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| Title: | 從館員視角探討人工智慧應用於學術圖書館服務
Exploring the Application of Artificial Intelligence in Academic Library Services: Librarians' Perspective |
| Authors: | 李欣應
Lee, Hsin-Ying |
| Contributors: | 李沛錞
Lee, Pei-Chun
李欣應
Lee, Hsin-Ying |
| Keywords: | 人工智慧
學術圖書館
Artificial Intelligence
Academic Library |
| Date: | 2024 |
| Issue Date: | 2024-08-05 13:32:09 (UTC+8) |
| Abstract: | 本研究旨在探討人工智慧在學術圖書館中的應用，特別是從館員的視角分析其應用現狀、影響以及面臨的挑戰。本研究選擇國立虎尾科技大學圖書館作為個案研究對象，並透過深度訪談方法收集資料。
研究背景
人工智慧技術的發展迅速，已逐步應用於學術圖書館的各項服務中，包括智慧檢索、推薦系統、數據分析工具及虛擬助手等。然而，這些技術的引入也對傳統圖書館的服務模式帶來挑戰。本研究旨在了解學術圖書館館員對人工智慧應用的看法、探討其可能面臨的困難與障礙及如何有效推動，並提出實務建議以提升圖書館服務品質。
研究目的
一、從學術圖書館館員視角探討人工智慧的發展趨勢及應用。
二、探討因應人工智慧的興起對於學術圖書館服務的影響。
三、探討學術圖書館館員在推動人工智慧應用時面臨的困難與障礙，並提供實務建議。
研究方法
本研究採用個案研究法和深度訪談法，針對國立虎尾科技大學圖書館進行深入分析。訪談對象包括圖書館的主管及資深館員，資料收集方式包括訪談記錄、館藏資料及相關文獻。
研究結果
一、 館員對人工智慧技術的看法：
大多數館員對人工智慧技術持積極態度，認為其能有效提升圖書館服務效率。並認為人工智慧的應用會減輕館員的部份工作負擔。
二、推動人工智慧應用時的困難與障礙：
1.技術及基礎設施問題，資源電子化及完善的基礎設施是推動人工智慧的先決條件。
2.人員抗拒與適應問題，需提供相關培訓和教育。
3.經費限制是推動人工智慧應用的一大障礙，特別是對於中小型圖書館而言。
三、有效推動人工智慧應用的策略：
1.加強館員技術培訓，提高其對人工智慧技術的理解和應用能力。
2.爭取外部資源和支援，參與全國性或區域性的圖書館聯盟，共享資源和經驗。
3.制定導入的發展規劃，確保人工智慧技術的引入和應用循序漸進。
結論與建議
人工智慧技術的應用在學術圖書館服務的前景廣闊，但同時也面臨技術、經費和人力資源等多方面的挑戰，館員亦須從傳統角色中適應新技術環境下的變化。
本研究探討人工智慧技術在學術圖書館的應用潛力，並提出系列第一線學術圖書館館員實務建議。這些策略不僅有助於提升圖書館服務品質，也能促進館員職業發展，為學術圖書館的未來發展提供強有力的支撐。
This study aims to explore the application of artificial intelligence (AI) in academic libraries, specifically analysing its current state, impact, and challenges from the perspective of librarians. The National Formosa University Library is selected as a case study and the data is collected through in-depth interviews.
Research Background
The rapid development of AI technology has been gradually applied to various services in academic libraries, including intelligent search engines, recommendation systems, data analysis tools, and virtual assistants. However, the introduction of these technologies also challenges traditional library service models. This study aims to understand academic librarians' views on AI applications, explore the potential difficulties and obstacles they may face, and how to effectively promote AI usage, providing practical recommendations to enhance library service quality.
Research Objectives
1.Explore the development trends and applications of AI from the perspective of academic librarians.
2.Analyse the impact of the rise of AI on academic library services.
3.Investigate the difficulties and obstacles academic librarians face in promoting AI applications and provide practical recommendations.
Research Methods
This study adopts case study and in-depth interview methods, focusing on the National Formosa University Library for in-depth analysis. Interviewees include library supervisors and senior librarians. Data collection methods include interview records, library collections, and related literature.
Research Results
1.Librarians' views on AI technology:
a.Most librarians have a positive attitude towards AI technology, believing that it can effectively improve library service efficiency and reduce some of the workload for librarians.
2.Difficulties and obstacles in promoting AI applications:
a.Technical and Infrastructure Issues: Resource digitisation and complete infrastructure are prerequisites for promoting AI.
b.Resistance and adaptation issues among staff: Relevant training and education is needed.
c.Budget constraints are a significant barrier to promoting AI applications, especially for small and medium-sized libraries.
