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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 柯冠州 | zh_TW |
| dc.contributor.advisor | Kuan-Chou Ko | en |
| dc.contributor.author | 何則文 | zh_TW |
| dc.contributor.author | Wenzel Herder | en |
| dc.date.accessioned | 2025-08-21T16:45:01Z | - |
| dc.date.available | 2025-08-22 | - |
| dc.date.copyright | 2025-08-21 | - |
| dc.date.issued | 2025 | - |
| dc.date.submitted | 2025-08-01 | - |
| dc.identifier.citation | Adams, F., & Aizawa, K. (2001). The bounds of cognition. Philosophical Psychology, 14(1), 43–64. https://doi.org/10.1080/09515080120033571
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/99192 | - |
| dc.description.abstract | 本研究探討生成式人工智慧（Generative AI）於組織決策中扮演不同社會角色所帶來的團隊互動效果。透過2×2因素實驗設計，操作AI的互動模式（個人助理 vs. 團隊協作者）與批判來源（人類反思 vs. AI回饋），共61位來自不同背景的參與者進行模擬決策任務。結果顯示，當AI被定位為「團隊協作者」時，顯著提升團隊參與度、討論效率與AI信任感，尤其在人類反思作為批判機制時，效果最為明顯。基於此，本研究提出「AI社會嵌入理論（AISET）」，指出AI若被視為具互動性、情境適應力與社會連結感的參與者，將有助於激發團隊動能並優化協作流程。研究對教育與企業實務皆具啟發性，建議未來AI應設計為具備社會互動能力的團隊成員角色，以提升組織內部決策的效率與創造力。 | zh_TW |
| dc.description.abstract | This study examines how the social role framing of generative AI influences team dynamics in organizational decision-making. Using a 2×2 factorial experimental design, 61 participants engaged in simulated strategy discussions under varying conditions of AI interaction (Personal Assistant vs. Team Collaborator) and critique source (Human Reflection vs. GPT Feedback). Results show that when GPT is framed as a Team Collaborator, participants report significantly higher levels of team involvement, discussion efficiency, and trust in AI—particularly when critique is provided through human reflection. To explain these effects, the study proposes the AI Social Embeddedness Theory (AISET), which conceptualizes AI as a socially embedded actor characterized by interactivity, contextual adaptability, and relational integration. Findings suggest that AI framed as an active team member can enhance cognitive engagement and collaborative performance. The research offers practical insights for both educational and organizational settings, encouraging the design of AI systems that support socially aware, team-oriented interaction patterns to improve decision-making quality and innovation potential. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2025-08-21T16:45:01Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2025-08-21T16:45:01Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | Table of Contents
Dedication / Acknowledgements i 中文摘要 ii Abstract iii Table of Contents iv List of Tables and Figures vii Chapter 1. Introduction 1 1.1 Background and Context 1 1.2 Definitions of AI Roles 2 1.3 Problem Statement and Research Objectives 4 Chapter 2 Literature Review 7 2.1 AI's Impact on Human Cognition in Organizational Settings 7 2.2 The Cognitive Risks of Over-Reliance on AI 9 2.3 Trust Challenges in Human-AI Collaboration at Work 10 2.4 Evolving Roles of AI 12 2.5 Future Directions in Human-AI Teaming 13 2.6 Synthesis and Research Implications 14 Chapter 3 Method 16 3.1 Research Design 16 3.1.1 Independent Variable One: GPT Interaction Mode 17 3.1.2 Independent Variable Two: Critique Method 18 3.2 Research Participants 18 3.2.1 Age Structure 19 3.2.2 Nationality Distribution 19 3.2.3 Academic Background 20 3.2.4 Industry Background 20 3.3 Research Tools 21 3.4 Research Procedures 26 3.5 Data Analysis Methods 29 Chapter 4 Research Findings and Analysis 30 4.1 Descriptive Statistical Analysis 30 4.2 Inferential Statistical Analysis 32 4.2.1 Involvement: Collaborative Role Enhances Engagement 34 4.2.2 Satisfaction: Significant Improvement in Collaborative Mode 35 4.2.3 Discussion Efficiency: Superior Performance in Collaborative Mode 35 4.2.4 Trust in GPT: Collaborative Mode Fosters Greater Trust 36 4.3 In-Depth Inferential Analysis 36 4.3.1 Key Finding: Superiority of Collaborative Mode (Mode B) 36 4.3.2 Exploring Trust: Key Drivers of Enhanced Trust 37 4.3.3 Secondary Analysis: Ruling Out Confounding Factors 37 4.3.4 Post-Hoc Comparisons 38 4.4 Qualitative Findings 38 4.4.1 Theme 1: Information Organization and Efficiency Enhancement 42 4.4.2 Theme 2: Idea Generation and Innovation Stimulation 42 4.4.3 Theme 3: Improving Credibility and Accuracy 42 4.4.4 Theme 4: Enhancing Interactivity and Adaptability 43 4.4.5 Theme 5: Promoting More Creativity and Avoiding Limitations 43 4.5 Conclusion 44 Chapter 5 Discussion 48 5.1 Research Summary 48 5.2 Theoretical Contribution: AI Social Embeddedness Theory (AISET) 49 5.2.1 Introduction: Why a New Theoretical Lens? 49 5.2.2 Core Constructs and Definitions of AISET 49 5.2.3 Underlying Mechanisms of AISET 50 5.2.4 Preliminary Evidence from the Current Study 51 5.2.5 Theoretical Distinction and Contribution of AISET 52 5.3 Practical Applications 52 5.4 Limitations and Future Directions 53 5.5 Conclusion 54 Reference 55 | - |
| dc.language.iso | en | - |
| dc.subject | 團隊協作模式 | zh_TW |
| dc.subject | 生成式人工智慧 | zh_TW |
| dc.subject | 信任建立 | zh_TW |
| dc.subject | 組織決策 | zh_TW |
| dc.subject | AI社會嵌入 | zh_TW |
| dc.subject | AI social embeddedness | en |
| dc.subject | organizational decision-making | en |
| dc.subject | trust formation | en |
| dc.subject | team collaboration dynamics | en |
| dc.subject | generative AI | en |
| dc.title | 從助理到協作者: 生成式 AI 在人機協作智慧決策中的角色 | zh_TW |
| dc.title | From Assistant to Collaborator: The Role of Generative AI in Hybrid Intelligence Decision-Making | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 113-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 陳譽仁;林嘉薇 | zh_TW |
| dc.contributor.oralexamcommittee | Yu-Ren Chen;Chia-Wei Lin | en |
| dc.subject.keyword | 生成式人工智慧,團隊協作模式,AI社會嵌入,組織決策,信任建立, | zh_TW |
| dc.subject.keyword | generative AI,team collaboration dynamics,AI social embeddedness,organizational decision-making,trust formation, | en |
| dc.relation.page | 61 | - |
| dc.identifier.doi | 10.6342/NTU202502717 | - |
| dc.rights.note | 同意授權(全球公開) | - |
| dc.date.accepted | 2025-08-06 | - |
| dc.contributor.author-college | 管理學院 | - |
| dc.contributor.author-dept | 企業管理碩士專班 | - |
| dc.date.embargo-lift | 2025-08-22 | - |
| 顯示於系所單位： | 管理學院企業管理專班(Global MBA) | |
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