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題名 AI-based心理健康促進的創新經營模式之市場可行性研究
The Market Feasibility Analysis of Innovative Business Model for AI-Based Extended Reality (XR) Mental Healthcare Service作者 杜宜酈
Tu, Yi-Li貢獻者 許牧彥
Hsu, Mu-Yen
杜宜酈
Tu, Yi-Li關鍵詞 數位醫療
人工智慧
XR
可行性
商業模式
智慧醫療
Digital Health
Artificial Intelligence
XR
Feasibility
Business Model
Smart Healthcare日期 2024 上傳時間 1-Nov-2024 10:57:32 (UTC+8) 摘要 本研究旨在推廣 VR/AR 心理健康醫療於亞洲市場，特別是在台灣，了解公眾對此創新解決方案的接受度。隨著科技的進步，AR/VR 等新技術在心理健康領域獲得了廣泛關注。由於亞洲消費者的保守性，亞洲的採用模式與美國有所不同。我們的研究旨在消費者對 VR/AR 技術的熟悉度，了解消費者信任和採用此服務的意願。通過 STP（市場細分、目標定位、定位策略）框架、4C營銷模型和商業模式畫布，確立消費族群：年輕的科技愛好者作為台灣的主要目標人群。 調查結果顯示，公眾對 VR/AR 心理健康服務有強烈興趣，並在回應模式中存在顯著的性別差異。男性表現出較高的初步興趣，而女性則更關注自己的心理健康。研究強調需要針對特定人口特徵的教育和行銷策略，以提高採用率。儘管研究結果提供了寶貴的見解，但也有樣本多樣性和進行縱向研究的必要性等限制。 未來的研究應探索更廣泛的人口代表性、文化障礙以及跨文化比較，以完善在多元市場中有效引入 VR/AR 心理健康醫療的策略。因此，可以更好地理解和推廣 VR/AR 的心理健康促進服務解決方案的採用。
This research aims to promote VR/AR mental healthcare in the Asian market, particularly in Taiwan, and evaluate public acceptance of these innovative solutions. As technology advances, novel techniques such as AR/VR have gained traction, especially in mental healthcare. The adoption patterns in Asia differ from those in the United States due to the more conservative nature of Asian consumers. Our study emphasises consumer familiarity with VR/AR technology, significantly influencing trust and willingness to adopt these services. By utilising the STP (Segmentation, Targeting, Positioning) framework, the 4C marketing model and Business Model Canvas, we identified young, tech-savvy professionals as the primary target demographic in Taiwan. Survey results indicated a strong interest in VR/AR mental healthcare, with notable gender differences in response patterns. Males showed greater initial interest, while females displayed a preoccupation with their mental well-being. The study underscores the need for targeted education and marketing strategies that address specific demographic concerns to enhance adoption rates. While the findings offer insights, the study acknowledges limitations such as sample diversity and the need for longitudinal research. Future research should explore broader demographic representation, cultural barriers, and cross-cultural comparisons to refine strategies for effectively introducing VR/AR mental healthcare across diverse markets. Consequently, we can better understand and promote the adoption of VR/AR-based mental healthcare solutions.參考文獻 1. Abd-Alrazaq, A. A., Rababeh, A., Alajlani, M., Bewick, B. M., & Househ, M. (2020). Effectiveness and safety of using chatbots to improve mental health: systematic review and meta-analysis. Journal of medical Internet research, 22(7), e16021. 2. Ahmad, H. F., Rafique, W., Rasool, R. U., Alhumam, A., Anwar, Z., & Qadir, J. (2023). 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國立政治大學
科技管理與智慧財產研究所
111364112資料來源 http://thesis.lib.nccu.edu.tw/record/#G0111364112 資料類型 thesis dc.contributor.advisor 許牧彥 zh_TW dc.contributor.advisor Hsu, Mu-Yen en_US dc.contributor.author (Authors) 杜宜酈 zh_TW dc.contributor.author (Authors) Tu, Yi-Li en_US dc.creator (作者) 杜宜酈 zh_TW dc.creator (作者) Tu, Yi-Li en_US dc.date (日期) 2024 en_US dc.date.accessioned 1-Nov-2024 10:57:32 (UTC+8) - dc.date.available 1-Nov-2024 10:57:32 (UTC+8) - dc.date.issued (上傳時間) 1-Nov-2024 10:57:32 (UTC+8) - dc.identifier (Other Identifiers) G0111364112 en_US dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/154194 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 科技管理與智慧財產研究所 zh_TW dc.description (描述) 111364112 zh_TW dc.description.abstract (摘要) 本研究旨在推廣 VR/AR 心理健康醫療於亞洲市場，特別是在台灣，了解公眾對此創新解決方案的接受度。隨著科技的進步，AR/VR 等新技術在心理健康領域獲得了廣泛關注。由於亞洲消費者的保守性，亞洲的採用模式與美國有所不同。我們的研究旨在消費者對 VR/AR 技術的熟悉度，了解消費者信任和採用此服務的意願。通過 STP（市場細分、目標定位、定位策略）框架、4C營銷模型和商業模式畫布，確立消費族群：年輕的科技愛好者作為台灣的主要目標人群。 