Evaluative Method of Oppositional NPC's Strength in Games

• Main Authors: Tsai, Shin-Bei, 蔡欣蓓
• Other Authors: Sun, Chuen-Tsai
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/cz4xkr

碩士 === 國立交通大學 === 資訊學院資訊學程 === 105 === The monsters influence the player's sentiment in the games which has oppositional NPC (monsters). When monsters are stronger than players, players will feel frustrations. When monsters are weaker than players, players will feel boring. If game designers balanced oppositional NPC's strength in the games, players will balance thier skills and challenges, players will in flow. The player is aware of his action and feels pleasure in flow. When the player has flow experience in the game, he will play the same game next time. Therefore balanced oppositional NPC's strength is important research. Game designers spend a lot of time and effort to evaluative monsters's strength. Game designers just for players have good game experiences. Hence my research provides evaluative method of oppositional NPC's strength in games. My research comprehensive collected monsters's parameters in games. Then the formula derived from parameters. Using least squares method of multiple regression and ridge regression to get coefficient predictably. Finally my research products system of evaluate oppositional NPC's strength. The method of evaluate oppositional NPC's strength can help game designers to adjust oppositional NPC's strength quickly. My research digitizes evaluative method of oppositional NPC's strength in games. Game designers use experience and sensation to adjust oppositional NPC's strength. Freshman of game designers don't have a lot of experiences to know how to adjust.Digitized evaluative methods can help freshmen of game designers to finish their work. My research can balance evaluative parameters. Avoid one Parameter to decide oppositional NPC's strength. My research's methods can use in a lot of games which has monsters. Not only Mabinogi but also other games can use the methods. My research uses an experiment to verify the methods work well. Because my experiment misses data that level of skill and players battled with monsters, my research does the basic experiment. The basic experiment doesn't effect research method's verification, because my research methods design flexibility. For different games's demand, users can add or delete formula's parameters freely. My experiment proposes a hypothesis. The hypothesis is the game doesn't have level of skill, attribute of complementary and opposing effects, and monsters don't effect by players.