研究生: |
呂基清 Ji-Ching Liu |
---|---|
論文名稱: |
聊天機器人技術發展趨勢–以專利資料庫分析為例 The Development of Chatbot Technology – An Analysis from the Patent Database |
指導教授: |
袁建中
Chien-Chung Yuan 蔡孟涵 Meng-Han Tsai |
口試委員: |
袁建中
Chien-Chung Yuan 蔡孟涵 Meng-Han Tsai 耿筠 Yun Ken |
學位類別: |
碩士 Master |
系所名稱: |
工程學院 - 高階科技研發碩士學位學程 Executive Master of Research and Development |
論文出版年: | 2021 |
畢業學年度: | 109 |
語文別: | 中文 |
論文頁數: | 103 |
中文關鍵詞: | 聊天機器人 、專利分析 、專利強度 、動態競爭理論 |
外文關鍵詞: | Chatbot, Patent Analysis, Patent Strength, Competitive Dynamics Theory |
相關次數: | 點閱:516 下載:0 |
分享至: |
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
新冠肺炎黑天鵝事件的衝擊下,有更多的企業正在思索如何化危機為轉機,如何透過數位工具進行交流互動,積極地進行數位轉型。在物聯網及人工智慧技術的更迭換新下,將有更多遠距工作、無人載具及機器人進行零接觸的數位服務。聊天機器人的介面正是這些無人化服務當中重要的媒介,存在龐大的潛在需求。
研究架構區分專利管理圖、專利權人分析圖、專利指標分析圖及動態競爭分布圖四大構面。繪製專利管理圖及專利權人分析圖,以研究總體趨勢及主要領導廠商的技術分布;藉由多元迴歸的統計方法,分析專利指標對專利強度的影響,以研究各個廠商的技術強度分布;並從動態競爭理論的市場共同性與資源相似性兩個層面,研究不同廠商的競爭者分布。
激烈的全球競爭環境下,企業可以從市場與資源二個預測因子,檢視產業中不同公司的競爭關係。企業可以從本研究提出的分析方法,適時監控產業的專利趨勢與企業的競爭態勢,從不同廠商的視角察覺主要或潛在競爭對手發起行動與回應的可能性,評估自身是否有能力應對競爭者發起的競爭行為,進而擬定技術研發策略。
本研究分析聊天機器人技術的發展趨勢,並探討主要廠商之間的競爭態勢。引入動態競爭理論,從產業層級的專利分析跨入企業層級的競爭對抗。將靜態的專利分析,延伸至動態的競爭分析,以作為技術研發策略之參考。
Under the impact of the COVID-19, a black swan event, more companies are thinking about how to turn a crisis into an opportunity, how to communicate and interact through digital tools, and actively promote digital transformation. With the renewal of the Internet of Things and artificial intelligence technologies, there will be more telecommutes, unmanned vehicles and robots for zero-touch digital services. The interface of chatbots is an important medium among these unmanned services, and there is a huge potential demand.
The research framework is divided into four major aspects: patent management diagram, patent assignee diagram, patent index diagram, and dynamic competition diagram. Draw patent management diagrams and assignee diagrams to study the overall trend and technology distribution of major leading company; use multiple regression statistical methods to analyze the impact of patent indicators on patent strength to study the distribution of technical strength of each company; and from the two views of market commonality and resource similarity in the Competitive Dynamics theory, it studies the distribution of competitors of different company.
In the global competition environment, the two predictive factors of market and resources can be used to examine the competitive relationship of different companies in the industry. From the analysis methods proposed in this study, companies can monitor the industry’s patent trends and the company’s competitive situation, detect the possibility of actions and responses by major or potential competitors from the perspectives of different manufacturers, and review whether they can respond to competitors’ action, and develop the technology research and development strategy.
This research analyzes the development trend of chatbot technology and discusses the competitive situation among major company. Introduce the Competitive Dynamics Theory, from the overall analysis of the industry level to the competition of the enterprise level. Extend static patent analysis to dynamic competitive analysis as a reference for technology research and development strategy.
Abraham, B. P., & Moitra, S. D. (2001). Innovation assessment through patent analysis. Technovation, 21(4), 245-252. doi:https://doi.org/10.1016/S0166-4972(00)00040-7
Allen, J., Ferguson, G., & Stent, A. (2001). An architecture for more realistic conversational systems. Paper presented at the Proceedings of the 6th international conference on Intelligent user interfaces.
Allen, J. F., Byron, D. K., Dzikovska, M., Ferguson, G., Galescu, L., & Stent, A. (2001). Toward conversational human-computer interaction. AI magazine, 22(4), 27-27.
