임 캐릭터의 아이덴티티 개선방안 : 게임 캐릭터 제작방식의 기호학적 분석 중심으로
Authors: Je Lee; Byung-Pyo Kyung; Seuc-Ho Ryu; Wan-Bok Lee;

Improving Game Character Design Identity : Focus on Game Character Design Method through Semiotic Analysis

Abstract

This paper proposed an efficient game character design method through semiotic analysis of character. It inquired into the characteristics of game character of various contents characters, added the concept of "Iconic abstraction" of Scott McCloud to its characteristics, and studied on the relation between the character and the semiotics. The semiotic character from the factual character, seized the strong and weak point of each character, and divided them in the designer`s character production process and gamer`s character recognition process step by step for its semiotic interpretation. As a result, two processes were reversely progressed, and the character designing process considering this gamer`s semiotic recognition process is expected to be the efficient character design element that can deliver the whole characteristics of game contents.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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