遊戲音效與玩家情感反應之研究

A Study of Players’ Affective Response on Video Game Sound Effects

近年來數位遊戲產業產值迅速成長，從早期紅白機時代到現在的次世代遊戲，不僅遊戲平台越來越多，玩家對於遊戲的畫面、聲光效果也越來越講究。為了掌握市場以及玩家的第一印象，遊戲音效扮演重要的角色，適當的聲音元素在遊戲中可以營造出符合遊戲情境的音效，引導玩家快速融入整個遊戲情緒當中。本研究首先篩選出代表性遊戲類型，而後針對遊戲類型進行音效樣本收集與音效感性辭彙篩選，最後透過因素分析篩選分類標籤及使用支援向量機建立情感分類模型。研究結果顯示，情感反應尺度結果歸類出三組分類標籤，分別是「情緒感受性」、「提示性」及「變化性」，並針對這三組分類標籤分別進行音訊分析，可以看出各分類標籤與音量、音色及音調這三項聲音特徵之間的關係。最後透過支援向量機所獲得的最佳訓練模型平均準確率為94.4%，證明了本研究結果的可行性，並可作為未來延續遊戲音效與情感反應研究的重要參考資料。

Video games are getting more important for our daily lives and more people in different ages are familiar with video games than before. One of the significant factors for video games is game sound effects. The design of the game sound effects in particular has considerable influence on game players. A game with well-designed audio enables game players to immerse themselves in their roles and the scenario of the game. First, we selected representative games, and then selected these sound effect samples and representative adjectives to describe the affective responses (emotional reactions) of the game players. We employed the MIR toolbox to describe the key sound elements corresponding to certain affective responses, thereby facilitating a preliminary understanding on the connection between video game sound effects and affective response. We selected three adjective labels to form a preliminary affective scale for video game sound effects: emotional sensitivity, informative, and variability. The analysis of the sound samples showed their variations in the three features of volume, timbre and tonality. Using an SVM to classify video game sound effects achieved an accuracy rate of 94.4 %; this demonstrates that the features selected and the feature analysis approach are feasible. This study provides reference for future studies on video game sound effects and affective response.