臺灣博碩士論文加值系統

電玩產業發達，人們對電玩遊戲的依賴性越來越高。有研究顯示，電玩會影響玩家的思想與行為，並進一步影響玩家駕駛行為與風險知覺。經過統計，交通事故是造成年輕人死亡的主要原因，而交通事故的發生大多與危險駕駛行為有關。因此，本研究利用電玩實驗和駕駛模擬實驗探討不同類型電玩對玩家駕駛行為與風險知覺的影響差異，並使用巴斯佩里侵略性量表(Buss-Perry Aggression Questionnaire；BPAQ)和杜拉危險駕駛指數量表(The Dula Dangerous Driving Index, DDDI)對玩家進行評估。本實驗為3(電玩遊戲類型，其他遊戲族群vs. 暴力遊戲族群vs. 賽車遊戲族群) x 2(道路複雜度，高負荷vs. 低負荷)混合因子實驗設計。觀察電玩遊戲種類是否影響玩家，並且對駕駛績效產生影響，並進一步探討道路複雜度與電玩影響的相關性。
研究結果顯示不同遊戲族群會顯著影響行為特質與駕駛行為，其中暴力遊戲族群會有最高的侵略特質，較容易受到玩遊戲的短期影響，其也有最大的加速駕駛反應；賽車遊戲族群則有最高的行駛速度。除了速度的變化量與注意力之外，在高負荷環境的駕駛行為反應皆大於低負荷環境。未來對於玩電玩遊戲造成的激進駕駛行為，應該在道路上或車內資訊系統給予立即性的回饋，以提醒駕駛恢復安全駕駛，進而減少事故發生。

As industries for producing Video games develop rapidly, people are being over-dependent on video games nowadays. Some studies show that video games would influence players’ thoughts and behaviors, and furthermore affect players’ driving behaviors and risk perception. It could be deducted using statistical method that traffic collision were a main factor causing a youngster’s life, and there’s a close relationship between traffic collision and dangerous driving behaviors. Therefore, the study investigates the effects of different types of the video games on younger’s driving behaviors and risk perception through the experiment of gaming and driving simulation, estimating the subject’s behavior using BPAQ and DDDI. The experiment is a mixed factorial design that divides experimental factor into three types of groups, which are the video game, the violent video game, and the racing game, with each group having two road environment complexity, the high complexity and the low complexity. It observes whether the type of video game would influence player’s driving behaviors and studies the relationship between road environment complexity and video games.
The results of the study shows that different game groups significantly reveals their specific behavioral traits and driving behavior. The violent game groups have the highest aggression traits, implying their vulnerability affected by games, and has the greatest longitudinal acceleration of driving response. The racing game group has the highest speed. In addition to the longitudinal velocity variation and the frequency of lack of concentration, the driving behavioral responses in high load environments are greater than the one in low load environments. In the future, in-vehicle computing system should provided the driver with the immediate feedback of the road and driving car status to remind them to drive safely, reducing the accidents.

摘要 i
Abstract ii
目錄 iv
表目錄 ix
圖目錄 xvi
第一章、緒論 1
1.1研究背景與動機 1
1.2研究目的 5
1.3研究架構 5
1.4研究流程 6
第二章 文獻探討 8
2.1電玩遊戲定義與類型 8
2.1.1 電玩遊戲類型 8
2.1.2 電玩遊戲分級 15
2.2 風險知覺 18
2.3電玩遊戲對生理之影響 20
2.4暴力/競速賽車電玩對心理行為之影響 22
2.5暴力/競速賽車電玩對駕駛者之影響 24
第三章 研究方法 28
3.1 受測者 28
3.2 實驗設備與軟體 28
3.3 受測者工作 36
3.4 實驗劇本描述 38
3.5 實驗設計 40
3.6 實驗程序 41
3.7 資料收集 43
第四章 結果 45
4.1 受測者基本資訊 45
4.2 巴斯佩里侵略性分數(BPAQ) 47
4.2.1沒有遊戲實驗(對照組) 47
4.2.1.1總分 47
4.2.1.2肢體侵略層面(PA) 48
4.2.1.3言語侵略層面(VA) 49
4.2.1.4憤怒層面(A) 50
4.2.1.5敵意層面(H) 51
4.2.2有遊戲實驗 52
4.2.2.1總分 52
4.2.2.2肢體侵略層面(PA) 53
4.2.2.3言語侵略層面(VA) 54
4.2.2.4憤怒層面(A) 55
4.2.2.5敵意層面(H) 56
4.3 杜拉危險駕駛指數(DDDI) 57
4.3.1沒有遊戲實驗(對照組) 58
4.3.1.1總分 58
4.3.1.2侵略駕駛(AD) 59
4.3.1.3負面情緒和認知駕駛(NCED) 60
4.3.1.4冒險駕駛(RD) 61
4.3.2有遊戲實驗 62
4.3.2.1總分 62
4.3.2.2侵略駕駛(AD) 63
4.3.2.3負面情緒和認知駕駛(NCED) 64
4.3.2.4冒險駕駛(RD) 65
4.4風險知覺 66
4.4.1電玩影響分析 68
4.4.2電玩差異分析 69
4.5 駕駛行為 70
4.5.1 平均縱向速度 70
4.5.1.1憤怒誘發事件分析 71
4.5.1.2電玩影響分析 73
4.5.1.3電玩差異分析 74
4.5.2 縱向速度變異數 75
4.5.2.1憤怒誘發事件分析 77
4.5.2.2電玩影響分析 79
4.5.2.3電玩差異分析 80
4.5.3平均縱向加速度 81
4.5.3.1憤怒誘發事件分析 82
4.5.3.2電玩影響分析 84
4.5.3.3電玩差異分析 85
4.5.4 橫向加速度變異數 86
4.5.4.1憤怒誘發事件差異分析 89
4.5.4.2電玩影響分析 92
4.5.4.3電玩差異分析 94
4.5.5 車道位置變異數 95
4.5.5.1憤怒誘發事件分析 96
4.5.5.2電玩影響分析 98
4.5.5.3電玩差異分析 99
4.5.6方向盤轉角變異數 100
4.5.6.1憤怒誘發事件分析 102
4.5.6.2電玩影響分析 104
4.5.6.3電玩差異分析 106
4.6分割注意力工作 107
4.6.1命中率(%) 107
4.6.1.1電玩影響分析 108
4.6.1.2電玩差異分析 109
4.6.2 反應時間(秒) 110
4.6.2.1電玩影響分析 111
4.6.2.2電玩差異分析 112
第五章、討論與結論 114
5.1不同遊戲族群之差異 114
5.2道路環境之影響 115
5.3電玩之影響 115
5.4結論與建議 116
參考文獻 118
附錄一 實驗同意書 131
附錄二 受測者篩選問卷 135
附錄三 巴斯佩里侵略性量表(BPAQ) 137
附錄四 杜拉危險駕駛指數量表(DDDI) 139
附錄五 141
巴斯佩里侵略性分數(BPAQ) 141
附錄5.1各遊戲族群實驗狀態分析 141
附錄5.2三種遊戲族群實驗狀態差異值分析 147
杜拉危險駕駛指數(DDDI) 151
附錄5.1各遊戲族群實驗狀態分析 151
附錄5.2三種遊戲族群實驗狀態差異值分析 156
 

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