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題名 基於 SFBT 架構探討 AI 協作中的行為建議對個體生涯自我效能的影響
The effect of SFBT-based behavioral advice on career self-efficacy: an AI-Human collaboration approach作者 紀玟伶
Chi, Wen-Ling貢獻者 陳宜秀<br>廖峻鋒
Chen, Yi-Hsiu<br>Liao, Chun-Feng
紀玟伶
Chi, Wen-Ling關鍵詞 人工智慧
心理健康
生涯自我效能
人機互動
人智協作
對話型機器人
AI
Mental health
Career self-efficacy
HCI
Chatbot
Human-AI Collaboration日期 2025 上傳時間 4-Aug-2025 15:50:59 (UTC+8) 摘要 當個體遇到求職的挑戰，伴隨而來的情緒困擾或是壓力，除了選擇自身勇敢面對之外，還能有其他支持性的資源可以使用。目前在社會或校園中有輔導和諮商的管道，都是個體可利用的資源。輔導與諮商能夠幫助個體處理內在認知，覺察感受，此過程中不僅能夠獲得同理與支持，還能促進自我理解，更有方法面對困擾自身的議題。 隨著科技的發展，運用人工智慧的輔助，能夠為諮商服務提供新的發展性。人工智慧應用於心理健康領域的協助應用，因其能夠突破時空限制，給予個體更即時的幫助與建議，也能為個體提供另一個求助資源。因此，希望透過本研究探索人工智慧使用焦點解決短期治療（solution-focused brief therapy, SFBT），將其應用於輔導個體探索生涯的過程，理解人工智慧如何與個體雙向互動和協作，在評估個體能力之後，給予聚焦問題的行動解方，並且觀察人工智慧在提供個體執行建議後，其是否能夠對個體的生涯自我效能產生正向影響，並協助減緩壓力。 本研究採用單因子組間設計實驗法，將30位參與受試者隨機分配至三個組別：「AI協作組」、「文字引導組」、「獨立完成組」。實驗操弄變項為不同「接收到行為建議的方式」，依變數為「生涯自我效能」和「壓力值」，每位受試者皆需完成前測和後測，用來觀察受試前後的變化，藉此理解人工智慧如何與個體協作產生行為建議，以及輔助過後造成的效果影響。 實驗結果顯示，在AI協作組提升生涯自我效能表現最為突出，平均提升 10.7 分、文字引導組平均提升4.9分、獨立完成組平均提升2.5分。AI協作組與獨立完成組間存在顯著差異（t（26）= 2.574， p = .041）。AI協作組中，對話型機器人擔任職涯輔導員的角色，協助受試者針對求職目標討論、探索過去的成功經驗以及拆解行動步驟。在過程中，受試者會收到對話型機器人的回饋，如同獲得同行夥伴陪伴其前行，協助其提升生涯自我效能。另外，雖然結果顯示人工智慧輔助行為建議對個體壓力具有緩解效果，然而，在實驗結果中發現組間之間並沒有顯著差異。未來研究應增加樣本數，在取樣上盡量減少個體間的差異，增加研究數據對於結果的支持。 本研究結果顯示，基於SFBT架構下所設計的人工智慧對話型機器人，能依照個體的狀態與能力，與其討論出合適的行為建議，幫助個體思索過往成功經驗或是可利用的資源，協助個體找回面對難題的掌控感，也提升其面對和解決求職問題的自我效能。本研究指出，人工智慧的數位工具可作為諮商輔導的輔助資源，也能成為個體自我幫助的方法之一，提供未來設計對話型機器人應用於心理健康領域的研究參考。
When people look for a job, they may feel stressed or emotionally overwhelmed; however, they can find support through helpful resources. People can access counseling services available in society and on campus. This process not only helps people process their thoughts and care for their emotions, but also enhances self-awareness and provides guidance on how to address the problems they are facing. As technology advances, artificial intelligence presents new opportunities for the development of counseling services, overcoming time and location limitations to provide people with immediate help and advice. This study aims to explore the application of artificial intelligence in solution-focused brief therapy (SFBT) and utilize it to support individuals in focusing on resolving problems in their career planning. To understand how artificial intelligence collaborates with people and provides advice. It also examines whether artificial intelligence enhances people's career self-efficacy and helps them reduce stress. This study adopts a single-factor experimental design. Randomly assigning 30 participants into three groups: "AI-guided group", "Text-guided group", "Self-Guided group". The experimental manipulation variable is the different methods of receiving behavioral advice. The dependent variables include career self-efficacy and stress scores. Each participant is required to complete both the