In this research, we aim to create a computer player that gives fun to the opponent. Research on game AI has spread widely in recent years, and many games are being studied. Some of those studies have made remarkable results. Game research is aimed at strengthening computer players. However, it is unknown whether a computer player who is too strong is good. There may also be opponents who think that a computer player is not interesting if it is too strong. Therefore, we thought whether we could create a computer player who entertains the opponent while maintaining a certain degree of strength. To realize this idea, we use the Monte Carlo Tree Search. We tried to create a computer player that gives fun to the opponent by improving the Monte Carlo Tree Search. As a result of some experiments, we succeeded in giving fun, although it was a first step. On the other hand, many problems were found through experiments. In future, it is necessary to solve these problems. Communications recruitment of experimenters and adjustment of algorithms are required. Furthermore, it is necessary to increase the number of experiments. After that, a detailed analysis is carried out and the computer player is evaluated.
In this study, we conduct research to estimate the elements of fun in card games. Previously, we tried to estimate the elements of fun by conducting a questionnaire to players, but the results were not good. Therefore, we propose an analysis using the player's biological information to make a more accurate estimation. Specifically, we try to elucidate the elements of fun by having a player who is playing a game wear a smart watch, and measuring and analyzing the heart rate of that player. This paper conducts an experiment to determine whether our intended data can be collected. As a result, it was found that there is a response to the heart rate in a specific scene, and there is a possibility that the intended data can be collected. We plan to conduct larger experiments in the future.
In recent years, research on game AI has expanded, and now it has become possible to construct even AI of complex games. In accordance with this trend, we constructed the AI of the Hanafuda with a certain degree of complexity. Because of applying the method used in other games to the ball game, we could create a computer player with a certain strength. However, some players feel that strong players are not fun. Therefore, we tried to build a computer player that feels interesting. In the previous experiments, the evaluation for the constructed player was not good. In this research, we conducted a questionnaire survey on players of Hanafuda to raise the evaluation of computer players. The result proved that there are some elements of fun in common among the players.
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