Embedded questionnaires for adaptive games

越来越多的游戏开始适应玩家：如果玩家在挣扎，就降低难度；如果玩家表现良好，就增加难度。这些适应性游戏需要衡量玩家体验，这通常是通过推断从游戏玩法中收集的数据来完成的，对玩家体验的直接实时测量仅限于实验室。这代表了当前影响驱动的动态难度调整系统的一个关键弱点：无法直接根据玩家的状态进行调整。嵌入式问卷提供了一个解决方案：通过利用各种各样的玩家体验问卷，我们可以开发出一种方法，将这些问卷嵌入游戏中，然后直接利用玩家的情绪状态来调整游戏。

A growing number of games adapt to the player: reducing their difficulty if the player is struggling or increasing it if they are doing well. These adaptive games require a measurement of the player experience which is typically done by inferring from data gathered from gameplay, with direct real time measurement of player experience limited to the laboratory. This represents a key weakness of current affect driven dynamic difficulty adjustment systems: the inability to adapt directly based on the player's state. Embedded questionnaires present a solution to this: by leveraging the wide variety of player experience questionnaires it is possible to develop a method by which these can be embedded into games to then directly use the players emotional state to adapt the game.