調查結果顯示，公眾對 VR/AR 心理健康服務有強烈興趣，並在回應模式中存在顯著的性別差異。男性表現出較高的初步興趣，而女性則更關注自己的心理健康。研究強調需要針對特定人口特徵的教育和行銷策略，以提高採用率。儘管研究結果提供了寶貴的見解，但也有樣本多樣性和進行縱向研究的必要性等限制。 未來的研究應探索更廣泛的人口代表性、文化障礙以及跨文化比較，以完善在多元市場中有效引入 VR/AR 心理健康醫療的策略。因此，可以更好地理解和推廣 VR/AR 的心理健康促進服務解決方案的採用。 zh_TW dc.description.abstract (摘要) This research aims to promote VR/AR mental healthcare in the Asian market, particularly in Taiwan, and evaluate public acceptance of these innovative solutions. As technology advances, novel techniques such as AR/VR have gained traction, especially in mental healthcare. The adoption patterns in Asia differ from those in the United States due to the more conservative nature of Asian consumers. Our study emphasises consumer familiarity with VR/AR technology, significantly influencing trust and willingness to adopt these services. By utilising the STP (Segmentation, Targeting, Positioning) framework, the 4C marketing model and Business Model Canvas, we identified young, tech-savvy professionals as the primary target demographic in Taiwan. Survey results indicated a strong interest in VR/AR mental healthcare, with notable gender differences in response patterns. Males showed greater initial interest, while females displayed a preoccupation with their mental well-being. The study underscores the need for targeted education and marketing strategies that address specific demographic concerns to enhance adoption rates. While the findings offer insights, the study acknowledges limitations such as sample diversity and the need for longitudinal research. Future research should explore broader demographic representation, cultural barriers, and cross-cultural comparisons to refine strategies for effectively introducing VR/AR mental healthcare across diverse markets. Consequently, we can better understand and promote the adoption of VR/AR-based mental healthcare solutions. en_US dc.description.tableofcontents 摘要 2 ABSTRACT 3 FIGURE OF CONTENTS 6 TABLE OF CONTENTS 8 CHAPTER 1 INTRODUCTION 10 1.1 Background and Motivations 10 1.2 Research Questions 12 1.3 Research Procedure 12 CHAPTER 2 LITERATURE REVIEW 14 2.1 Consumption Trends of Population 14 2.2 Demand Analysis of Objectives 16 2.3 XR Technologies in Healthcare 22 2.4 Technology Management Challenges in XR Healthcare 28 2.5 Research in Taiwan 31 CHAPTER 3 METHODS 32 3.1 Concept Framework 32 3.2 Measures 34 3.3 Questionnaire Design 36 3.4 Hypothesis 46 3.4.1 Willing to Use (Y1) 46 3.4.2 Willing to Share (Y2) 46 3.4.3 Willing to Pay (Y3, Y4) 46 3.4.4 Persona of Target Consumer 49 3.5 Sampling Procedure 51 CHAPTER 4 RESULTS 52 4.1 Sample Description 52 4.2 Questionnaire Result 62 4.3 Variable Description 86 4.4 Quantitative Analysis 91 CHAPTER 5 ANALYSIS 100 5.1 Market Analysis and Segmentation 100 5.2 Discussion 103 CHAPTER 6 INNOVATIVE BUSINESS MODEL 105 6.1 Innovation Concept 105 6.2 Customer Relationship 108 6.3 Industrial Competition Analysis 119 6.4 Stakeholders Analysis 126 6.5 Intellectual Properties Analysis 128 CHAPTER 7 CONCLUSION 139 REFERENCES 144 zh_TW dc.format.extent 5917297 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0111364112 en_US dc.subject (關鍵詞) 數位醫療 zh_TW dc.subject (關鍵詞) 人工智慧 zh_TW dc.subject (關鍵詞) XR zh_TW dc.subject (關鍵詞) 可行性 zh_TW dc.subject (關鍵詞) 商業模式 zh_TW dc.subject (關鍵詞) 智慧醫療 zh_TW dc.subject (關鍵詞) Digital Health en_US dc.subject (關鍵詞) Artificial Intelligence en_US dc.subject (關鍵詞) XR en_US dc.subject (關鍵詞) Feasibility en_US dc.subject (關鍵詞) Business Model en_US dc.subject (關鍵詞) Smart Healthcare en_US dc.title (題名) AI-based心理健康促進的創新經營模式之市場可行性研究 zh_TW dc.title (題名) The Market Feasibility Analysis of Innovative Business Model for AI-Based Extended Reality (XR) Mental Healthcare Service en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) 1. 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