English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 96163/126772 (76%)
Visitors : 32209392      Online Users : 261
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 理學院 > 資訊科學系 > 學位論文 >  Item 140.119/76222
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/76222


    Title: 藉由地緣情感關係連結之群眾打卡資訊建⽴立個⼈人⽣生命記憶
    Construct Personal Lifelog by Check-in Information from Location-based Emotion Connected Crowd
    Authors: 王怡婷
    Wang, Yi Ting
    Contributors: 郭正佩
    Kuo, Pei Jeng
    王怡婷
    Wang, Yi Ting
    Keywords: 個人生命記憶典藏
    打卡
    適地性服務
    群眾外包‭ ‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
    personal archiving
    check in
    location-based service
    crowdsourcing
    Date: 2014
    Issue Date: 2015-07-01 14:53:30 (UTC+8)
    Abstract: 生活於行動網絡與社群網站發展快速的今日,人們逐漸依賴利用隨手可得之行動裝置紀錄生活,打卡儼然成為生命紀錄的方式之一。本研究致力於提供使用者個人化之打卡系統,讓使用者在選用群眾所推薦的地理標籤名稱之餘,同時保有個人化情感傾向特色之地理標籤名稱。透過基於地緣情感關係連結之群眾推薦地理標籤名稱,我們提供更貼近使用者個人情感偏好之地理標籤,讓使用者在省下自行建立個人化地理標籤名稱上的繁瑣程序的同時,還能同時保有個人化特色,更能夠作為未來回憶時之線索。在實驗設計上,我們邀請共二十八位受試者使用本研究所開發之打卡系統,利用三週的時間真實模擬生活中的打卡情況。我們分析受試者進行打卡時所選用的地理標籤名稱來源作為評估之依據,透過實驗結果顯示基於地緣情感關係連結之群眾推薦地理標籤名稱模型,能夠推薦較適合的地理標籤名稱給使用者使用。因此本研究有效利用特定群眾之力量協助使用者建立個人化之地理資訊。
    In the present, people used to have one or more mobile devices. With the mobile devices thriving, the social network is also getting more popular. People rely on the mobile devices or social network to record their lives—“Check in” is becoming a kind of “lifelog”. Our research provides user a customized check in system, which can free users from the troublesome procedures, naming the geotag by their own, meanwhile; they can still have their own style. Furthermore, this customized name of geotag will be the hint to their memory in the future. When it comes to the experiment, we have 28 users experience our check in system, and we spent three weeks to simulate the situation of check in in the real life. We analyze the users’ name of geotag and use it as the result to estimate. According to the result of our experiment, the Location-Based Emotion Connected model can recommend a better name of geotag to the users. Consequently, our research the effective help people to construct personalizes geographic information.
    Reference: 1. G. Bell, “A personal digital store,” Commun. ACM, vol. 44, pp. 86–91, 2001.
    2. Bush, Vannevar, and As We May Think. "The atlantic monthly." As We May Think 176.1 (1945): 101-108.
    3. Gemmell, G. Bell, and R. Lueder, “MyLifeBits: a personal database for everything,” Commun. ACM, vol. 49, no. 1, pp. 88–95, 2006.
    4. Nick Bilton, I Live in the Future & Here's How It Works: Why Your World, Work & Brain Are Being Creatively Disrupted. Random House, 2010.
    5. Clifford Nass, A conversation about our evolving relationship with technology and the dangers of multitasking. Eva Valenti, 2011.
    6. Humphreys, L. Mobile social networks and urban public space. New Media & Society, 12 (5), 763-778. 2010
    7. J. Lanier, You are Not a Gadget: A Manifesto. Alfred A. Knopf, 2010.
    8. Donald Norman, Turn Signals are the Facial Expression of Automobiles. Addison Wesley, 1992.
    9. Gemmell, G. Bell, and R. Lueder, “MyLifeBits: a personal database for everything,” Commun. ACM, vol. 49, no. 1, pp. 88–95, 2006.
    10. C. G. Bell and J. Gemmell, Total Recall: How the E-Memory Revolution Will Change Everything. Dutton, 2009.
    11. C. C. Marshall, “Challenges and Opportunities for Personal Digital Archiving.”,” Digit. Pers. Collect. Digit. Era, pp. 90–114, 2011.