3.Strategies to effectively promoting AI applications:
a.Strengthen technical training for librarians to enhance their understanding and application of AI technology.
b.Seek external resources and support, participate in national or regional library alliances, and share resources and experiences.
c.Develop a phased development plan to ensure the gradual introduction and application of AI technology.
Conclusions and Recommendations
The application of AI technology has broad prospects for academic library services, but it also faces challenges in technology, funding, and human resources. Librarians must adapt to changes in the new technological environment that are different from their traditional roles.
This study explores the potential of AI technology in academic libraries and provides a series of practical recommendations for academic librarians. These strategies will not only help improve library service quality but also promote the professional development of librarians, providing strong support for the future development of academic libraries. |
| Reference: | Adams Becker, S., Cummins, M., Davis, A., Freeman, A., Hall Giesinger, C., & Ananthanarayanan, V. (2017). NMC Horizon Report: 2017 Higher Education Edition. Retrieved from
Ahmad, K., JianMing, Z., & Rafi, M. (2019). An analysis of academic librarians competencies and skills for implementation of Big Data analytics in libraries: A correlational study. doi:10.1108/DTA-09-2018-0085
Ajani, Y. A., Tella, A., Salawu, K. Y., & Abdullahi, F. (2022). Perspectives of Librarians on Awareness and Readiness of Academic Libraries to Integrate Artificial Intelligence for Library Operations and Services in Nigeria. Internet Reference Services Quarterly, 26(4), 213-230. doi:10.1080/10875301.2022.2086196
Akinola, S. A. (2023). Capabilities and Apparent Implications of Artificial Intelligence (AI) Adoption in Nigerian Academic Libraries. Paper presented at the University Library at a New Stage of Social Communications Development. Conference Proceedings.
Akparobore, D. O., Omosekejimi, A. F., & Nweke, A. C. (2020). Librarians' Awareness, Positive Attitude and ICT Skills: A Panacea for Effective Services Delivery in the Fourth Industrial Revolution (4th IR) Era in Academic Libraries in Southern Nigeria.
Ali, M., & Haider, K. (2016). An Analysis of Digital Reference Services Tools and Usage in University Libraries of Karachi. Pakistan Library and Information Science Journal, 47, 20-29.
Ali, M. Y., Naeem, S. B., & Bhatti, R. (2020). Artificial intelligence tools and perspectives of university librarians: An overview. Business Information Review, 37(3), 116-124. doi:10.1177/0266382120952016
Arlitsch, K., & Newell, B. (2017). Thriving in the Age of Accelerations: A Brief Look at the Societal Effects of Artificial Intelligence and the Opportunities for Libraries. Journal of Library Administration, 57(7), 789-798. doi:10.1080/01930826.2017.1362912
Artificial Intelligence. (2019). Retrieved from http://www.ala.org/tools/future/trends/artificialintelligence
Asemi, A. (2016). Artificial Intelligence (AI) application in Library Systems in Iran: A taxonomy study.
Bazillion, R. J. (2001). Academic libraries in the digital revolution. Educause Quarterly, 1.
Beerel, A. (2009). Leadership and Change Management: SAGE Publications.
Bell, S., & Shank, J. (2004). The blended librarian: A blueprint for redefining the teaching and learning role of academic librarians. College & Research Libraries News, 65, 372-375. doi:10.5860/crln.65.7.7297
Brygfjeld, S. A., Wetjen, F., & Walsøe, A. U. (2017). Machine learning for production of Dewey Decimal.
Corke, P. (2011). Robotics, vision and control: Fundamental algorithms in MATLAP: Springer Berlin, Heidelberg.
Cox, A. M., Pinfield, S., & Rutter, S. (2019). The intelligent library. Library Hi Tech, 37(3), 418-435. doi:10.1108/LHT-08-2018-0105
Curzon, S. C., & Quiñónez-Skinner, J. (2009). Academic Libraries (M. J. Bates & M. N. Maack Eds. 3rd ed.): CRC Press.
Dent, V. (2007). Intelligent Agent Concepts in the Modern Library. In Library Hi Tech, 25(1), 108-125. doi:https://doi.org/10.7282/T3B56H29
Duncan, A. S. P. (2022). The intelligent academic library: review of AI projects & potential for Caribbean libraries. Library Hi Tech News, 39(5), 12-15. doi:10.1108/LHTN-01-2022-0014
Framework for Information Literacy for Higher Education. (2015). Retrieved from http://www.ala.org/acrl/standards/ilframework
Gustavsson, J., & Hedlumd, M. (2011). the art of writting & speaking. Retrieved from https://www.scribd.com/doc/125748786/The-Art-of-Writing-and-Speaking
Hare, J., & Andrews, W. (2017). Survey Analysis: Enterprises Dipping Toes Into AI but Are Hindered by Skills Gap.
