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題名 智慧型互動電視之實驗平台的設計-SITV
An Experimental Platform for Smart Interactive TV-SITV
作者 劉炳億
Liu, Ping-Yi
貢獻者 李蔡彥
Li, Tsai-Yen
劉炳億
Liu, Ping-Yi
關鍵詞 互動電視
模擬電視平台
電視新功能
電視觀看行為
Interactive TV
Emulated TV
New TV Function
TV Watching Behaviors
日期 2007
上傳時間 17-Sep-2009 14:05:21 (UTC+8)
摘要 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.
參考文獻 [1] B. P. Bradley, M. Garner, L. Hudson and K. Mogg, “Influence of negative affect on selective attention to smoking-related cues and urge to smoke in cigarette smokers” Behavioural Pharmacology, 18(4):255-263, 2007.
[2] Y. Blanco-Fernandez, J.J. Pazos-Arias, A. Gil-Solla, M. Ramos-Cabrer, B. Barragans-Martinez, and M. Lopez-Nores, “A Multi-Agent Open Architecture for a TV Recommender System: A Case Study using a Bayesian Strategy,” in Proc. of IEEE Sixth International Symposium on Multimedia Software Engineering, 2004.
[3] Y. Blanco-Fernandez, J.J. Pazos-Arias, A. Gil-Solla, M. Ramos-Cabrer, M. Lopez-Nores and B. Barragans-Martinez, ”AVATAR: Modeling Users by Dynamic Ontologies in a TV Recommender System based on Semantic Reasoning,” in Proc. of the 3rd EuroITV Conference, 2005.
[4] E.M.A. Diederiks, ”Buddies in a Box - Animated Characters in Consumer Electronics,” in Proc. of the 8th international conference on Intelligent user interfaces, pp. 34-38, 2003.
[5] M.J. Darnell, ”How Do People Really Interact With TV? Naturalistic Observations of Digital TV and Digital Video Recorder Users,” in Proc. of ACM Computers in Entertainment, Vol. 5, 2007.
[6] L. Eronen, ”Combining Quantitative and Qualitative Data in User Research on Digital Television,” in Proc. of the 1st Panhellenic Conference with International Participation on Human-Computer Interaction, pp. 51-56, 2001.
[7] Y. Hara, Y. Tomomune and M. Shigemori, “Categorization of Japanese TV Viewers Based on Program Genres They Watch,” in Proc. of User Modeling and User-Adapted Interaction, 14(1):87-117, 2004.
[8] J.B.D.S. Jr., R. Goularte, G.B. Faria and E.D.S. Moreira, ”Modeling of User Interaction in Context-Aware Interactive Television Application on Distributed,” in Proc. of Workshop on Personalization in Future TV, 2001.
[9] J. Kallenbach, S. Narhi and P. Oittinen, ”Effects of Extra Information on TV Viewers’ Visual Attention, Message Processing Ability, and Cognitive Workload,” in Proc. of ACM Computers in Entertainment, Vol. 5, 2007.
[10] B. Ludwig, S. Mandl and S.V. Mammen, ”What’s on tonight - User-centered and Situation-aware Proposals for TV Programmes,” in Proc. of International Conference on Intelligent User Interfaces, pp. 258-260, 2006.
[11] C-H J. Lee, C. Chang, H. Chung, C. Dickie and T. Selker, ”Emotionally Reactive Television,” in Proc. of Intelligent User Interface, 2007.
[12] P.-Y. Liu, H.-W. Lee, T.-Y. Li, S.L. Huang and S.-W. Hsu, “An Experimental Platform Based on MCE for Interactive TV," in Proc. of 6th European Interactive TV Conference , Salzburg, Austria, 2008.
[13] J. Masthoff, “Group Modeling: Selecting a Sequence of Television Items to Suit a Group of Viewers,” in Proc. of User Modeling and User-Adapted Interaction, 14(1):37-85, 2004.
[14] Y. Nakatoh, H. Kuwano, T. Kanamori and M. Hoshimi, ”Speech recognition interface system for digital TV control,” in Proc. of Acoustical Science and Technology, Vol. 28, pp. 165-171, 2007.
[15] D. O’Sullivan, B. Smyth, D.C. Wilson, K. McDonald and A. Smeaton, “Improving the Quality of the Personalized Electronic Program Guide,” in Proc. of User Modeling and User-Adapted Interaction, 14(1): 5-36, 2004.
[16] M. Pantic and L.J.M. Rothkrantz, ”Toward an Affect-Sensitive Multimodal Human-Computer Interaction,” in Proc. of the IEEE, 91(9):1370-1390, 2003.
