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標題: | 設計解決複雜的創造性任務 Designing for Complex Creative Task Solving |
作者: | Yi-Ching Huang 黃怡靜 |
指導教授: | 許永真 |
關鍵字: | 解決創造性任務,線上回饋交換,創造性學習,群眾外包,群眾回饋, creative task solving,online feedback exchange,creative learning,crowdsourcing,crowd feedback, |
出版年 : | 2018 |
學位: | 博士 |
摘要: | 創造性任務因沒有正確答案且缺乏標準定義,讓許多人感到非常棘手,通常需要投入大量時間與精力去學習並精進專業知識與技能,才能夠完成此種任務。而且,在解決問題的過程中,必須取得外部回饋,並且透過不斷的迭代修改才能夠獲取高品質的結果。許多研究者已經能夠利用網路系統串連提供者與使用者,取得即時的外部回饋,幫助使用者完成任務。然而,大部分的研究只專注於回饋內容的改進,而忽略了最重要的目的,在於如何在此過程中輔助使用者學習,並有效的完成任務。所以,目的包含了獲得高品質的結果以及提高學習成效。此博士論文提出了一個解決創造性任務的迭代循環回饋的框架,分別探討產生有效且高品質回饋的生成機制以及有效整合回饋輔助編輯的方法,來促進有效的學習行為以及創造良好的使用經驗。我們設計與開發了一系列的智慧型回饋系統,運用群眾與機器合作的力量來幫助使用者快速取得符合需求的高品質寫作建議,並透過結構化的設計,引導他們有效地進行編輯,同時精進專業能力與提升作品品質。未來,在我們提出的互動回饋框架中,機器將擔任協調者與合作者的角色,根據使用者的偏好與行為,提供適當的回饋與引導,促進人與人以及人與機器良好的互動,一起合作完成困難的創造性任務。 Performing creative tasks is challenging, for such tasks are typically open-ended and ill-defined. To solve these complex problems, people need to spend much time and effort to learn professional skills and improve the in-progress work through an iterative process. Feedback is a critical component of this process for helping people discover errors and iterate toward better solutions. To meet the demand of timely feedback, recent work has explored technologies to connect problem solvers with feedback providers online. However, most research focuses on improving the content of feedback, but neglects the most important aspect of how to support problem solvers to learn and effectively facilitate the creation of high-quality outcome. In this dissertation, we explore several ways to support not only feedback generation but also feedback integration process, focusing on the writing tasks. We designed and developed intelligent systems that leverage the power of crowd and machines to support writers for obtaining effective feedback and facilitating good revision behaviors in the process. First, we start with our crowd-powered feedback system, StructFeed, and demonstrate a crowdsourcing approach for generating useful feedback to help writers resolve high-level writing issues in their revisions. Next, we propose feedback orchestration, which guides writers to resolve writing issues in a particular workflow by orchestrating feedback presentation. In the future, we would create an iterative feedback framework that enables collaboration between authors and feedback providers. Authors and feedback providers could benefit from this framework and collaboratively accomplish the complex creative tasks. The system would be regarded as a mediator for generating an ensemble of feedback from diverse feedback providers and for orchestrating feedback presentation to guide authors to achieve high revision performance based on individual needs. |
URI: | http://tdr.lib.ntu.edu.tw/handle/123456789/1234 |
DOI: | 10.6342/NTU201800935 |
全文授權: | 同意授權(全球公開) |
顯示於系所單位: | 資訊網路與多媒體研究所 |
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