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An Analysis of Player Strategies and Performance in Audio Puzzles

机译:音频谜题中的玩家策略和表现分析

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This paper presents the design of a puzzle game for the Android platform also shows a study on puzzle solving strategies across different interaction modalities and showcases a player performance analysis in each identified strategy. Solving puzzles is among the oldest challenges and entertainment activities available to us. However, despite major technological advances, the design of such games has never provided individuals with challenges beyond visual puzzles. We capitalized on this opportunity to tackle the design of puzzles which go beyond visual cues, utilizing sound and vibration feedback as well to offer a fresh challenge to players. Along with the design of this game, our research focused on analyzing puzzle solving strategies applied by users. In particular, this paper details a study in which we analyzed if players apply the same strategy to solve a visual and a audio puzzle. Complementing the strategies analysis on the audio mode, we also present a comparative analysis regarding performance metrics such as completion time, number of moves for completion and the attained score. Results point that players often opt to solve prominent areas first, leaving more abstract zones to the end, independently from the interaction modality involved. Performance analysis tells us that there are suitable strategies to maximize different performance metrics.
机译:本文介绍了适用于Android平台的益智游戏的设计,还展示了对跨不同交互方式的益智解决策略的研究,并展示了每种已识别策略中的玩家表现分析。解决难题是我们现有的最古老的挑战和娱乐活动之一。但是,尽管技术取得了重大进步,但此类游戏的设计从未给个人带来视觉难题之外的挑战。我们利用这一机会解决了视觉提示之外的难题设计,并利用声音和振动反馈为玩家提供了新的挑战。除了这款游戏的设计外,我们的研究重点还在于分析用户应用的难题解决策略。特别是,本文详细介绍了一项研究,在该研究中,我们分析了玩家是否采用相同的策略来解决视觉和听觉难题。作为对音频模式策略分析的补充,我们还提供了有关性能指标的比较分析,例如完成时间,完成动作数和得分。结果表明,玩家通常会选择首先解决突出区域,而将更多抽象区域留在最后,而与所涉及的交互方式无关。绩效分析告诉我们,有合适的策略可以最大化不同的绩效指标。

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