Citation
Yannakakis, Georgios N., and John Hallam. “Entertainment modeling through physiology in physical play.” International Journal of Human-Computer Studies 66.10 (2008): 741-755.
Introduction
The goal of this paper was to provide an entertainment children-user model which predicts fun when children play a physical game. This entertainment model would predict the fun, by analyzing physiological measures.
They had two challenges to overcome for creating this model. The first challenge was how can we create this model, I mean using which existing technique? And the second challenge was how can we eliminate the impact of physical activities from captured physiological measures (I mean a physical activity and a physical game have some common features that are noises in prediction model)?
To producing this model, the authors designed two experiments, and used some feature selection algorithms and classification mechanisms. In the other words, they used and compared two feature extraction algorithms and three classification algorithms.
At the end, an entertainment model generates a number y that shows how much “fun” is it. For example in comparison of two games, the more fun game gets the higher value.
Main Experiment (the first experiment)
Seventy two normal-weighted children whose ages cover a range between 8 and 10 years participated in the main experiment. They played Bug-Smasher in nine variants on the Playware playground. The description of Bug-Smasher game is as follows:
The “Bug-Smasher” game is used as Continue reading
