基于模糊智能奖励的严肃游戏活动设计

Hanny Haryanto, Umi Rosyidah, Acun Kardianawati, E. Z. Astuti, Erlin Dolphina, Ronny Haryanto
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引用次数: 0

摘要

目的:严肃游戏被广泛认为是一种潜在的学习工具,因为它的主要优势是提供有趣的学习体验。这种体验主要由游戏内活动提供支持,其中反馈以奖励的形式提供。然而,由于各种因素,奖励往往不能很好地发挥作用,例如,奖励总是相同的,所以它们是单调的。我们使用欣赏学习作为活动设计的基本概念,并使用模糊逻辑来创建奖励行为,称为模糊智能奖励。方法:运用欣赏学习作为活动设计的基本概念,运用模糊逻辑创造奖励行为。欣赏学习活动包括发现、梦想、设计和命运。我们为这些活动提出了基于模糊的智能奖励。智能奖励将玩家在每个活动中的成就作为模糊推理系统的输入,并给出动态奖励作为输出。结果:开发出一个游戏原型作为测试对象。结果表明,智能奖励可以根据博弈条件和玩家表现动态调整奖励。使用游戏体验问卷进行的测试得到了3.3分(满分4分)。新颖性:结构化奖励系统中关于动态奖励的研究并不多;大多数研究将动态奖励从奖励系统中移除。在我们的研究中,“智能奖励”是一个结构化奖励系统中的动态奖励,它是使用人工智能创建的,基于欣赏学习的活动。在结构化奖励行为中使用模糊逻辑也是非常罕见的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy Smart Reward for Serious Game Activity Design
Purpose:  Serious game has been widely considered to be a potential learning tool, due to its main advantage to provide a fun experience in learning. The experience is supported mainly by in-game activities, where feedback is given in the form of rewards. However, rewards often don't work well due to various factors, for example, rewards are always the same, so they are monotonous. We use Appreciative Learning as underlying concept for activity design and fuzzy logic to create the reward behavior, called Fuzzy Smart Reward.Methods: We use Appreciative Learning as underlying concept for activity design and fuzzy logic to create the reward behavior. Appreciative Learning activities consists of Discovery, Dream, Design and Destiny. We propose fuzzy-based smart reward for those activities. The smart reward takes player achievement in each activity as input for the fuzzy inference system and give the dynamic reward as output.Result: A game prototype is developed as a test subject. The result shows that the smart reward could dynamically adjust the reward based on game conditions and player performance. Test conducted using Game Experience Questionnaire get the score 3.3 out of 4.Novelty:  There aren't many studies on dynamic rewards in structured reward systems; the majority of studies remove dynamic rewards from reward systems. In our research, a "smart reward" is a dynamic reward in a structured reward system that is created using artificial intelligence and is based on activities for appreciative learning. The use of Fuzzy Logic for structured reward behavior is also very rare. 
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