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Game Experience We notice a significant interest in the concept of game experience in the study of digital games. These studies display a broad spectrum of research objectives ranging from constructing a scale to measure game experiences (IJsselsteijn, de Kort, Poels, Jurgelionis, & Bellotti, 2007) to defining and uncovering different dimensions and determinants of enjoyment (Klimmt, 2003; Sweetser & Wyeth, 2005). Other scholars have investigated how different aspects related to playing games might affect the game experience. For instance, the relation between game experience and the social context (De Kort & IJsselsteijn, 2008; Gajadhar, de Kort, & IJsselsteijn, 2008a, Mäyrä, 2007), the effect of performance on enjoyment (Klimmt, Blake, Hefner, Vorderer, & Roth, 2009; Trepte & Reinecke, 2011) or the relation between identification and game experience (Hefner, Klimmt, & Vorderer, 2007; Klimmt, Hefner, & Vorderer, 2009). Despite the complex nature of experiences most of the aforementioned studies converge on game experience as that which evokes or inhibits enjoyment when playing games. A regularly used concept for explaining what makes an activity enjoyable is ‘flow’. Flow refers to an intrinsically motivating experience stemming from an activity in which one is fully absorbed (Csikszentmihalyi, 1990). Such an activity is characterized by a balance between challenge and skill, the merging of action and awareness, clear goals and feedback, concentration on the task at hand, control, a loss of self-consciousness and the transformation of time. As noted by Sweetser and Wyeth (2005) these elements strikingly fit the activity of playing digital games. Thus, it is not surprising that flow or flow-related elements have been used regularly to analyze game experience. While flow elements are recurring concepts in experience research, academic inquiry on the topic is not limited to these experiences. Klimmt et al. (2007) explored the effect of control and effectance on enjoyment and found effectance to be an important underlying factor in evoking game enjoyment. Combining flow theory with the technology acceptance model, Holsapple and Wu (2006) explored the antecedents and effects of flow in online gaming. Nacke and Lindley (2008) measured how adjusting the difficulty of a level in Half-life 2 (Valve Corporation, 2004) influenced several experience dimensions and found that challenge and tension differed significantly between sessions. Using the same Game Experience Questionnaire (2010) explored how the game experience of a serious game differed during subsequent design stages and found significant differences for challenge and competence.