Towards Generic Models of Player Experience
Towards Generic Models of Player Experience
复制标题
走向玩家体验的通用模型
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Mohamed Abou
中科院分区：
文献类型：
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作者：
Noor Shaker;M. Shaker;Mohamed Abou
上下文个性化是一个蓬勃发展的研究领域，有许多应用。上下文个性化系统通常使用用户模型来预测上下文对给定交互历史的特定用户的吸引力。使用的大多数模型都是上下文相关的，它们的适用性通常仅限于用于模型构建的系统和数据。在保持用户体验性能的同时，建立高度可扩展的用户体验模型是一个重要的研究方向。在本文中，我们提出了计算机游戏领域用户体验的通用模型。我们使用了从玩家与两款不同类型游戏的互动中收集的两个数据集，这些数据集之前构建了准确的玩家体验模型。我们通过研究在两个数据集上进行泛化的建模机制能力，进一步采用了该方法。我们进一步研究玩家行为的一般特征是否可以被定义并用于提高建模性能。在两个实验中获得的准确性表明了所提出的方法的前景，并表明可以建立与游戏无关的玩家体验模型。
Context personalisation is a flourishing area of research with many applications. Context personalisation systems usually employ a user model to predict the appeal of the context to a particular user given a history of interactions. Most of the models used are context-dependent and their applicability is usually limited to the system and the data used for model construction. Establishing models of user experience that are highly scalable while maintaing the performance constitutes an important research direction. In this paper, we propose generic models of user experience in the computer games domain. We employ two datasets collected from players interactions with two games from different genres where accurate models of players experience were previously built. We take the approach one step further by investigating the modelling mechanism ability to generalise over the two datasets. We further examine whether generic features of player behaviour can be defined and used to boost the modelling performance. The accuracies obtained in both experiments indicate a promise for the proposed approach and suggest that game-independent player experience models can be built.