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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 畢南怡 | zh_TW |
| dc.contributor.advisor | Nan-Yi Bi | en |
| dc.contributor.author | 周佳瑩 | zh_TW |
| dc.contributor.author | Chia-Ying Chou | en |
| dc.date.accessioned | 2025-02-13T16:18:06Z | - |
| dc.date.available | 2025-02-14 | - |
| dc.date.copyright | 2025-02-13 | - |
| dc.date.issued | 2024 | - |
| dc.date.submitted | 2025-02-07 | - |
| dc.identifier.citation | R. H. Barcelos, D. C. Dantas, and S. Sénécal. Watch your tone: How a brand's tone of voice on social media influences consumer responses. Journal of Interactive Marketing, 41:60–80, Feb 2018.
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/96400 | - |
| dc.description.abstract | 隨著大型語言模型驅動的聊天機器人技術進步，對話的流暢性和靈活性顯著提升，使其在指導角色上展現出巨大潛力，然而，如何建立使用者與聊天機器人之間的信任以及提升使用者感受仍是重要的議題。本研究探討了聊天機器人的對話風格、定製化外觀和命名對使用者信任與感受的影響，特別是在指導薪資談判的情境下。研究結果顯示，非正式對話風格的聊天機器人能增強使用者的信任、社會臨場感、溫暖、享受和使用意圖，並且女性受測者對於非正式對話風格的效果更為顯著。相較之下，在定製化聊天機器人的外觀和命名方面，未發現信任和其他感受上有顯著差異。儘管如此，我們發現頭像的性別和衣著特徵會影響男性使用者的信任與感受。本研究證實了在指導薪資談判的情境下，聊天機器人的對話風格以及頭像特徵對於使用者感受的影響，並結合質化分析結果，提供了對於對話風格和定製化聊天機器人設計的改進建議。這些發現為未來設計和應用聊天機器人提供參考，幫助設計者創造更符合使用者需求和提升信任感的聊天機器人。 | zh_TW |
| dc.description.abstract | With the advancement of chatbot technology driven by large language models, the fluency and flexibility of conversations have significantly improved, showcasing great potential in advisory roles. However, building trust between users and chatbots and enhancing user perceptions remain critical issues. This study explores the impact of chatbot conversation styles, personalized appearances, and naming on user trust and perceptions, particularly in the context of guiding salary negotiations.
The results indicate that informal conversation styles in chatbots can enhance user trust, social presence, warmth, enjoyment, and intention to use, with female participants showing a more pronounced effect. In contrast, we found no significant differences in trust and other perceptions regarding the personalized appearance and naming of chatbots. Nevertheless, we discovered that the gender and attire characteristics of avatars influence male users' trust and perceptions. This study confirms the impact of conversation styles and avatar characteristics on user perceptions in the context of guiding salary negotiations. Combining qualitative analysis results, we provide recommendations for improving conversation styles and personalizing chatbot designs. These findings offer valuable insights for the future design and application of chatbots, helping designers create systems that better meet user needs and enhance trust. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2025-02-13T16:18:06Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2025-02-13T16:18:06Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | Acknowledgements i
摘要 iii Abstract v Contents vii List of Figures xi List of Tables xiii Chapter 1 Introduction 1 1.1 Background and Motivation 1 1.2 Objectives 4 Chapter 2 Literature Review 7 2.1 Chatbots and Conversational Agent 7 2.2 Trust in Chatbots 8 2.3 Conversational Style of Chatbots 9 2.3.1 Conversational Style and Trust 10 2.3.2 Conversational Style and Social Presence 11 2.3.3 Conversational Style and Warmth 12 2.3.4 Conversational Style and Competence 12 2.3.5 Conversational Style and Enjoyment 13 2.3.6 Conversational