[17] H. Si, Y. Kawahara, H. and T. Aoyama, ”A Stochastic Approach for Creating Context-Aware Services based on Context Histories in Smart Home,” in Proc. of the 1st International Workshop on Exploiting Context Histories in Smart Environment, 2005.
[18] M.V. Setten and M. Veenstra, ”Prediction Strategies in a TV Recommender System - Method and Experiments,” in Proc. of IADIS WWW/Internet 2003 Conference, 2003.
[19] Z. Yu, X. Zhou, Y. Hao and J. Gu, “TV Program Recommendation for Multiple Viewers Based on user Profile Merging,” in Proc. of User Modeling and User-Adapted Interaction, 16(1):63-82, 2006.
[20] J. Zimmerman and K. Kurapati, “Exposing Profiles to Build Trust in a Recommender,” in Proc. of Conference on Human Factors in Computing Systems, pp. 608-609, 2002.
[21] 劉炳億, 劉家揚, 游鳳怡, 李宏偉, 黃淑麗, 李蔡彥, “以心理學實驗探討互動電視新功能之設計”, in Proc. of 2008 Symposium on Digital Life and Internet Technologies , Tainan.
[22] Coding4Fun：Managed Library for Nintendo`s Wiimote,
http://blogs.msdn.com/coding4fun/archive/2007/03/14/1879033.aspx.
[23] CodeProject：AI – Neural network for beginners (Part1),
http://www.codeproject.com/KB/recipes/NeuralNetwork_1.aspx.
[24] CodeProject：Neural network on c#,
http:// www.codeproject.com/KB/recipes/aforge_neuro.aspx.
[25] TiVo, http://www.tgc-taiwan.com.tw/.
[26] Wiimote, http://en.wikipedia.org/wiki/Wii_Remote.
[27] 中華電信MOD, http://mod.cht.com.tw/MOD/Web/index.php.
[28] 微軟MCE,
http://www.microsoft.com/windows/products/windowsvista/features/details/mediacenter.mspx.
描述 碩士
國立政治大學
資訊科學學系
95753027
96
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0095753027
資料類型 thesis
dc.contributor.advisor 李蔡彥zh_TW
dc.contributor.advisor Li, Tsai-Yenen_US
dc.contributor.author (Authors) 劉炳億zh_TW
dc.contributor.author (Authors) Liu, Ping-Yien_US
dc.creator (作者) 劉炳億zh_TW
dc.creator (作者) Liu, Ping-Yien_US
dc.date (日期) 2007en_US
dc.date.accessioned 17-Sep-2009 14:05:21 (UTC+8)-
dc.date.available 17-Sep-2009 14:05:21 (UTC+8)-
dc.date.issued (上傳時間) 17-Sep-2009 14:05:21 (UTC+8)-
dc.identifier (Other Identifiers) G0095753027en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/32701-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 資訊科學學系zh_TW
dc.description (描述) 95753027zh_TW
dc.description (描述) 96zh_TW
dc.description.abstract (摘要) 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。zh_TW
dc.description.abstract (摘要) 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.en_US
dc.description.tableofcontents 第一章 導論 1
1.1 研究動機 1
1.2 研究議題與目標 3
1.3 研究工作與論文貢獻 6
1.4 論文之章節結構 8
第二章 相關背景與研究 9
2.1 Windows Media Center介紹 9
2.2 其他互動電視平台現況 11
2.3 互動電視相關議題研究 12
2.3.1 人與電視的互動行為觀察 12
2.3.2 電視介面的探討與設計 13
2.3.3 個人化的電視服務 14
第三章 SITV實驗平台總覽 17
3.1 系統架構 17
3.2 Media Center程式介面架構 20
3.2.1 播放多媒體檔案 22
3.2.2 控制音量 23
3.2.3 基本UI設計的例子 24
3.3 不同觀看模式的支援 27
3.4 節目流程設計 28
3.4.1 節目資料庫的設計 28
3.4.2 產生節目表的模組元件 30
第四章 SITV功能元件及應用 33
4.1 音量功能元件 33
4.2 Prior-N功能元件 40
4.3 節目推薦功能元件 42
4.3.1 以個人化偏好為基礎的推薦 45
4.3.2 以節目類型為基礎的推薦 49
4.4 使用者影像處理元件及應用 49
4.4.1 人臉偵測與辨識元件 50
4.4.2 動作偵測元件 52
4.4.3 以電腦視覺技術為基礎的使用者狀態判斷規則 53
4.5 以WiiMote表達負面情緒的應用機制 56
第五章 實驗記錄機制與工具 62
5.1 SITV應用程式的內部實驗記錄機制 63
5.2 電視實驗外部記錄與檢視工具 64
第六章 音量調整與頻道選台的新功能效用實驗 68
6.1 實驗一：音量調整實驗 69
6.1.1 音量模式介紹 69
6.1.2 實驗方法 69
6.1.3 實驗結果與討論 70
6.2 實驗二：頻道切換實驗 74
6.2.1 Prior-N功能介紹 74
6.2.2 實驗方法 75
6.2.3 實驗結果與討論 76
第七章 考量情境因素的電視功能需求實驗 80
7.1 實驗三：個人情緒與節目偏好的觀察實驗 81
