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首页> 外文期刊>Computational Intelligence and AI in Games, IEEE Transactions on >An Analytic and Psychometric Evaluation of Dynamic Game Adaption for Increasing Session-Level Retention in Casual Games
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An Analytic and Psychometric Evaluation of Dynamic Game Adaption for Increasing Session-Level Retention in Casual Games

机译：动态游戏适应性提高休闲游戏会话级别保留的分析和心理测评

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摘要

This paper shows how game analytics can be used to dynamically adapt casual game environments in order to increase session-level retention. Our technique involves using game analytics to create an abstracted game analytic space to make the problem tractable. We then model player retention in this space and use these models to make guided changes to game analytics in order to bring about a targeted distribution of game states that will, in turn, influence player behavior. Experiments performed showed that the adaptive versions of two different casual games, Scrabblesque and Sidequest: The Game, were able to better fit a target distribution of game states while also significantly reducing the quitting rate compared to the nonadaptive version of the games. We showed that these gains were not coming at the cost of player experience by performing a psychometric evaluation in which we measured player intrinsic motivation and engagement with the game environments. In both cases, we showed that players playing the adaptive version of the games reported higher intrinsic motivation and engagement scores than players playing the nonadaptive version of the games.
机译：本文展示了如何使用游戏分析来动态适应休闲游戏环境，以增加会话级别的保留率。我们的技术涉及使用游戏分析来创建抽象的游戏分析空间，以使问题易于解决。然后，我们对在此空间中的玩家保留率进行建模，并使用这些模型对游戏分析进行有指导的更改，以实现有针对性的游戏状态分布，进而影响玩家的行为。进行的实验表明，与非自适应版本的游戏相比，两种不同休闲游戏的自适应版本（Scrabblesque和Sidequest：The Game）能够更好地适应游戏状态的目标分布，同时还大大降低了退出率。通过执行心理测评评估，我们测量了玩家的内在动力和对游戏环境的参与度，从而证明这些收益并不是以牺牲玩家体验为代价的。在这两种情况下，我们都显示玩自适应版本游戏的玩家比玩非自适应版本游戏的内在动机和参与度得分更高。

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