68,587 research outputs found
Recommended from our members
Adaptation in Digital Games: The Effect of Challenge Adjustment on Player Performance and Experience
Good gaming experiences hinge on players being able to have a balance between challenge and skill. However, achieving that balance is challenging, so dynamic difficulty adjustment offers the opportunity to provide better gaming experiences through adapting the challenge in the game to suit an individual’s capabilities. The risk though is that in adapting the difficulty, players do not get a true sense of challenge, but rather some tailored, perhaps watered down experience. In this note, we report on a study, in which we used time manipulation as a method of simple adaptation in order to explore its effect on player experience (PX) and performance. Volunteers played a game in which the timer was adjusted based on their performance in the game, however they were not aware of the feature. The results showed that players in the experimental group found the game more immersive. This provides empirical support that dynamic difficulty adjustment could be used to improve the PX
Real-time adaptive track generation in racing games
Real-time Adaptive Track Generation in Racing Game
Recommended from our members
Player experience and deceptive expectations of difficulty adaptation in digital games
Increasingly, digital games are including adaptive features that adjust the level of difficulty to match the skills of individual players. The intention is to improve and prolong the player experience by allowing the player to have the feeling of challenge without it being overwhelming and leading to repeated failure and frustration. Previous work has shown that player experience is indeed improved by such adaptations but also that the player experience can be improved by simply claiming such an adaptation is present even when it is not. It is therefore possible that claims about adaptations and the actual adaptations could interact and not lead to the intended outcomes for the players or worse disappoint players. This paper reports on two studies that were conducted to experimentally investigate the interaction between game adaptations and player information about adaptations on the player experience, specifically their sense of immersion in the game. For this, two games were developed using two different kinds of adaptations to adjust difficulty based on players’ performance in the game. Participants were provided with information about game adaptations independently of whether the adaptations were present. The results suggest that players felt more immersed in the game when told that the game adapts to them, regardless of whether the adaptation was present in the game or not. This effect was observed in both games despite their different adaptations and it remained prominent even during longer gaming sessions. These findings demonstrate that players’ knowledge of adaptations influences their experience independently of adaptations. In this particular context, the knowledge reinforced the experience of the adaptations. This suggests that, at least in some circumstances, developers do not need to be concerned about negative effects of telling players about in-game adaptations
A Behavioral Approach to Learning in Economics - Towards an Economic Theory of Contingent Learning
In economics, adjustment of behavior has traditionally been treated as a "black box." Recent approaches that focus on learning behavior try to model, test, and simulate specific adjustment mechanisms in specific environments (mostly in games). Results often critically depend on distinctive assumptions, and are not easy to generalize. This paper proposes a different approach that aims to allow for more general conclusions in a methodologically more compatible way. It is argued that the introduction of the main determinants of learning behavior as situational restrictions into the standard economic model may be a fruitful way to capture some important aspects of human behavior that have often been omitted in economic theory. Based on a simple model of learning behavior (learning loop), robust findings from psychology are used to explain behavior adjustment, and to identify its determinants (contingent learning). An integrative methodology is proposed where the "black box" is not opened, but instead the factors that determine what happens inside, and the limits imposed by theses factors can be analyzed and used for model building. The paper concludes with testable hypotheses about learning behavior in the context of economics.microeconomics, game theory, learning theory, experiments
- …