Penerimaan pemustaka terhadap layanan referensi berbasis AI
Studi tentang persepsi dan sikap
Keywords:
Artificial Intelligence (AI), reference services, perceptionAbstract
This study aims to find out more about the acceptance, perception and behavior of librarians regarding the presence of AI in Reference services and to find out more about the role and innovation of Librarians with the presence of AI. Using a qualitative approach with in-depth interviews as a data collection technique. 8 respondents were selected from various library user backgrounds, including 3 students, 3 academics/lecturers, and 2 members of the general public who use the reference services of the Airlangga University (UNAIR) Library, this study uses a descriptive qualitative format. The results of the study show a variety of responses from users to reference services that use AI. Most respondents welcomed the use of AI, considering it a valuable addition to accessing information. Several concerns also emerged, especially related to data privacy and concerns about losing human interaction. Librarians play a crucial role in developing students' critical thinking about the use of AI in various ways, including in reference services as a navigator of librarian information. Users tend to be wary of potential inaccuracies or biases in the results provided by AI, in the context of research that requires highly accurate and verified data. They understand that while AI can provide useful initial recommendations, those results need to be verified and followed up with more in-depth research. Various link user perceptions and attitudes to levels of satisfaction with AI-based reference services.
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References
Abayomi, O. K., Adenekan, F. N., Abayomi, A. O., Ajayi, T. A., & Aderonke, A. O. (2021). Awareness and perception of the artificial intelligence in the Management of University Libraries in Nigeria. Journal of Interlibrary Loan, Document Delivery and Electronic Reserve, 29(1–2), 13–28. https://doi.org/10.1080/1072303X.2021.1918602
Bey, V. (2023). Fenomena artificial intelligence dan bahaya dehumanisasi: Analisis kritis terhadap fenomena AI berdasarkan pandangan Herbert Marcuse. Akademika: Jurnal Ilmiah Mahasiswa IFTK Ledalero, 23(1), 54-63.
Choi, Y. (2020). A study of employee acceptance of artificial intelligence technology. European Journal of Management and Business Economics, 30(3), 318–330. https://doi.org/10.1108/EJMBE-06-2020-0158
Cox, A. M., & Mazumdar, S. (2024). Defining artificial intelligence for librarians. Journal of Librarianship and Information Science, 56(2), 330–340. https://doi.org/10.1177/09610006221142029
Creswell, J. W. (2009). Research design: Qualitative, quantitative, and mixed methods approaches. Sage Publications Inc, 20(2). https://doi.org/10.1080/14675980902922143
Creswell, J. W., Hanson, W. E., Clark Plano, V. L., & Morales, A. (2007). Qualitative research designs: Selection and implementation. The Counseling Psychologist, 35(2), 236–264. https://doi.org/10.1177/0011000006287390
Goli, M., Sahu, A. K., Bag, S., & Dhamija, P. (2023). Users’ acceptance of artificial intelligence-based chatbots: An empirical study. International Journal of Technology and Human Interaction, 19(1), 1–18. https://doi.org/10.4018/IJTHI.318481
Lo, L. S. (2023). AI policies across the globe: Implications and recommendations for libraries. IFLA journal, 49(4), 645-649.
Miles, M. B., & Huberman, A. M. (2019). Qualitative data analysis. Sage Publications, Inc.
Mupaikwa, E. (2023). The application of artificial intelligence and machine learning in academic libraries, Encyclopedia of Information Science and Technology, Sixth Edition. Advance online publication, 1-18. https://doi.org/10.4018/978-1-6684-7366-5.ch041
Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041. https://doi.org/10.1016/j.caeai.2021.100041
Omame, I. M. & Alex-Nmecha, J. C. (2020). Artificial intelligence in libraries. In N. Osuigwe (Ed.), Managing and Adapting Library Information Services for Future Users (pp. 120-144). IGI Global Scientific Publishing. https://doi.org/10.4018/978-1-7998-1116-9.ch008
Pence, H. E. (2022). Future of artificial intelligence in libraries. Reference Librarian, 63(4), 133–143. https://doi.org/10.1080/02763877.2022.2140741
Sugiyono, D. (2010). Memahami penelitian kualitatif.
Tredinnick, L. (2017). Artificial intelligence and professional roles. Business Information Review, 34(1), 37–41. https://doi.org/10.1177/0266382117692621
Wang, Y. (2022). Using machine learning and natural language processing to analyze library chat reference transcripts. Information Technology and Libraries, 41(3). https://doi.org/10.6017/ital.v41i3.14967
Wood, B. A., Evans, D., & Evans, D. J. (2018). Librarians’ perceptions of artificial intelligence and its potential impact on the profession. Computers in Libraries, 38(1). http://www.infotoday.com/cilmag/jan18/Wood
Zhou, H. (2023). Research on the development of university libraries in the era of Artificial Intelligence (AI). The Frontiers of Society, Science and Technology, 5(7), 109–113. https://doi.org/10.25236/fsst.2023.050719
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