Style and Intention to Use 13 2.4 Personalization of Avatar 14 2.4.1 Personalization and Trust 15 2.4.2 Personalization and Social Presence 15 2.4.3 Personalization and Warmth 16 2.4.4 Personalization and Competence 16 2.4.5 Personalization and Enjoyment 17 2.4.6 Personalization and Intention to Use 17 Chapter 3 Methodology 19 3.1 Procedure 19 3.2 Participants 21 3.3 Conditions 22 3.4 Materials 22 3.4.1 Creation of Avatar of Chatbots 22 3.4.2 Conversational Style of Chatbots 23 3.4.3 Interface of Chat Room 24 3.5 Measurement 25 3.5.1 Pre-Test Questionnaire 25 3.5.2 Primary Questionnaire 26 3.5.2.1 Basic Questions and Learning Outcome Assessment 26 3.5.2.2 Perception Questions 26 3.5.2.3 Demographic Questions 28 3.5.3 Interview 28 Chapter 4 Results 31 4.1 Data Collection and Data Processing 31 4.1.1 Data Collection 31 4.1.2 Data Processing 31 4.1.2.1 Attention Check 31 4.1.2.2 Manipulation Check 32 4.2 Descriptive Analysis 32 4.3 Quantitative Analysis 34 4.3.1 Reliability and Validity Analysis 34 4.3.2 Results 35 4.3.2.1 Gender Differences in Conversational Style 39 4.3.2.2 Gender Differences in Avatar Feature 40 4.3.2.3 Participants’ Imagination of Avatar and Conversational Style 41 4.4 Qualitative Analysis 42 4.4.1 Trust Levels in Chatbots 42 4.4.2 Perspectives on Conversational Styles 43 4.4.3 Views on Chatbots as Salary Negotiation Guides 45 Chapter 5 Discussion 49 5.1 Implications 49 5.1.1 The Impact of Avatar Creation and Characteristics on User Perceptions in Chatbots 49 5.1.2 The Impact of Conversational Style on User Perceptions in Chatbots 52 5.1.3 Gender Differences in Conversational Styles 55 5.1.4 Exploring Chatbots as Guides 55 5.2 Limitations and Future Direction 56 5.2.1 Chatbot Design 56 5.2.2 Experiment Design 58 5.2.3 Participant Demographics 59 Chapter 6 Conclusion 61 References 63 Appendix A — Pre-Test Questionnaire 73 A.1 Questionnaire 73 Appendix B — Primary Questionnaire 75 B.1 Basic Questions 75 B.2 Learning Outcome Assessment 76 B.3 Perception Questions 76 B.3.1 Trust 76 B.3.2 Social Presence 77 B.3.3 Warmth 77 B.3.4 Competence 77 B.3.5 Enjoyment 78 B.3.6 Intention to Use 78 B.4 Demographic Questions 78 Appendix C — Interview 83 C.1 Outline 83 | - |
| dc.language.iso | en | - |
| dc.subject | 信任 | zh_TW |
| dc.subject | 定製化 | zh_TW |
| dc.subject | 對話風格 | zh_TW |
| dc.subject | 聊天機器人 | zh_TW |
| dc.subject | Trust | en |
| dc.subject | Chatbot | en |
| dc.subject | Conversational Style | en |
| dc.subject | Personalization | en |
| dc.title | 聊天機器人對話風格與定製化對使用者感受之影響:以薪資談判為例 | zh_TW |
| dc.title | Impact of Chatbot Conversational Style and Personalization on User Perception: The Case of Salary Negotiation | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 113-1 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 彭志宏;袁千雯 | zh_TW |
| dc.contributor.oralexamcommittee | Chih-Hung Peng;Chien-Wen Yuan | en |
| dc.subject.keyword | 聊天機器人,對話風格,定製化,信任, | zh_TW |
| dc.subject.keyword | Chatbot,Conversational Style,Personalization,Trust, | en |
| dc.relation.page | 83 | - |
| dc.identifier.doi | 10.6342/NTU202500306 | - |
| dc.rights.note | 同意授權(限校園內公開) | - |
| dc.date.accepted | 2025-02-07 | - |
| dc.contributor.author-college | 管理學院 | - |
| dc.contributor.author-dept | 資訊管理學系 | - |
| dc.date.embargo-lift | 2025-02-14 | - |
| 顯示於系所單位： | 資訊管理學系 | |
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