pre-test and post-test to observe changes before and after the experiment, which helps to understand how artificial intelligence collaborates with people to provide behavioral advice and the effect of the advice provided. Results showed that the AI-guided group had the most improvement in career self-efficacy, with an average increase of 10.7 points, followed by the text-guided group with 4.9 points and the self-guided group with 2.5 points. A significant difference was found between the AI-guided group and the self-guided group, t(26) = 2.574, p < .05 . In the experiment, the chatbot played the role of a career mentor. It supported people in sharing their goals, reflecting on their successful experiences, and breaking down the goal into small action steps. During the experiment, participants received feedback from the chatbot. This support is beneficial in enhancing their career self-efficacy. Furthermore, the results showed that stress was reduced in the AI-guided group; however, there were no significant differences between the groups. In future studies, increasing the sample size and balancing the stress levels before the experiment may help reduce individual variability and enhance the reliability of the findings. In summary, this demonstrates that an AI chatbot designed under the SFBT framework can provide suitable behavioral advice tailored to individuals' needs and abilities. Because of this help, it enhances people's career self-efficacy and confidence in facing job search challenges. AI-collaborative digital tools can serve as a supportive resource in counseling. It can also be a self-help resource. 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Human-Generative AI Collaborative Problem Solving Who Leads and How Students Perceive the Interactions. https://doi.org/10.48550/arXiv.2405.13048 描述 碩士
國立政治大學
數位內容碩士學位學程
112462003資料來源 http://thesis.lib.nccu.edu.tw/record/#G0112462003 資料類型 thesis dc.contributor.advisor 陳宜秀<br>廖峻鋒 zh_TW dc.contributor.advisor Chen, Yi-Hsiu<br>Liao, Chun-Feng en_US dc.contributor.author (Authors) 紀玟伶 zh_TW dc.contributor.author (Authors) Chi, Wen-Ling en_US dc.creator (作者) 紀玟伶 zh_TW dc.creator (作者) Chi, Wen-Ling en_US dc.date (日期) 2025 en_US dc.date.accessioned 4-Aug-2025 15:50:59 (UTC+8) - dc.date.available 4-Aug-2025 15:50:59 (UTC+8) - dc.date.issued (上傳時間) 4-Aug-2025 15:50:59 (UTC+8) - dc.identifier (Other Identifiers) G0112462003 en_US dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/158790 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 數位內容碩士學位學程 zh_TW dc.description (描述) 112462003 zh_TW dc.description.abstract (摘要) 當個體遇到求職的挑戰，伴隨而來的情緒困擾或是壓力，除了選擇自身勇敢面對之外，還能有其他支持性的資源可以使用。目前在社會或校園中有輔導和諮商的管道，都是個體可利用的資源。輔導與諮商能夠幫助個體處理內在認知，覺察感受，此過程中不僅能夠獲得同理與支持，還能促進自我理解，更有方法面對困擾自身的議題。 隨著科技的發展，運用人工智慧的輔助，能夠為諮商服務提供新的發展性。人工智慧應用於心理健康領域的協助應用，因其能夠突破時空限制，給予個體更即時的幫助與建議，也能為個體提供另一個求助資源。