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| ???org.dspace.app.webui.jsptag.ItemTag.dcfield??? | Value | Language |
|---|---|---|
| dc.contributor.advisor | 唐牧群 | zh_TW |
| dc.contributor.advisor | Mun-Chyun Tang | en |
| dc.contributor.author | 蔡湯慧 | zh_TW |
| dc.contributor.author | Tang-Hui Tsai | en |
| dc.date.accessioned | 2025-08-21T16:44:16Z | - |
| dc.date.available | 2025-08-22 | - |
| dc.date.copyright | 2025-08-21 | - |
| dc.date.issued | 2025 | - |
| dc.date.submitted | 2025-08-06 | - |
| dc.identifier.citation | 朱思齊. (2016). Goldberg's大五因素特質量表國際人格題庫50題範本之繁體中文版發展 (碩士論文, 國立東華大學). 臺灣博碩士論文知識加值系統. https://hdl.handle.net/11296/sgrc52
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/99189 | - |
| dc.description.abstract | 本研究旨在探討Spotify用戶在面對兩種音樂發掘工具（「標籤搜尋」與「每週新發現」）時，其心理偏好屬性對推薦系統效能的影響。研究以音樂涉入程度、音樂自我認同、偏好多樣性與偏好開放性四個心理構面為核心變項，輔以五大人格特質作為補充分析，採用實驗法搭配Spotify API真實聆聽資料與問卷調查，針對144位Spotify用戶進行配對樣本設計。使用者在兩種推薦情境下分別聆聽播放清單並進行評分，研究結合信度分析、因素分析、t檢定、逐步迴歸、線性混合模型與結構方程模型進行統計分析。
結果顯示：「每週新發現」在新穎性、多樣性與驚喜性上明顯優於「標籤搜尋」，但熟悉性與平均歌曲喜好評分則相對較低，兩者在整體滿意度上無顯著差異。熟悉性與播放清單多樣性為滿意度的重要預測因子，而非新穎性。此外，「音樂自我認同」與「每週新發現」具顯著交互作用，顯示音樂在自我建構中扮演關鍵角色之使用者，更能從探索性推薦中獲得正向體驗。而五大人格特質雖具心理解釋力，但在推薦評價上預測力相對較弱。 本研究強調心理屬性在音樂推薦中的調節角色，支持「探索與準確的權衡」理論，並提出「邊界探索」（boundary exploration）概念，作為推薦系統個人化設計的潛在方向。研究亦指出目前推薦演算法之黑箱特性與實驗場域侷限，建議未來可擴大樣本範圍，並進行自然使用情境下之追蹤研究，以提升推薦系統的精準性與使用者接受度。 | zh_TW |
| dc.description.abstract | This study investigates how Spotify users’ psychological preference traits influence their evaluation of two music discovery tools: a seed-based search (representing accuracy-driven recommendations) and Discover Weekly (representing exploration-oriented recommendations). Four music-related psychological constructs—music involvement, music self-identity, preference for diversity, and openness to novelty—were examined, with the Big Five personality traits included as supplementary variables. A within-subject experimental design was conducted with 144 Spotify users, combining survey data with Spotify API listening histories. Participants experienced both discovery tools and evaluated the generated playlists, and results were analyzed using reliability testing, factor analysis, paired t-tests, stepwise regression, linear mixed models, and structural equation modeling (SEM).
