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  • 學位論文

智慧型互動式播放系統之發展與評估

Development and Evaluation of an Intelligent Interactive System for Digital Presentations

指導教授 : 黃秀美 王淑玲
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摘要


在資訊數位化科技的快速發展下,數位內容呈現愈來愈多樣化。傳統播放數位內容的系統在呈現與控制上,輸出入介面常以鍵盤、滑鼠或觸碰式面板為主,除了容易出現設備損壞及成本花費等問題,對於使用者在學習或是使用上,使用的友善度也有待改進,以致造成使用者在對於多媒體內容的專注力及系統滿意度也普遍較低,因此有了智慧型人機互動系統的發展。本研究重點在於發展出智慧型互動式播放系統。透過網路攝影機(webcam)的協助,結合即時電腦視覺運算與人臉辨識的技術,如Haar-like特徵值與嵌入式隱含馬可夫模型,設計出能藉由人的一些動作或手勢來與系統溝通互動,期望提高使用者對於播放內容的專注力,並藉由人臉辨識的技術,進而提供導覽歷程記錄等個人化功能的智慧型互動式系統。最後,本研究以三層式使用評估模型(three-tier use model, 3-TUM)的系統評估理論為依據設計問卷,並進行實驗測試以評估整體系統。研究結果顯示系統效能與好奇心會影響感覺喜歡,並進而讓使用者對於系統的使用意圖有顯著影響,使用者對於所發展之系統亦感到滿意。最後根據實驗結果,提供智慧型互動式系統開發之建議,並探討其未來延伸研究。

並列摘要


With vigorous development of digital information technology, the presentation of digital content has become more and more diversity of presentations. The traditional input devices for digital presentation often are keyboards, mouses and touchpads. In addition to problems in easy failure and high maintain cost, interface of traditional input devices is unfriendly toward users for learning and handling. Therefore, users have low attentions and low satisfaction in multimedia contents. The purpose of this study attempts to develop a system using webcam, computer vision and face recognition tenologies (such as haar-like features and embedded hidden markov model) for a new real time intelligence interactive system for digital content presentation. Users can interact with the system with using hand gestures and attention. This system is an interactive environment can intelligently detect the user’s movements that a user can manipulate it without physically using other devices. A user can use gesture to choose what he/she interests most in an exhibition and controls contents fast forward or rewind. User’s attention in playing digital materials is expected to promote in this study. In addition, the system combines face recognition to offer a function that can identify a user and collect his/her portfolios. Finally, this study developed a questionnaire based on Three-Tier Use Model (3-TUM) for evaluating the proposed system after experiments. The experimental results show strong relationships between perceived enjoyment variable, curious variable and behavioral intention to use variable. And the proposed system is generally well accepted by users. In the end, this study had issued some suggestions for intelligent interactive system design and for future study.

參考文獻


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