本研究旨在探討結合虛擬實境技術（VR）與生成式人工智慧（AI）技術，以紓解大學生心理壓力的應用效果。隨著心理健康問題的日益凸顯，尤其是在大學生群體中，尋找有效的紓解壓力方法變得極為重要。虛擬實境技術因其沉浸式體驗的特色，被認為是一種具有潛力的壓力紓解工具。而生成式AI技術，透過創造個人化的互動體驗，有望進一步提升VR環境的效果。本研究將結合沉浸式VR，並利用生成式AI技術針對不同問題來進行個人化回答，旨在提供一種創新的心理壓力緩解方法。本研究也期望揭露這些技術如何相互共同作用，以達到有效減輕或舒緩大學生心理壓力之目的。研究結果將為未來在教育與心理健康領域的技術應用提供理論與影響。

This study aims to explore the effectiveness of integrating Virtual Reality (VR) and Generative Artificial Intelligence (AI) technologies in alleviating psychological stress among college students. As mental health issues become increasingly prominent, especially within the college student population, finding effective stress relief methods has become critically important. Virtual Reality technology, with its immersive experiences, is considered a potential tool for stress relief. Meanwhile, Generative AI technology, through creating personalized interactive experiences, is expected to further enhance the effectiveness of VR environments. This study will combine immersive VR, utilizing Generative AI technology to provide personalized responses to various issues, aiming to offer an innovative method for psychological stress relief. This research also seeks to unveil how these technologies interact with each other to effectively reduce or alleviate psychological stress among college students. The results of the study are expected to provide theoretical and practical implications for the application of technology in the fields of education and mental health.

目錄	iii
圖目錄	vi
表目錄	vii
第一章 緒論	1
第一節 研究背景與動機	1
第二節 研究目的	4
第三節 研究問題	5
第四節 名詞解釋	6
第五節 本研究之重要性	7
第二章 文獻探討	9
第一節 大學生心理健康問題	9
第二節 常見心理健康處理方式	9
第2.2.1節 危機事件壓力減壓 Critical Incident Stress Debriefing (CISD)	10
第2.2.2節 心理急救Psychological First Aid (PFA)	10
第三節 人工智慧應用於心理諮商	11
第四節 虛擬實境結合心理諮商	14
第五節 生成式人工智慧	14
第2.5.1節 定義	14
第2.5.2節 技術的影響	15
第2.5.3節 應用的領域	15
第2.5.4節 限制	16
第六節 生成式人工智慧應用於數位心理健康	16
第三章 研究方法	18
第一節 研究對象	18
第二節 研究設計	18
第3.2.1節 系統介紹	18
第3.2.2節 評估工具	21
第三節 實驗設計	23
第3.3.1節 實驗階段	23
第3.3.2節 虛擬人物Prompts設定	26
第3.3.3節 Fine-Tuning資料	28
第3.3.4節 實驗操作說明	29
第四節 資料收集與方法	30
第四章 研究結果	32
第一節 問卷前、後測分析	32
第二節 敘述性統計分析	35
第三節 對話內容	39
第四節 滿意度分析	54
第五節 受試者主觀回饋	57
第五章 結論與未來展望	58
參考文獻	62
中文文獻	62
英文文獻	63
附錄一 前測問卷題目	69
第一部分：基本資料	69
第二部分：相關使用經驗	70
第三部分：心情溫度計簡式健康量表  BRIEF SYMPTOM RATING SCALE (BSRS-5)	70
第四部分：知覺壓力量表  PERCEIVED STRESS SCALE (PSS-10)	71
第五部分：通用健康問卷  GENERAL HEALTH QUESTIONNAIRE (GHQ-12)	72
第六部分：貝克抑鬱量表  BECK DEPRESSION INVENTORY (BDI)	73
附錄二 後測問卷題目	78
第一部分：基本資料	78
第二部分：心情溫度計簡式健康量表  BRIEF SYMPTOM RATING SCALE (BSRS-5)	79
第三部分：知覺壓力量表  PERCEIVED STRESS SCALE (PSS-10)	80
第四部分：通用健康問卷  GENERAL HEALTH QUESTIONNAIRE (GHQ-12)	81
第五部分：貝克抑鬱量表  BECK DEPRESSION INVENTORY (BDI)	82
第六部分：滿意度調查	86

圖目錄
圖 2 -  1 校園傳統式諮商預約流程	11
圖 3 -  1 Meta Studio 平台畫面	18
圖 3 -  2 Meta Studio系統架構圖	19
圖 3 -  3 Fine-Tuning架構圖 （本研究自行繪製）	19
圖 3 -  4 沉浸式環境A	20
圖 3 -  5 沉浸式環境B	20
圖 3 -  6 沉浸式環境C	21
圖 3 -  7 Meta Quest 3 圖片 （取自Meta官網）	23
圖 3 -  8 研究流程圖	26
圖 3 -  9 Fine-Tuning訓練JSON資料	29

表目錄
表 2 -  1 人工智慧應用於心理健康相關文獻整理	13
表 3 -  1 學生配戴Meta Quest 3 進行實驗	25
表 3 -  2 虛擬人物 Prompts 設定	27
表 3 -  3 實驗操作說明	30
表 4 -  1 問卷前、後測  成對樣本T檢定結果	32
表 4 -  2 問卷前、後測  獨立樣本T 檢定結果	35
表 4 -  3 受試者之基本資料分析表	37
表 4 -  4 受試者之使用經驗分析表	37
表 4 -  5 受試者對話節錄	54
表 4 -  6 受試者之滿意度分析表	55
表 4 -  7 受試者主觀回饋	58

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