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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

智慧型互動電視之實驗平台的設計-SITV / An Experimental Platform for Smart Interactive TV-SITV

劉炳億, Liu, Ping-Yi Unknown Date (has links)
近年來,智慧型互動電視是不少數位生活研究的焦點。我們認為,一個好的互動電視系統設計,必須了解使用者觀看電視時的行為與周遭情境。因此,在本研究中,我們以Windows Media Center為基礎,提出一套互動電視的實驗平台系統─「SITV」,希望可輔助我們找出使用者在觀看電視時的行為特徵以及主觀上的需求反應。在SITV上,實驗設計者可以模擬一般有線電視節目的瀏覽方式,安排頻道順序與節目流程,定義電視上的功能,收集使用者的操作資訊,以及整合其他外部應用系統。我們亦設計了幾個實驗來評估我們所設計的電視新功能之效用性,包括新的音量控制方式,快速地檢視最近觀看過的頻道,個人化的節目推薦功能以及幾個具情境感知的應用規則(以電腦視覺技術為主)。我們相信SITV將作為一個創新的實驗平台,可以使得智慧型互動電視的設計更為容易。我們也將持續的進行更多的心理實驗來了解使用者的行為,以及如何設計出有用的電視新功能。 / Smart interactive TV has been the focus of much research on digital life in recent years. We regard that a good design for interactive TV should be based on better understanding of user behaviors and viewing contexts in TV watching. Therefore, in this research, on top of the Windows Media Center, we propose to build an experimental platform called Smart Interactive TV (SITV) to help us find out the characteristics of user behavior and subjective needs when watching the kind of TV. On SITV, designers are allowed to emulate broadcasting programs, schedule the programs, define control functions, collect user interaction data, and incorporate external application systems. We have designed several experiments to evaluate the effectiveness of our new context-aware control functions including volume control, fast retrieval of newly viewed programs, personalized program recommendation, and rule-based context-aware functions by the use of computer vision techniques. We believe that SITV will serve as a novel experiment platform to facilitate the design of smart interactive TV. We will continue to conduct more psychological experiments to better understand user behaviors and how to design effective functions on this kind of TV environment.

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