Allison, J. R., Lemley, M. A., Moore, K. A., & Trunkey, R. D. (2003). Valuable patents. Georgetown Law Journal, 92, 435.
Amengual, A. (2020). Sonos, Squeezed by the Tech Giants, Sues Google. Retrieved from https://www.nytimes.com/2020/01/07/technology/sonos-sues-google.html
Bessen, J. (2008). The value of US patents by owner and patent characteristics. Research Policy, 37(5), 932-945. doi:10.1016/j.respol.2008.02.005
Cahn, J. (2017). CHATBOT: Architecture, design, & development. University of Pennsylvania School of Engineering and Applied Science Department of Computer and Information Science.
Chae, S.-H., & Gim, J. (2018). A Study of CPC-based Technology Classification Analysis Model of Patents. The Journal of the Korea Contents Association, 18(10), 443-452.
Chen, M.-J. (1996). Competitor analysis and interfirm rivalry: Toward a theoretical integration. Academy of management review, 21(1), 100-134.
Colby, K. M. (1975). Artificial paranoia: a computer simulation of paranoid process: Pergamon Press.
Daim, T. U., Rueda, G., Martin, H., & Gerdsri, P. (2006). Forecasting emerging technologies: Use of bibliometrics and patent analysis. Technological Forecasting and Social Change, 73(8), 981-1012. doi:https://doi.org/10.1016/j.techfore.2006.04.004
Dale, R. (2016). The return of the chatbots. Natural Language Engineering, 22(5), 811-817.
EPO. (2020). Patent families. Retrieved from https://www.epo.org/searching-for-patents/helpful-resources/first-time-here/patent-families.html
Ernst, H. (2003). Patent information for strategic technology management. World Patent Information, 25(3), 233-242. doi:https://doi.org/10.1016/S0172-2190(03)00077-2
Ernst, H., Leptien, C., & Vitt, J. (2000). Inventors are not alike: The distribution of patenting output among industrial R&D personnel. Ieee Transactions on Engineering Management, 47(2), 184-199. doi:10.1109/17.846786
Gao, L., Porter, A. L., Wang, J., Fang, S., Zhang, X., Ma, T., . . . Huang, L. (2013). Technology life cycle analysis method based on patent documents. Technological Forecasting and Social Change, 80(3), 398-407.
Hagedoorn, J., & Cloodt, M. (2003). Measuring innovative performance: is there an advantage in using multiple indicators? Research Policy, 32(8), 1365-1379. doi:10.1016/s0048-7333(02)00137-3
Harhoff, D., Narin, F., Scherer, F. M., & Vopel, K. (1997). Citation frequency and the value of patented innovation.
Harhoff, D., Scherer, F. M., & Vopel, K. (2003). Citations, family size, opposition and the value of patent rights. Research Policy, 32(8), 1343-1363. doi:10.1016/s0048-7333(02)00124-5
Jaffe, A. B., Trajtenberg, M., & Henderson, R. (1993). Geographic localization of knowledge spillovers as evidenced by patent citations. the Quarterly journal of Economics, 108(3), 577-598.
Khan, M., & Dernis, H. (2006). Global overview of innovative activities from the patent indicators perspective.
Kochupillai, M., & Smith, M. A. (2007). Patent valuation with consideration for emerging technologies.
Lanjouw, J. O., & Schankerman, M. (1999). The Quality of Ideas: Measuring Innovation with Multiple Indicators. In (pp. 7345). Cambridge: National Bureau of Economic Research, Inc.
Lee, S., Yoon, B., Lee, C., & Park, J. (2009). Business planning based on technological capabilities: Patent analysis for technology-driven roadmapping (vol 76, pg 769, 2009). Technological Forecasting and Social Change.
Lemley, M. A., & Shapiro, C. (2005). Probabilistic patents. Journal of Economic Perspectives, 19(2), 75-98. doi:10.1257/0895330054048650
Lerner, J. (1991). The impact of patent scope: an empirical examination of new biotechnology firms (Vol. 91): Center for Science and International Affairs, John F. Kennedy School of ….
Macrotrends. (2019). The Premier Research Platform for Long Term Investors. Retrieved from https://www.macrotrends.net/
MIT. (2016). 10 Breakthrough Technologies 2016. Retrieved from https://www.technologyreview.com/10-breakthrough-technologies/2016/
Narin, F., Noma, E., & Perry, R. (1987). Patents as Indicators of Corporate Technological Strength. Research Policy, 16(2-4), 143. Retrieved from https://search.proquest.com/docview/223248492?accountid=8014
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=
http://140.118.33.10:4550/resserv?genre=article&issn=00487333&title=Research+Policy&volume=16&issue=2-4&date=1987-08-01&atitle=Patents+as+Indicators+of+Corporate+Technological+Strength&spage=143&aulast=Narin&sid=ProQ:ProQ%3Aabiglobal&isbn=&jtitle=Research+Policy&btitle=&id=doi:
Nerkar, A., Paruchuri, S., & Khaire, M. (2007). Business method patents as real options: Value and disclosure as drivers of litigation. Advances in Strategic Management, 24, 247-274.
