Operationalising and evaluating sub-optimal and optimal play experiences through challenge-skill manipulation

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Abstract

The study examines the relationship of challenge-skill balance and the player experience through evaluation of competence, autonomy, presence, interest/enjoyment, and positive and negative affect states. To manipulate challengeskill balance, three video game modes - boredom (low challenge), balance (medium challenge), and overload (high challenge) - were developed and experimentally tested (n = 45). The study showed that self-reported positive affect, autonomy, presence, and interest/enjoyment differed between the levels. The balance condition generally performed well in terms of positive player experiences, confirming the key role challenge-skill balance plays in designing for optimal play experiences. Interestingly, the study found significantly lower negative affect scores when playing the boredom condition. Greater feelings of competence were also reported for the boredom condition than the balance and overload conditions. Finally, some measures point to overload as a more enjoyable experience than boredom, suggesting possible player preference for challenge > skill imbalance over skill > challenge imbalance. Implications for design and future research are presented.

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APA

Klarkowski, M., Johnson, D., Wyeth, P., McEwan, M., Phillips, C., & Smith, S. (2016). Operationalising and evaluating sub-optimal and optimal play experiences through challenge-skill manipulation. In Conference on Human Factors in Computing Systems - Proceedings (pp. 5583–5594). Association for Computing Machinery. https://doi.org/10.1145/2858036.2858563

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