    12. I. Cole, “Human aspects of office filing: Implications for the electronic office,” in Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 1982, vol. 26, no. 1, pp. 59–63.
    13. D. Barreau and B. A. Nardi, “Finding and Reminding: File Organization from the Desktop,” SIGCHI Bull., vol. 27, no. 3, pp. 39–43, 1995.
    14. D. Barreau, “The persistence of behavior and form in the organization of personal information,” J. Am. Soc. Inf. Sci. Technol., vol. 59, no. 2, pp. 307–317, 2008.
    15. P. Galloway, “I, Digital: Personal Collections in the Digital Era. Edited by Christopher A. Lee,” J. Am. Soc. Inf. Sci. Technol., vol. 63, no. 6, pp. 1278– 1279, 2012.
    16. G. J. F. Jones, C. Gurrin, L. Kelly, D. Byrne, and Y. Chen, “Information access tasks and evaluation for personal lifelogs,” 2008.
    17. Dobbins, M. Merabti, P. Fergus, and D. Llewellyn-Jones, “Creating human digital memories for a richer recall of life experiences,” Networking, Sensing and Control (ICNSC), 2013 10th IEEE International Conference on. pp. 246–251, 2013.
    18. C. Dobbins, M. Merabti, P. Fergus, and D. Llewellyn-Jones, “Creating human digital memories with the aid of pervasive mobile devices,” Pervasive Mob. Comput., vol. 12, pp. 160–178, 2014.
    19. C. Dobbins, M. Merabti, P. Fergus, and D. Llewellyn-Jones, “Capturing Human Digital Memories for Assisting Memory Recall,” in Advances in Physiological Computing, Springer London, 2014, pp. 211–234.
    20. Vemuri, S., Schmandt, C., & Bender, W., “iRemember: a personal, long-term memory prosthesis,” in Proceedings of the 3rd ACM workshop on Continuous archival and retrival of personal experences, 2006, pp. 65–74.
    21. Hodges, S., Williams, L., Berry, E., and Izadi, S., “SenseCam: A retrospective memory aid,” UbiComp, 2006, pp. 177–193.
    22. Sellen, A., Fogg, A., Aitken, M., & Hodges, S. (2007). Do life-logging technologies support memory for the past?: an experimental study using sensecam. In Proceedings of the SIGCHI conference on Human factors in computing systems, 2007, pp. 81–90.
    23. M. Crete-Nishihata, R. M. Baecker, M. Massimi, D. Ptak, R. Campigotto, L. D. Kaufman, A. M. Brickman, G. R. Turner, J. R. Steinerman, and S. E. Black, “Reconstructing the Past: Personal Memory Technologies Are Not Just Personal and Not Just for Memory,” Human–Computer Interact., vol. 27, no. 1– 2, pp. 92–123, 2012.
    24. R. Agrawal, W. I. Grosky, and F. Fotouhi, “Image Clustering and Retrieval Using MPEG-7,” in The handbook of MPEG applications: standards in practice, no. 9, John Wiley & Sons Inc, 2011, pp. 221–239.
    25. P. J. Kuo,“Continuous Personal Digital Photograph Archival and Retrieval with Spatial and Temporal Coordinated MPEG-7 Description Scheme,” University of Tokyo, 2007.
    26. R. Datta, D. Joshi, J. Li, and J. Z. Wang, “Image Retrieval: Ideas, Influences, and Trends of the New Age,” ACM Comput. Surv., vol. 40, no. 2, pp. 5:1–5:60, 2008.
    27. S. Committee, “Exchangeable image file format for digital still cameras: Exif version 2.3,” Specif. Camera Imaging Prod. Assoc., vol. 1585, 2010.
    28. A. S. Inc., “XMP Specification,” 2012.
    29. IPTC, “IPTC Photo Metadata: Core 1.1/Extension 1.1,” 2010.
    30. P. Salembier and J. R. Smith, “Overview of multimedia description schemes and schema tools,” Introd. to MPEG-7, pp. 83–93, 2002.
    31. K. Rodden and K. R. Wood, “How do people manage their digital photographs?,” presented at the CHI '03: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2003.
    32. P. J. Kuo, T. Aoki, and H. Yasuda, “Building personal digital photograph libraries: an approach with ontology-based MPEG-7 Dozen Dimensional Digital Content architecture,” presented at the Proceedings of the 2004 Computer Graphics International (CGI'04), 2004, pp. 482–489.