Oppy, G., & Dowe, D. (2019). The turing test (E. N. Zalta Ed. Spring 2019 ed.): Metaphysics Research Lab, Stanford University.
Phaal, R., & Muller, G. (2009). An architectural framework for roadmapping: Towards visual strategy. Technological Forecasting and Social Change, 76(1), 39-49.
Porter, M. E. (1985). Technology and competitive advantage. Journal of Business Strategy (pre-1986), 5(000003), 60. Retrieved from https://search.proquest.com/docview/209880770?accountid=8014
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=
http://140.118.33.10:4550/resserv?genre=article&issn=02756668&title=Journal+of+Business+Strategy+%28pre-1986%29&volume=5&issue=000003&date=1985-01-01&atitle=Technology+and+competitive+advantage&spage=60&aulast=Porter&sid=ProQ:ProQ%3Aabiglobal&isbn=&jtitle=Journal+of+Business+Strategy+%28pre-1986%29&btitle=&id=doi:
Porter, M. E. (1989). How competitive forces shape strategy. In Readings in strategic management (pp. 133-143): Springer.
Porter, M. E. (1997). Competitive strategy. Measuring business excellence.
Potoroaca, A. (2016). Skype is getting Cortana and chatbots to provide the "conversations of the future". Retrieved from https://www.neowin.net/news/skype-is-getting-cortana-and-chatbots-to-provide-the-conversations-of-the-future/
Putnam, J. D. (1997). The value of international patent rights.
Reinganum, J. F. (1989). The timing of innovation: Research, development, and diffusion. Handbook of industrial organization, 1, 849-908.
Relecura. (2019). The A to Z of Alphabet’s Diverse Patent Portfolio. Retrieved from https://relecura.com/2019/07/22/the-a-to-z-of-alphabets-diverse-patent-portfolio/
Shevat, A. (2017). Designing bots: Creating conversational experiences: " O'Reilly Media, Inc.".
Shum, H.-Y., He, X.-d., & Li, D. (2018). From Eliza to XiaoIce: challenges and opportunities with social chatbots. Frontiers of Information Technology & Electronic Engineering, 19(1), 10-26.
Stoner, D. J., Ford, L., & Ricci, M. (2003). Simulating military radio communications using speech recognition and chat-bot technology. The Titan Corporation. Recuperado de: http://cc. ist. psu. edu/BRIMS/archives/2004/Papers/04-BRIMS-006. pdf.
Ter Meulen, A. (2017). Logic and natural language. The Blackwell guide to philosophical logic, 461-483.
TURING, A. M. (1950). COMPUTING MACHINERY AND INTELLIGENCE. Mind, LIX(236), 433-460. doi:10.1093/mind/LIX.236.433
Weizenbaum, J. (1966). ELIZA—a computer program for the study of natural language communication between man and machine. Communications of the ACM, 9(1), 36-45.
WIPO. (2019). WIPO Technology Trends 2019: Artificial Intelligence. Geneva: World Intellectual Property Organization.
www.cooperativepatentclassification.org. (2010). About CPC. Retrieved from https://www.cooperativepatentclassification.org/about
袁建中. (2014). 美國非專利實施實體的涉訟專利特徵之研究. (博士). 國立雲林科技大學, 雲林縣. Retrieved from https://hdl.handle.net/11296/rw67rv
財團法人台灣網路資訊中心. (2019). 2019台灣網路報告. Retrieved from https://report.twnic.tw/2019/TrendAnalysis_globalCompetitiveness.html
張晉源. (2019). 美國專利並行IPC與CPC下的分類號差異研究. (碩士). 國立臺灣科技大學, 台北市. Retrieved from https://hdl.handle.net/11296/2w68fb
葉士緯, & 黃振榮. (2017). 合作專利分類( CPC) 實施現況之探討與應用. 智慧財產權月刊, 217.
劉思芸. (2012). 觸控技術之專利權範圍與專利強度分析之研究. (碩士). 國立臺灣科技大學, 台北市. Retrieved from https://hdl.handle.net/11296/sks6jp
蔡孟涵, 楊政玹, 詹皓詠, 陳奕竹, 康仕仲, 郭純伶, & 張成璞. (2018). 對話機器人在工程上的應用-以 Ask Diana 為例. 土木水利, 45(5), 94-100.