隨遊戲設計產業的蓬勃發展，遊戲設計使用人工智慧的方法，可以更有效的製作出符合玩家喜好的遊戲。音樂的設計對於玩家來說絕對扮演重要的角色，一款遊戲，其聲音部分的設計影響力可以讓玩家融入並沉浸於遊戲角色與情境當中。本研究以因素分析挑選出代表性形容詞來描述玩家情感反應，作為初步了解八位元遊戲音樂與情感反應的關聯性。首先挑選出100 首遊戲音樂，接著以五種情境做為分類依據將遊戲音樂做出初步的分類，分別是：(1)地區性遊戲音樂、(2)緊張遊戲音樂、(3)輕鬆遊戲音樂、(4)激動遊戲音樂以及(5)奇幻遊戲音樂等五種，並從100 首樣本中挑選出較具代表性的情境音樂，每種情境三首共十五首。第二步進行問卷實驗，先收集單一形容詞做為初始的情感反應尺度，讓受測者評估這一系列的十五首遊戲音樂，最後，利用因素分析針對受測者的情感反應挑選出具代表性的形容詞。本研究最後所挑選出之情感形容詞為：冰冷的、幽默的、奇異的以及平靜的，此四個形容詞將可作為後續遊戲音樂與情感反應相關研究之初始情感尺度參考指標。

As the game design industry develops, the use of artificial intelligence has enabled the production of games that are more suited to the preferences of game players. The design of game music in particular has considerable influence on game players. A game with well-designed audio enables game players to immerse themselves in their role and the scenario of the game. Using factor analysis, we selected representative adjectives to describe the affective responses (emotional reactions) of game players. We first selected 100 pieces of game music and divided the samples into five scenarios: (1) regional game music, (2) tense game music, (3) relaxing game music, (4) exciting game music, and (5) fantastic game music. We then chose three representative pieces from each scenario, resulting in a total of 15 pieces. The second stage of this study involved a questionnaire experiment in which we collected adjectives from subjects’ evaluations of the samples to form a preliminary affective response scale. Finally, we employed factor analysis to select representative adjectives from the list derived from the test subjects We selected four adjectives to form a preliminary affective scale for 8-bit game music: cold, humorous, fantastic, and calming. This study provides reference for future studies on game music and affective response.