    33. P. J. Kuo, T. Aoki, and H. Yasuda, “MPEG-7 Based Dozen Dimensional Digital Content Architecture for Semantic Image Retrieval Services,” presented at the Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04), 2004, pp. 518–525.
    34. P. J. Kuo, T. Aoki, and H. Yasuda, “Continuous Archiving of Personal Digital Photograph Collections with a MPEG-7 Based Dozen Dimensional Digital Content Architecture,” presented at the Proceedings of the Second IS&T Archiving Conference, 2005, pp. 188–192.
    35. P.-Y. Chen and P.-J. Kuo, “Archiving of Personal Digital Photograph Collections with a MPEG-7 Based Geotag Related Annotation Methodology,” in Archiving Conference, 2012, vol. 2012, no. 1, pp. 107–110.
    36. M. J. L. Pei Jeng Kuo, Po Yen Chen, Yi Ting Wang, Chun Hui Li, “A Ubiquitous Geotag Related Mobile Personal Digital Photograph Annotation System,” in Annual Conference on Engineering & Information Technology, 2014.
    37. Virrantaus, K., Markkula, J., Garmash, A., Terziyan, Y.V., 2001. Developing GIS-Supported Location-Based Services. In: Proc. of WGIS’2001 – First International Workshop on Web Geographical In- formation Systems., Kyoto, Japan. , 423–432.
    38. Jochen Schiller & Agnès Voisard, 2004, Location-Based Services, Elsevier Inc, CA, San Francisco.
    39. Quercia, Daniele; Lathia, Neal; Calabrese, Francesco; Di Lorenzo, Giusy; Crowcroft, Jon (2010). "2010 IEEE International Conference on Data Mining". p. 971.
    40. "Foundations of Location Based Services", Stefan Steiniger, Moritz Neun and Alistair Edwardes, University of Zurich
    41. Shu Wang, Jungwon Min and Byung K. Yi. "Location Based Services for Mobiles: Technologies and Standards". IEEE International Conference on Communication (ICC) 2008, Beijing, China.
    42. T D’Roza & G Bilchev, 2003, “An Overview of Location-Based Services,” BT Technology Journal.
    43. Farman, J., “Mobile interface theory: Embodied space and locative Media,” New York: Routledge.
    44. Tanaka, A., & Gemeinboeck, P., “Net_Dérive: Connecting and producing a locative media artwork,” In G. Goggin & L. Hjorth (Eds.), Mobile technologies: From telecommunications to media. New York, NY: Routledge.
    45. Humphreys, L., “Mobile social networks and urban public space,” New Media & Society, 12 (5), 2010, pp.763-778.
    46. Rheingold, H., “Smart mobs: The next social revolution,” Cambridge: MA: Perseus Publishing, 2002.
    47. Viitamaki, S. "The FLIRT model of crowdsourcing: planning and executing collective customer collaboration." Masterarbeit an der Helsinki School of Economics, Department of Marketing and Management, Helsinki, 2008.
    48. Doan, Anhai, Raghu Ramakrishnan, and Alon Y. Halevy. "Crowdsourcing systems on the world-wide web." Communications of the ACM 54.4 (2011): pp. 86-96.
    49. Geiger, David, Michael Rosemann, and Erwin Fielt. “Crowdsourcing information systems: a systems theory perspective.” Proceedings of the 22nd Australasian Conference on Information Systems, 2011.
    50. Yin, Wenyuan, Tao Mei, and Chang Wen Chen. "Crowdsourced Learning to Photograph via Mobile Devices." Multimedia and Expo (ICME), 2012 IEEE International Conference on. IEEE, 2012.
    51. L. Von Ahn, B. Maurer, C. Mcmillen, D. Abraham, and M. Blum, “reCAPTCHA: Human-Based Character Recognition via Web Security Measures,” Science (80-. )., vol. 321, no. 5895, pp. 1465–1468, 2008.
    Description: 碩士
    國立政治大學
    資訊科學學系
    100753030
    103
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0100753030
    Data Type: thesis
    Appears in Collections:[資訊科學系] 學位論文

    Files in This Item:

    File SizeFormat
    303001.pdf4286KbAdobe PDF317View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback