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The concept of Player Adaptive Entertainment Computing (PAEC) is introduced to provide personalized experiences when interacting with the entertainment media. Two of the important areas in PAEC are to create specific targeted strategies to cater for individual user, and to perform personalization. To accomplish this, a suitable mechanism to model user experience is required. This is explored in a case study using neuro linguistic programming (NLP) that models the NLP spatial anchors of experiences of a sample group of users during game play. These NLP anchors are reconstructed during game play of a second group of users allowing them to experience the same level satisfaction as the first sample group.