7.1.1 情緒引發程序的前測 81
7.1.2 實驗方法 82
7.1.3 實驗結果與討論 83
7.2 實驗四：以情境感知為基礎的電視互動功能設計 90
7.2.1 需求問題與解決方案 90
7.2.2 實驗方法 91
7.2.3 實驗結果與討論 97
第八章 結論與未來發展 102
8.1 結論 102
8.2 未來發展 103
參考文獻 104
附錄一：情緒引發程序的指導語 108		zh_TW
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dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0095753027en_US
dc.subject (關鍵詞) 互動電視zh_TW
dc.subject (關鍵詞) 模擬電視平台zh_TW
dc.subject (關鍵詞) 電視新功能zh_TW
dc.subject (關鍵詞) 電視觀看行為zh_TW
dc.subject (關鍵詞) Interactive TVen_US
dc.subject (關鍵詞) Emulated TVen_US
dc.subject (關鍵詞) New TV Functionen_US
dc.subject (關鍵詞) TV Watching Behaviorsen_US
dc.title (題名) 智慧型互動電視之實驗平台的設計-SITVzh_TW
dc.title (題名) An Experimental Platform for Smart Interactive TV-SITVen_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) [1] B. P. Bradley, M. Garner, L. Hudson and K. Mogg, “Influence of negative affect on selective attention to smoking-related cues and urge to smoke in cigarette smokers” Behavioural Pharmacology, 18(4):255-263, 2007.zh_TW
dc.relation.reference (參考文獻) [2] Y. Blanco-Fernandez, J.J. Pazos-Arias, A. Gil-Solla, M. Ramos-Cabrer, B. Barragans-Martinez, and M. Lopez-Nores, “A Multi-Agent Open Architecture for a TV Recommender System: A Case Study using a Bayesian Strategy,” in Proc. of IEEE Sixth International Symposium on Multimedia Software Engineering, 2004.zh_TW
dc.relation.reference (參考文獻) [3] Y. Blanco-Fernandez, J.J. Pazos-Arias, A. Gil-Solla, M. Ramos-Cabrer, M. Lopez-Nores and B. Barragans-Martinez, ”AVATAR: Modeling Users by Dynamic Ontologies in a TV Recommender System based on Semantic Reasoning,” in Proc. of the 3rd EuroITV Conference, 2005.zh_TW
dc.relation.reference (參考文獻) [4] E.M.A. Diederiks, ”Buddies in a Box - Animated Characters in Consumer Electronics,” in Proc. of the 8th international conference on Intelligent user interfaces, pp. 34-38, 2003.zh_TW
dc.relation.reference (參考文獻) [5] M.J. Darnell, ”How Do People Really Interact With TV? Naturalistic Observations of Digital TV and Digital Video Recorder Users,” in Proc. of ACM Computers in Entertainment, Vol. 5, 2007.zh_TW
dc.relation.reference (參考文獻) [6] L. Eronen, ”Combining Quantitative and Qualitative Data in User Research on Digital Television,” in Proc. of the 1st Panhellenic Conference with International Participation on Human-Computer Interaction, pp. 51-56, 2001.zh_TW
dc.relation.reference (參考文獻) [7] Y. Hara, Y. Tomomune and M. Shigemori, “Categorization of Japanese TV Viewers Based on Program Genres They Watch,” in Proc. of User Modeling and User-Adapted Interaction, 14(1):87-117, 2004.zh_TW
dc.relation.reference (參考文獻) [8] J.B.D.S. Jr., R. Goularte, G.B. Faria and E.D.S. Moreira, ”Modeling of User Interaction in Context-Aware Interactive Television Application on Distributed,” in Proc. of Workshop on Personalization in Future TV, 2001.zh_TW
dc.relation.reference (參考文獻) [9] J. Kallenbach, S. Narhi and P. Oittinen, ”Effects of Extra Information on TV Viewers’ Visual Attention, Message Processing Ability, and Cognitive Workload,” in Proc. of ACM Computers in Entertainment, Vol. 5, 2007.zh_TW
dc.relation.reference (參考文獻) [10] B. Ludwig, S. Mandl and S.V. Mammen, ”What’s on tonight - User-centered and Situation-aware Proposals for TV Programmes,” in Proc. of International Conference on Intelligent User Interfaces, pp. 258-260, 2006.zh_TW