因此，希望透過本研究探索人工智慧使用焦點解決短期治療（solution-focused brief therapy, SFBT），將其應用於輔導個體探索生涯的過程，理解人工智慧如何與個體雙向互動和協作，在評估個體能力之後，給予聚焦問題的行動解方，並且觀察人工智慧在提供個體執行建議後，其是否能夠對個體的生涯自我效能產生正向影響，並協助減緩壓力。 本研究採用單因子組間設計實驗法，將30位參與受試者隨機分配至三個組別：「AI協作組」、「文字引導組」、「獨立完成組」。實驗操弄變項為不同「接收到行為建議的方式」，依變數為「生涯自我效能」和「壓力值」，每位受試者皆需完成前測和後測，用來觀察受試前後的變化，藉此理解人工智慧如何與個體協作產生行為建議，以及輔助過後造成的效果影響。 實驗結果顯示，在AI協作組提升生涯自我效能表現最為突出，平均提升 10.7 分、文字引導組平均提升4.9分、獨立完成組平均提升2.5分。AI協作組與獨立完成組間存在顯著差異（t（26）= 2.574， p = .041）。AI協作組中，對話型機器人擔任職涯輔導員的角色，協助受試者針對求職目標討論、探索過去的成功經驗以及拆解行動步驟。在過程中，受試者會收到對話型機器人的回饋，如同獲得同行夥伴陪伴其前行，協助其提升生涯自我效能。另外，雖然結果顯示人工智慧輔助行為建議對個體壓力具有緩解效果，然而，在實驗結果中發現組間之間並沒有顯著差異。未來研究應增加樣本數，在取樣上盡量減少個體間的差異，增加研究數據對於結果的支持。 本研究結果顯示，基於SFBT架構下所設計的人工智慧對話型機器人，能依照個體的狀態與能力，與其討論出合適的行為建議，幫助個體思索過往成功經驗或是可利用的資源，協助個體找回面對難題的掌控感，也提升其面對和解決求職問題的自我效能。本研究指出，人工智慧的數位工具可作為諮商輔導的輔助資源，也能成為個體自我幫助的方法之一，提供未來設計對話型機器人應用於心理健康領域的研究參考。 zh_TW dc.description.abstract (摘要) When people look for a job, they may feel stressed or emotionally overwhelmed; however, they can find support through helpful resources. People can access counseling services available in society and on campus. This process not only helps people process their thoughts and care for their emotions, but also enhances self-awareness and provides guidance on how to address the problems they are facing. As technology advances, artificial intelligence presents new opportunities for the development of counseling services, overcoming time and location limitations to provide people with immediate help and advice. This study aims to explore the application of artificial intelligence in solution-focused brief therapy (SFBT) and utilize it to support individuals in focusing on resolving problems in their career planning. To understand how artificial intelligence collaborates with people and provides advice. It also examines whether artificial intelligence enhances people's career self-efficacy and helps them reduce stress. This study adopts a single-factor experimental design. Randomly assigning 30 participants into three groups: "AI-guided group", "Text-guided group", "Self-Guided group". The experimental manipulation variable is the different methods of receiving behavioral advice. The dependent variables include career self-efficacy and stress scores. Each participant is required to complete both the pre-test and post-test to observe changes before and after the experiment, which helps to understand how artificial intelligence collaborates with people to provide behavioral advice and the effect of the advice provided. Results showed that the AI-guided group had the most improvement in career self-efficacy, with an average increase of 10.7 points, followed by the text-guided group with 4.9 points and the self-guided group with 2.5 points. A significant difference was found between the AI-guided group and the self-guided group, t(26) = 2.574, p < .05 . In the experiment, the chatbot played the role of a career mentor. It supported people in sharing their goals, reflecting on their successful