Development of Interactive Chatting Game Base on Sentiment Analysis Method

Shinjin Kang, Jin Hyoung Ahn, Hong Min, Sookyun Kim
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Abstract

In online game, storytelling is one of the most important factors that motivates game play. Experience of this narrative is delivered through various storytelling techniques [1]. Recently, there has been a lot of interest in developing embodied conversational agents (ECA) with multimodal interfaces [2]. Among multimodal interfaces, natural language processing is most promising techniques in commercial game development side. Traditionally in game industry, communication between player and virtual agent in game was conducted by selecting player's replay among 2~3 candidate sentences. But recent advances in natural language process enable player's sentence input in interactive drama game [3]. In this paper, we propose interactive chatting game based on sentiment analysis of player's input sentence. In order to understand player's emotions, we construct web-query based sentiment databases, and uses it with similarity ccomparison method. Our result could show that emergent narrative enables re-playable experience with natural language process technique in commercial online game.
基于情感分析方法的交互式聊天游戏开发
在网络游戏中,故事叙述是激励玩家体验游戏的最重要因素之一。这种叙事的体验是通过各种讲故事的技巧来传达的。近年来,人们对开发具有多模态接口的具身会话代理(ECA)产生了浓厚的兴趣。在多模式界面中,自然语言处理是商业游戏开发方面最有前途的技术。在传统的游戏行业中,玩家和虚拟代理之间的交流是通过从2~3个候选句子中选择玩家的重播来进行的。但是最近自然语言处理技术的进步使得玩家在互动戏剧游戏b[3]中的句子输入成为可能。本文提出了一种基于玩家输入句子情感分析的交互式聊天游戏。为了理解玩家的情绪,我们构建了基于web查询的情绪数据库,并将其与相似度比较方法结合使用。我们的研究结果表明,在商业网络游戏中,自然语言处理技术使自然叙事能够实现可重玩体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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