dc.relation.reference (參考文獻) [11] C-H J. Lee, C. Chang, H. Chung, C. Dickie and T. Selker, ”Emotionally Reactive Television,” in Proc. of Intelligent User Interface, 2007.zh_TW
dc.relation.reference (參考文獻) [12] P.-Y. Liu, H.-W. Lee, T.-Y. Li, S.L. Huang and S.-W. Hsu, “An Experimental Platform Based on MCE for Interactive TV," in Proc. of 6th European Interactive TV Conference , Salzburg, Austria, 2008.zh_TW
dc.relation.reference (參考文獻) [13] J. Masthoff, “Group Modeling: Selecting a Sequence of Television Items to Suit a Group of Viewers,” in Proc. of User Modeling and User-Adapted Interaction, 14(1):37-85, 2004.zh_TW
dc.relation.reference (參考文獻) [14] Y. Nakatoh, H. Kuwano, T. Kanamori and M. Hoshimi, ”Speech recognition interface system for digital TV control,” in Proc. of Acoustical Science and Technology, Vol. 28, pp. 165-171, 2007.zh_TW
dc.relation.reference (參考文獻) [15] D. O’Sullivan, B. Smyth, D.C. Wilson, K. McDonald and A. Smeaton, “Improving the Quality of the Personalized Electronic Program Guide,” in Proc. of User Modeling and User-Adapted Interaction, 14(1): 5-36, 2004.zh_TW
dc.relation.reference (參考文獻) [16] M. Pantic and L.J.M. Rothkrantz, ”Toward an Affect-Sensitive Multimodal Human-Computer Interaction,” in Proc. of the IEEE, 91(9):1370-1390, 2003.zh_TW
dc.relation.reference (參考文獻) [17] H. Si, Y. Kawahara, H. and T. Aoyama, ”A Stochastic Approach for Creating Context-Aware Services based on Context Histories in Smart Home,” in Proc. of the 1st International Workshop on Exploiting Context Histories in Smart Environment, 2005.zh_TW
dc.relation.reference (參考文獻) [18] M.V. Setten and M. Veenstra, ”Prediction Strategies in a TV Recommender System - Method and Experiments,” in Proc. of IADIS WWW/Internet 2003 Conference, 2003.zh_TW
dc.relation.reference (參考文獻) [19] Z. Yu, X. Zhou, Y. Hao and J. Gu, “TV Program Recommendation for Multiple Viewers Based on user Profile Merging,” in Proc. of User Modeling and User-Adapted Interaction, 16(1):63-82, 2006.zh_TW
dc.relation.reference (參考文獻) [20] J. Zimmerman and K. Kurapati, “Exposing Profiles to Build Trust in a Recommender,” in Proc. of Conference on Human Factors in Computing Systems, pp. 608-609, 2002.zh_TW
dc.relation.reference (參考文獻) [21] 劉炳億, 劉家揚, 游鳳怡, 李宏偉, 黃淑麗, 李蔡彥, “以心理學實驗探討互動電視新功能之設計”, in Proc. of 2008 Symposium on Digital Life and Internet Technologies , Tainan.zh_TW
dc.relation.reference (參考文獻) [22] Coding4Fun：Managed Library for Nintendo`s Wiimote,zh_TW
dc.relation.reference (參考文獻) http://blogs.msdn.com/coding4fun/archive/2007/03/14/1879033.aspx.zh_TW
dc.relation.reference (參考文獻) [23] CodeProject：AI – Neural network for beginners (Part1),zh_TW
dc.relation.reference (參考文獻) http://www.codeproject.com/KB/recipes/NeuralNetwork_1.aspx.zh_TW
dc.relation.reference (參考文獻) [24] CodeProject：Neural network on c#,zh_TW
dc.relation.reference (參考文獻) http:// www.codeproject.com/KB/recipes/aforge_neuro.aspx.zh_TW
dc.relation.reference (參考文獻) [25] TiVo, http://www.tgc-taiwan.com.tw/.zh_TW
dc.relation.reference (參考文獻) [26] Wiimote, http://en.wikipedia.org/wiki/Wii_Remote.zh_TW
dc.relation.reference (參考文獻) [27] 中華電信MOD, http://mod.cht.com.tw/MOD/Web/index.php.zh_TW
dc.relation.reference (參考文獻) [28] 微軟MCE,zh_TW
dc.relation.reference (參考文獻) http://www.microsoft.com/windows/products/windowsvista/features/details/mediacenter.mspx.zh_TW