experiences, and breaking down the goal into small action steps. During the experiment, participants received feedback from the chatbot. This support is beneficial in enhancing their career self-efficacy. Furthermore, the results showed that stress was reduced in the AI-guided group; however, there were no significant differences between the groups. In future studies, increasing the sample size and balancing the stress levels before the experiment may help reduce individual variability and enhance the reliability of the findings. In summary, this demonstrates that an AI chatbot designed under the SFBT framework can provide suitable behavioral advice tailored to individuals' needs and abilities. Because of this help, it enhances people's career self-efficacy and confidence in facing job search challenges. AI-collaborative digital tools can serve as a supportive resource in counseling. It can also be a self-help resource. The results and insights from this study can offer a valuable reference for future research on the use of chatbots in the mental health field. en_US dc.description.tableofcontents 誌謝 2 摘要 3 ABSTRACT 5 目次 7 圖次 11 表次 12 一、緒論 14 第一節：研究背景 14 第二節：研究動機 15 第三節：研究目的與問題 16 二、文獻探討 18 第一節：心理健康資源的現狀與應用 18 1.1 心理諮商輔導的功能 18 1.2 台灣現在的心理諮商輔導場域 20 1.3 適用於短期諮輔的技巧與方法 21 1.3.1 同理、問話技巧 23 1.3.2 協助聚焦目標、拆解執行步驟促使小改變 23 1.3.3 求助者受輔後的改變 24 1.3.4 個人自我效能的提升 24 1.3.5 自我效能對人產生的影響 26 1.4 短期諮輔應用於輔導個體生涯探索 27 第二節：台灣諮商現況的挑戰與轉變 27 2.1 走入實體場域的污名化 28 2.2 個體需負擔經濟、時間成本 28 2.3 遠距服務提升求助者的使用意願 29 2.4 新數位科技產品作為心理健康的支持陪伴資源 29 第三節：人工智慧協作之應用 31 3.1 人工智慧與生成式人工智慧的應用發展 31 3.2 生成式人工智慧對話型機器人的應用轉變 32 3.3 生成式人工智慧協作之應用 33 3.4 提示工程建立與大型語言模型的溝通橋樑 34 第四節：AI 應用於心理健康領域的現況與趨勢 35 4.1 AI 應用於心理健康領域 35 4.1.1 數位陪伴產品案例 36 4.1.2 生成式AI提供求助者同理與支持 37 4.1.3 生成式AI輔助行為建議 37 4.1.4 AI輔助工具進行拆解任務、應用案例 37 4.1.5 拆解任務協助提升自我效能 38 4.2 生成式AI的輔助行為建議侷限挑戰 38 第五節：文獻總結以及研究問題 38 三、研究方法 40 第一節：實驗目的 40 第二節：實驗設計以及研究假設 40 2.1 實驗組別與操弄方式 41 第三節：實驗系統架構 45 3.1 設計實驗前端介面 47 第四節：前導研究 49 4.1 前導研究目的 49 4.2 前導研究評估員輪廓 49 4.3 前導研究流程 49 4.4 前導研究腳本撰寫 50 4.5 前導研究評估項目 51 4.6 前導研究結果迭代模型 52 4.7 前導研究修改引導問句 54 第五節：正式實驗 54 5.1 正式受試者研究知情同意 55 5.2 正式實驗受試者輪廓說明 55 5.3 系統架構以及各組實驗環境 57 5.4 實驗場所及器材 57 5.5 實驗流程 58 5.6 研究問卷及測量依變項量表 58 5.7 正式實驗介面 59 第六節：實驗測量 61 四、研究結果分析 63 第一節：生涯自我效能表及壓力感知表信度分析 63 第二節：生涯自我效能之變化分析 64 第三節：壓力感知之變化分析 75 五、討論 78 第一節：人工智慧輔助行為建議對個體產生正向影響 78 第二節：人工智慧輔助行為建議對個體壓力具有緩解效果 80 第三節：人工智慧輔助行為建議賦能個體的貢獻 81 六、研究限制與未來方向 83 第一節：個別差異過大，樣本起始點不均等 83 第二節：延長實驗的時間 83 第三節：未來調整實驗招募時段 85 參考文獻 87 附件一 前導研究問卷 97 附件二 實驗招募問卷 98 附件三 生涯自我效能量表 99 附件四 壓力知覺量表 100 zh_TW dc.format.extent 4992959 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0112462003 en_US dc.subject (關鍵詞) 人工智慧 zh_TW dc.subject (關鍵詞) 心理健康 zh_TW dc.subject (關鍵詞) 生涯自我效能 zh_TW dc.subject (關鍵詞) 人機互動 zh_TW dc.subject (關鍵詞) 人智協作 zh_TW dc.subject (關鍵詞) 對話型機器人 zh_TW dc.subject (關鍵詞) AI en_US dc.subject (關鍵詞) Mental health en_US dc.subject (關鍵詞) Career self-efficacy en_US dc.subject (關鍵詞) HCI en_US dc.subject (關鍵詞) Chatbot en_US dc.subject (關鍵詞) Human-AI Collaboration en_US dc.title (題名) 基於 SFBT 架構探討 AI 協作中的行為建議對個體生涯自我效能的影響 zh_TW dc.title (題名) The effect of SFBT-based behavioral advice on career self-efficacy: an AI-Human collaboration approach en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) 王智弘 (2022)。