Health, & Wellness. (2022). Making Artificial Intelligence Approachable. Retrieved from https://www.urbanlibraries.org/innovations/making-artificial-intelligence-approachable
Hookway, B. (2014). Interface: The MIT Press.
Huang, Y.-H. (2022). Exploring the implementation of artificial intelligence applications among academic libraries in Taiwan. Library Hi Tech, ahead-of-print(ahead-of-print). doi:10.1108/LHT-03-2022-0159
Hussain, A. (2023). Use of artificial intelligence in the library services: prospects and challenges. Library Hi Tech News, 40(2), 15-17. doi:10.1108/LHTN-11-2022-0125
Jha, S. K. (2023). Application of artificial intelligence in libraries and information centers services: prospects and challenges. Library Hi Tech News, 40(7), 1-5. doi:10.1108/LHTN-06-2023-0102
Khan, R., Gupta, N., Sinhababu, A., & Chakravarty, R. (2023). Impact of Conversational and Generative AI Systems on Libraries: A Use Case Large Language Model (LLM). Science and Technology Libraries. doi:10.1080/0194262X.2023.2254814
Kim, B. (2019). AI and creating the first multidisciplinary AI lab. Library Technology Reports, 55(1), 16-20. doi:https://doi.org/10.5860/ltr.55n1
Knox, W. (2011). Augmenting Reinforcement Learning with Human Feedback.
Kristensen, G. K., & Ravn, M. N. (2015). The voices heard and the voices silenced: recruitment processes in qualitative interview studies. Qualitative Research, 15(6), 722-737. doi:10.1177/1468794114567496
Lee, B. C. G., Mears, J., Jakeway, E., Ferriter, M., Adams, C., Yarasavage, N., . . . Weld, D. S. (2020). The newspaper navigator dataset: extracting headlines and visual content from 16 million historic newspaper pages in chronicling America. Paper presented at the Proceedings of the 29th ACM international conference on information & knowledge management.
Li, L. (2013). 16 - The future of academic libraries in the digital age. In D. Baker & W. Evans (Eds.), Trends, Discovery, and People in the Digital Age (pp. 253-268): Chandos Publishing.
Liu, G. (2011). The application of intelligent agents in libraries: a survey. Program, 45(1), 78-97. doi:10.1108/00330331111107411
Milholland, A., & Maddalena, M. (2022). We Could Program a ‘Bot’ to Do That!: Robotic Process Automation in Metadata Curation and Scholarship Discoverability. Chicago.
Murphy, D. (2015). Robotics and the human touch in libraries and museums. Retrieved from https://slis.simmons.edu/blogs/unbound/2015/04/06/robotics-and-the-human-touch-in-libraries-and-museums/
Mushi, C., Mwantimwa, K., & Wema, E. (2023). Librarians’ competencies for implementing embedded librarianship in university libraries. Journal of Librarianship and Information Science, 55(3), 798-812. doi:10.1177/09610006221104809
Nyamboga, C. M., & Kemparaju, T. D. (2002). Information Technology in University Libraries in Karnataka. Information Development, 18(4), 257-265. doi:10.1177/026666602321036650
Omame, I., & Alex-Nmecha, J. (2020). Artificial Intelligence in Libraries. In (pp. 120-144).
Padilla, T. (2019). Responsible Operations: Data Science, Machine Learning, and AI in Libraries. Retrieved from Dublin, OH: https://www.oclc.org/content/dam/research/publications/2019/oclcresearch-responsible-operations-data-science-machine-learning-ai.pdf
Panda, S., & Chakravarty, P. R., Agartala,. (2021). Implementing Conversational AI in Libraries: A Practical Approach. In Impact of COVID-19 in Academic Institutions, 124-145. Retrieved from https://doi.org/10.5281/zenodo.4751040
Renjun, L., Zhiyong, H., Kurniawan, E., & Chin Keong, H. (2015, 28 Sept.-2 Oct. 2015). AuRoSS: An Autonomous Robotic Shelf Scanning system. Paper presented at the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
SAIBAKUMO, W. T. (2021). Awareness and acceptance of emerging technologies for extended information service delivery in academic libraries in Nigeria. Library Philosophy and Practice, 1-11. Retrieved from https://digitalcommons.unl.edu/libphilprac/5266/
Scherer, C. P. (2019). Safeguards by Design Challenge Final Report-FY19 University of Rhode Island University of Texas-Austin. Retrieved from
Schulte, J., Tiffen, B., Edwards, J. A., Abbott, S., & Luca, E. J. (2018). Shaping the Future of Academic Libraries: Authentic Learning for the Next Generation. Coll. Res. Libr., 79, 685-696.