Results showed that Discover Weekly outperformed seed-based search on perceived novelty, diversity, and serendipity, but scored lower on familiarity and average track ratings. No significant difference was found in overall satisfaction between the two tools. Familiarity and perceived diversity emerged as significant predictors of satisfaction, while novelty was not. Importantly, music self-identity had a positive moderating effect on the impact of Discover Weekly, suggesting that users who view music as central to their identity derive more value from exploratory recommendations. In contrast, the Big Five traits had weaker associations with recommendation outcomes. The study highlights the moderating role of psychological traits in music recommendation, supporting the theory of balancing familiarity and exploration. The notion of "boundary exploration" is introduced to describe recommendations that expand users’ preferences while maintaining stylistic coherence. Limitations include reliance on college-aged samples, and the experimental setting’s deviation from naturalistic use. The opaque nature of Spotify’s algorithms might introduce confounding variable to our assertation that music self-identity is conducive to openness to personalization. Future research should address these gaps through broader samples and in-situ usage studies to enhance the personalization and acceptance of recommendation systems. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2025-08-21T16:44:16Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2025-08-21T16:44:16Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 摘要……………………………………………………………………. iii
Abstract………………………………………………………………. iv 目次…………………………………………………………………….. vi 圖次…………………………………………………………………. viii 表次…………………………………………………………………. ix 第一章 緒論……………………………………………………… 1 第一節 研究背景與動機…………………………………………... 1 第二節 研究目的與問題…………………………………………... 5 第三節 名詞解釋………………………………………………... 7 第二章 文獻回顧……………………………………………………... 9 第一節 音樂發掘方式……………………………………………... 9 第二節 推薦系統…………………………………………………... 11 第三節 個人心理屬性與推薦系統………………………………... 19 第三章 研究設計與實施……………………………………………... 25 第一節 研究架構………………………………………………... 27 第二節 研究工具…………………………………………………... 29 第三節 研究流程…………………………………………………... 39 第四節 研究對象與研究方法……………………………………... 41 第五節 資料蒐集與分析…………………………………………... 48 第四章 研究結果………………………………………….……... 55 第一節 研究參與者敘述統計…………………………………... 55 第二節 音樂偏好屬性量表分析…………………………………... 56 第三節 推薦方式、播放清單與使用者滿意度之關聯………... 61 第四節 音樂偏好屬性對推薦效能的調節作用……………... 64 第五節 五大人格特質之補充分析……………………………... 67 第五章 結論、研究限制與建議……………………………………... 69 第一節 結論………………………....…………………..……... 69 第二節 研究限制…………………………………………………... 73 第三節 實務與未來研究建議…………………………………... 75 參考文獻………………………………………………………….…… 77 附錄…………………………………………………………………... 87 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | 音樂推薦系統 | zh_TW |
| dc.subject | 心理偏好屬性 | zh_TW |
| dc.subject | Spotify | zh_TW |
| dc.subject | 自我認同 | zh_TW |
| dc.subject | 探索性推薦 | zh_TW |
| dc.subject | 推薦滿意度 | zh_TW |
| dc.subject | 個人化推薦 | zh_TW |
| dc.subject | psychological preferences | en |
| dc.subject | personalization | en |
| dc.subject | user satisfaction | en |
| dc.subject | exploratory recommendation | en |
| dc.subject | self-identity | en |
| dc.subject | Spotify | en |
| dc.subject | music recommender systems | en |
| dc.title | Spotify用戶心理屬性對於不同音樂發掘工具效能的影響 | zh_TW |
| dc.title | The Influence of Spotify Users’ Psychological Attributes on the Effectiveness of Different Music Discovery Tools | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 113-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 吳怡瑾;林頌堅 | zh_TW |
| dc.contributor.oralexamcommittee | I-Chin Wu;Sung-Chien Lin | en |
| dc.subject.keyword | 音樂推薦系統,心理偏好屬性,Spotify,自我認同,探索性推薦,推薦滿意度,個人化推薦, | zh_TW |
| dc.subject.keyword | music recommender systems,psychological preferences,Spotify,self-identity,exploratory recommendation,user satisfaction,personalization, | en |
| dc.relation.page | 92 | - |
| dc.identifier.doi | 10.6342/NTU202503884 | - |
| dc.rights.note | 同意授權(限校園內公開) | - |
| dc.date.accepted | 2025-08-07 | - |
| dc.contributor.author-college | 文學院 | - |
| dc.contributor.author-dept | 圖書資訊學系 | - |
| dc.date.embargo-lift | 2030-08-05 | - |
| Appears in Collections: | 圖書資訊學系 | |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| ntu-113-2.pdf Restricted Access | 2.77 MB | Adobe PDF | View/Open |
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