科技在諮商上的運用：網路諮商、精準諮商與元宇宙諮商。輔導季刊, 1-12. https://www.airitilibrary.com/Article/Detail?DocID=19966822-202206-202207220012-202207220012-1-12 王智弘、林清文、劉淑慧、楊淳斐、蕭宜綾 (2008)。台灣地區網路諮商服務發展之調查研究 [A Survey Study on Development of Cybercounseling in Taiwan]. 教育心理學報, 39(3), 395-412. https://doi.org/10.6251/bep.20070730.2 王嘉琪 (2010)。大學生憂鬱情緒、自尊、污名化、自我揭露與求助態度之關係。﹝碩士論文。國立臺灣師範大學﹞臺灣博碩士論文知識加值系統。https://hdl.handle.net/11296/usaksx 台灣輔導與諮商學會 (2022)。台灣輔導與諮商學會輔導與諮商專業倫理守則. 史靜芬 (2021)。全球網路諮商平台的運作模式之比較研究。﹝碩士論文。國立清華大學﹞臺灣博碩士論文知識加值系統。https://hdl.handle.net/11296/6e62z6 何佩錦 (2008)。焦點解決取向團體諮商對大學生生涯信念與生涯自我效能輔導效果之研究。﹝碩士論文。國立臺中教育大學﹞臺灣博碩士論文知識加值系統。https://hdl.handle.net/11296/p4sm4v 呂勝瑛 (1984)。諮商理論與技術. 五南圖書出版公司. 沈孟筑 (2015)。焦點解決短期諮商師引發當事人賦能經驗之研究。﹝碩士論文。國立臺灣師範大學﹞臺灣博碩士論文知識加值系統。https://hdl.handle.net/11296/9vbkn6 孟謙 (2012)。心理諮商人員焦點解決短期諮商應用經驗之研究。﹝碩士論文。國立臺北教育大學﹞臺灣博碩士論文知識加值系統。https://hdl.handle.net/11296/6694n2 抱抱心身醫學 (2024)。2024 全台免費心理諮商資源、24 小時免費心理諮詢專線一次看. https://clinic.farhugs.com/posts/66c84402f757300001de695b 林巧莉、謝麗紅 (2021)。AI對輔導與諮商教育的衝擊與反思. 台灣教育(727), 1-11. https://www.airitilibrary.com/Article/Detail?DocID=18166482-202102-202102190007-202102190007-1-11 林俊德 (2006)。焦點解決短期諮商對當事人賦能形成之分析研究。﹝博士論文。國立彰化師範大學﹞臺灣博碩士論文知識加值系統。https://hdl.handle.net/11296/6tx892 洪偉瑜 (2010)。焦點解決取向生涯團體諮商介入策略對高中生幸福感與生涯自我效能之成效研究。﹝碩士論文。國立新竹教育大學﹞臺灣博碩士論文知識加值系統。https://hdl.handle.net/11296/6358uf 洪莉竹 (2007)。稻草變黃金：焦點解決諮商訓練手冊. 張老師文化. 袁志晃 (2002)。生涯未定大學生生涯發展阻力因素之探討 [A Study of Career Undecided College Students' Self-Perceived Barriers in Career Development]. 彰化師大輔導學報(23), 109-130. https://doi.org/10.7040/gj.200206.0109 袁聖琇 (2008)。當事人諮商期望、對諮商初期諮商師可信度與工作同盟之相關研究。﹝碩士論文。國立屏東教育大學﹞臺灣博碩士論文知識加值系統。https://hdl.handle.net/11296/8wpt45 高慧真 (2022)。運用焦點解決方案提升脆弱家庭青少年的自我效能。﹝碩士論文。東吳大學﹞臺灣博碩士論文知識加值系統。https://hdl.handle.net/11296/a6392z 張虹雯 (2011)。憂鬱情緒、求助態度、自我污名化、社會污名化與自我隱藏對求助行為及求助延宕影響之研究。﹝博士論文。國立臺灣師範大學﹞臺灣博碩士論文知識加值系統。https://hdl.handle.net/11296/8e2fzu 張晨郁 (2016)。社會大眾求助心理諮商模式之初探。﹝碩士論文。國立嘉義大學﹞臺灣博碩士論文知識加值系統。https://hdl.handle.net/11296/t6apcu 許鈞堯 (2020)。心理諮商值多少錢？台灣民眾可接受的諮商價格及其影響因素。﹝碩士論文。銘傳大學﹞臺灣博碩士論文知識加值系統。 https://hdl.handle.net/11296/9d4uq8 許維素 (2009)。焦點解決短期治療高助益性重要事件及其諮商技術之初探研究 [High Helpful Significant Events and Related Techniques in Solution-Focused Brief Therapy: An Exploratory Study]. 教育心理學報, 41(S), 271-294. https://doi.org/10.6251/bep.20090302 許維素 (2022)。焦點解決短期治療對於創傷復原的工作理念 [The Concepts of Solution-Focused Brief Therapy Working on Trauma Recovery]. 輔導季刊, 58(2), 43-54. 郭淑梅、謝麗紅、劉嘉吉 (2023)。 當諮商遇到AI：談在人工智慧素養和諮商素養之架橋工作. 本土諮商心理學學刊, 14:3 2023.09[民112.09] 302-364. 陳金定 (2001)。諮商技術. 心理出版社. 陳德倫 (2021)。大專心理師耗竭前的 SOS:不被納入「正規軍」，如何支撐接住學生的安全網? 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