Siau, K., & Ma, Y. (2018). Artificial Intelligence Impacts on Higher Education.
Smith, L. C. (1976). Artificial intelligence in information retrieval systems. Information Processing & Management, 12(3), 189-222. doi:https://doi.org/10.1016/0306-4573(76)90005-4
Subhajit, P., & Chakravarty. (2021). Implementing Conversational AI in Libraries: A Practical Approach. In Impact of COVID-19 in Academic Institutions, 124-145. Retrieved from https://doi.org/10.5281/zenodo.4751040
Suominen, O., Lehtinen, M., & Inkinen, J. (2022). Annif and Finto AI : Developing and Implementing Automated Subject Indexing. doi:10.4403/jlis.it-12740
Talk to Books. (2018). Retrieved from https://books.google.com/talktobooks/
Tredinnick, L. (2017). Artificial intelligence and professional roles. Business Information Review, 34(1), 37-41. doi:10.1177/0266382117692621
Turner, R. (2007). Developing the New Learning Environment: The Changing Role of the Academic Librarian. New Library World, 108(3/4), 191-193. doi:10.1108/03074800710735410
Tzanova, S. (2024). AI in academic libraries: Success, pitfalls, perceptions, and why we need ai literacy. In Applications of Artificial Intelligence in Libraries (pp. 19-44).
Wagstaff, K. L., & Liu, G. Z. (2018). Automated classification to improve the efficiency of weeding library collections. The Journal of Academic Librarianship, 44(2), 238-247.
Wheatley, A., & Hervieux, S. (2019). Artificial intelligence in academic libraries: An environmental scan. Information Services & Use, 39, 347-356. doi:10.3233/ISU-190065
Wood, B., & Evans, D. (2018). Librarians' Perceptions of Artificial Intelligence and Its Potential Impact on the Profession.
Wrench, J. S., & Elmoudden, S. (2024). Generative AI in higher education. In The Role of Generative AI in the Communication Classroom (pp. 1-37).
Yao, F., Zhang, C., & Chen, W. (2015). Smart talking robot Xiaotu: participatory library service based on artificial intelligence. Library Hi Tech, 33(2), 245-260. doi:10.1108/LHT-02-2015-0010
國立虎尾科技大學-校史沿革. (2021). Retrieved from https://www.nfu.edu.tw/zh/aboutnfu/welcome
张颖君. (2019). 人工智能时代图书馆智能化服务模式探讨. 中国中医药图书情报杂志, 43(3), 30-32. doi:10.3969/j.issn.2095-5707.2019.03.007
潘淑滿. (2022). 質性研究:理論與應用. 新北市: 心理出版社股份有限公司.
王文科, & 王智弘. (2019). 教育研究法: 五南圖書.
田孟心. (2024). GPT-4o強在哪？. Retrieved from https://www.cw.com.tw/article/5130399
舒琅. (2018). 挫折事件與連續性侵：一位系列殺人犯的個案研究. [Frustration and Continuous Sexual Assault: A Case Study of a Serial Murderer]. 亞洲家庭暴力與性侵害期刊, 14(2), 105-124.
虎尾巴文化協會. (2006). 虎尾鎮開發史: 雲林縣虎尾鎮公所.
謝靜, & 劉萍. (2022). 人工智能與高校智慧圖書館建設. 科技創新導報, 19(29), 120-123. doi:10.16660/j.cnki.1674-098X.2206-5640-7301
赵美芳. (2018). 国外图书馆人工智能AI应用现状及启示. 兰台世界(11), 131-135. doi:10.16565/j.cnki.1006-7744.2018.11.32
黃明居. (2019) 新科技於圖書館服務的應用─以人臉辨識與VR/AR為例. In, 閱讀悅精彩: Vol. 16 (pp. 75-86). 台灣: 國立公共資訊圖書館. |
| Description: | 碩士
國立政治大學
圖書資訊學數位碩士在職專班
106913010 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0106913010 |
| Data Type: | thesis |
| Appears in Collections: | [圖書資訊學數位碩士在職專班] 學位論文
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