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題名 自我或與他人競爭?使用競爭遊戲化設計之於社群群眾外包推薦系統
Competing with oneself or with others? Using competitive gamification design in community-based supported recommender system作者 丁乃達
Ding, Nai-Da貢獻者 林怡伶
Lin, Yi-Lin
丁乃達
Ding, Nai-Da關鍵詞 推薦系統
群眾外包
遊戲化
當地社區
上下文
recommender system
context
crowdsourcing
gamification
local community日期 2021 上傳時間 2-Sep-2021 15:57:32 (UTC+8) 摘要 從推薦物品中收集的即時上下文在上下文感知推薦系統中起著重要作用。例如,推薦系統可以通過及時上下文過濾掉尚未營業的餐廳。在這項研究中,我們提出了一種餐廳上下文感知推薦系統,該系統利用當地社區的群眾外包來收集即時上下文。我們設計了多個任務來滿足即時上下文收集的需求。此外,這項研究還討論了群眾外包中的關鍵挑戰,即如何激勵用戶參與。我們通過對擬議系統進行為期兩週的實地研究,比較了自我、社會競爭性遊戲化和混合這兩種遊戲化元素的遊戲化。參與者的反饋粗略地展示了使用當地社區的群眾外包來收集即時信息的可行性。實驗結果表明,混合競技遊戲化設計可以鼓勵高績效用戶和低產出用戶參與更多,而帶有自我競爭元素的遊戲化設計似乎可以激勵用戶完成更廣泛的任務。
Real-time contexts collected from items play important roles in the context-aware recommender system. For example, the recommender system can filter out the restaurants that are not open through the real-time contexts. In this study, we proposed a restaurants context-aware recommender system which harnesses local community crowdsourcing to collect real-time contexts. We design multiple tasks to fulfill the needs of real-time contexts collection. Furthermore, the key challenge in crowdsourcing applications, namely how to motivate users to participate, has also been discussed. We compared self-, social competitive gamification and the gamification that mixed these two gamification elements by conducting a two-week field study of the proposed system. The feedback from participants provides a rough demonstration of the feasibility of using local community crowdsourcing to collect real-time information. 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國立政治大學
資訊管理學系
108356027資料來源 http://thesis.lib.nccu.edu.tw/record/#G0108356027 資料類型 thesis dc.contributor.advisor 林怡伶 zh_TW dc.contributor.advisor Lin, Yi-Lin en_US dc.contributor.author (Authors) 丁乃達 zh_TW dc.contributor.author (Authors) Ding, Nai-Da en_US dc.creator (作者) 丁乃達 zh_TW dc.creator (作者) Ding, Nai-Da en_US dc.date (日期) 2021 en_US dc.date.accessioned 2-Sep-2021 15:57:32 (UTC+8) - dc.date.available 2-Sep-2021 15:57:32 (UTC+8) - dc.date.issued (上傳時間) 2-Sep-2021 15:57:32 (UTC+8) - dc.identifier (Other Identifiers) G0108356027 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/136849 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 資訊管理學系 zh_TW dc.description (描述) 108356027 zh_TW dc.description.abstract (摘要) 從推薦物品中收集的即時上下文在上下文感知推薦系統中起著重要作用。例如,推薦系統可以通過及時上下文過濾掉尚未營業的餐廳。在這項研究中,我們提出了一種餐廳上下文感知推薦系統,該系統利用當地社區的群眾外包來收集即時上下文。我們設計了多個任務來滿足即時上下文收集的需求。此外,這項研究還討論了群眾外包中的關鍵挑戰,即如何激勵用戶參與。我們通過對擬議系統進行為期兩週的實地研究,比較了自我、社會競爭性遊戲化和混合這兩種遊戲化元素的遊戲化。參與者的反饋粗略地展示了使用當地社區的群眾外包來收集即時信息的可行性。實驗結果表明,混合競技遊戲化設計可以鼓勵高績效用戶和低產出用戶參與更多,而帶有自我競爭元素的遊戲化設計似乎可以激勵用戶完成更廣泛的任務。 zh_TW dc.description.abstract (摘要) Real-time contexts collected from items play important roles in the context-aware recommender system. For example, the recommender system can filter out the restaurants that are not open through the real-time contexts. In this study, we proposed a restaurants context-aware recommender system which harnesses local community crowdsourcing to collect real-time contexts. We design multiple tasks to fulfill the needs of real-time contexts collection. Furthermore, the key challenge in crowdsourcing applications, namely how to motivate users to participate, has also been discussed. We compared self-, social competitive gamification and the gamification that mixed these two gamification elements by conducting a two-week field study of the proposed system. The feedback from participants provides a rough demonstration of the feasibility of using local community crowdsourcing to collect real-time information. The results of experiment reveal that mixed competitive gamification design can encourage high preforming users and the user with lower output to engage more, and the gamified design with the self-competitive elements seems to motivate users do a wider variety of tasks. en_US dc.description.tableofcontents Chapter 1 Introduction 1Chapter 2 Related Works 72.1 Context in CARS 72.2 Local community-based crowdsourcing 82.3 Gamification in crowdsourcing 10Chapter 3 Crowdsourcing-based recommendation framework 133.1 User Information Acquisition 133.2 Restaurant Information and Context Acquisition 153.2.1. Restaurant database 153.2.2. Types of collected contexts 163.2.3. Methods of contexts collection 173.2.4. Updating the map 213.3 Implementation of Interactive Recommender System 233.3.1. Recommender system and post-filtering approach 233.3.2. Context enrichment and interactive design 273.4 Incentive Mechanism 28Chapter 4 Experimental Design 324.1 Experimental Procedures 324.2 Measurements 334.2.1. System logs 344.2.2. Questionnaire 34Chapter 5 Analysis and Results 355.1 Behavioral Outcomes 375.2 Post Questionnaire 46Chapter 6 Discussion 486.1 Comparison of gamification design 496.2 Community crowdsourcing CARS 52Chapter 7 Conclusion 537.1 Contributions 547.2 Limitations and future research 55Reference 57Appendix 1 – Questionnaire 67 zh_TW dc.format.extent 2306729 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0108356027 en_US dc.subject (關鍵詞) 推薦系統 zh_TW dc.subject (關鍵詞) 群眾外包 zh_TW dc.subject (關鍵詞) 遊戲化 zh_TW dc.subject (關鍵詞) 當地社區 zh_TW dc.subject (關鍵詞) 上下文 zh_TW dc.subject (關鍵詞) recommender system en_US dc.subject (關鍵詞) context en_US dc.subject (關鍵詞) crowdsourcing en_US dc.subject (關鍵詞) gamification en_US dc.subject (關鍵詞) local community en_US dc.title (題名) 自我或與他人競爭?使用競爭遊戲化設計之於社群群眾外包推薦系統 zh_TW dc.title (題名) Competing with oneself or with others? 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