AI 於工作中的應用帶來了新的社會與工作變革。AI 的介入目的在於提升工作效率與便利，但於此同時，也改變了工作者的工作模式、工作流程與工作職責，其中一典型的例子即為知識工作者。為了加深對於 AI 如何對知識工作者帶來正面與負面影響，以及知識工作者如何應對這些改變的理解，本研究訪問了 16 位翻譯譯者，針對 AI 介入翻譯行業所帶來的影響做深入訪談。通過訪談和質性編碼法的歸納分析，本研究討論了 AI 介入前後工作流程的轉變、AI 所帶來的工作要求與工作資源，以及 AI 介入所帶來的影響。

本研究結果透過定義 AI 介入知識工作者工作而產生的工作要求與工作資源，對 JD-R 理論、AI 影響之文獻做出貢獻，同時也為日後 AI 影響知識工作者之相關研究提供了研究基礎。此外，本研究亦指出知識工作者在面對 AI 介入所帶來的轉變、態度、對於工作成就感的影響，以及對於未來職涯的規劃與看法。

The application of AI in the workplace has led to improved societal and work transformations. AI intervention enhances work efficiency and convenience. However, at the same time, it also changes workers' work patterns, workflows, and job responsibilities, including knowledge workers.

To gain a deeper understanding of how AI affects knowledge workers positively and negatively, as well as how knowledge workers respond to these changes, this study conducted in-depth interviews with 16 translators regarding the impact of AI on the translation industry. Through interviews and inductive analysis using qualitative coding, this study discusses work processes changes before and after AI intervention. It also discusses the job demands and job resources created by AI, as well as the impact of AI intervention.

The results of this study contribute to the JD-R theory and the literature on the impact of AI by defining the job demands and resources generated by AI intervention in the work of knowledge workers. It also provides a research foundation for future studies on AI's impact on knowledge workers. Furthermore, this study also identifies the attitudes of knowledge workers towards the changes brought about by AI intervention, the impact on job satisfaction, as well as their career planning and perspectives for the future.

Amato, F., López, A., Peña-Méndez, E. M., Vaňhara, P., Hampl, A., & Havel, J. (2013). Artificial neural networks in medical diagnosis. Journal of Applied Biomedicine, 11, 47-58.
Bakker, A. B., & Demerouti, E. (2017). Job demands–resources theory: Taking stock and looking forward. Journal of occupational health psychology, 22(3), 273.
Bakker, A. B., Van Emmerik, H., & Van Riet, P. (2008). How job demands, resources, and burnout predict objective performance: A constructive replication. Anxiety, Stress, & Coping, 21(3), 309-324.
Bandura, A. (2001). Social cognitive theory: An agentic perspective. Annual review of psychology, 52(1), 1-26.
Bandura, A. (2006). Toward a Psychology of Human Agency. Perspectives on Psychological Science, 1(2), 164-180. https://doi.org/10.1111/j.1745-6916.2006.00011.x
Belotto, M. (2018). Data Analysis Methods for Qualitative Research: Managing the Challenges of Coding, Interrater Reliability, and Thematic Analysis. The Qualitative Report.
Brenner, W., Zarnekow, R., & Wittig, H. (2012). Intelligent software agents: foundations and applications. Springer Science & Business Media.
Burton-Jones, A., & Volkoff, O. (2017). How can we develop contextualized theories of effective use? A demonstration in the context of community-care electronic health records. Information systems research, 28(3), 468-489.
Carlson, J. R., Carlson, D. S., Zivnuska, S., Harris, R. B., & Harris, K. J. (2017). Applying the job demands resources model to understand technology as a predictor of turnover intentions. Computers in Human Behavior, 77, 317-325.
Choi, S. H., & Won, J.-S. (2017). The Nature of Flow in Virtual Reality Education: Based on A Grounded Theory Approach. The Journal of the Korea Contents Association, 17, 446-460.
Demerouti, E., & Bakker, A. B. (2011). The job demands-resources model: Challenges for future research. SA Journal of Industrial Psychology, 37(2), 01-09.
Descombes, V. (2010). The Mind's Provisions: A Critique of Cognitivism. Princeton University Press.
Eisenhardt, K. M. (1989). Agency theory: An assessment and review. Academy of management review, 14(1), 57-74.
Emirbayer, M., & Mische, A. (1998). What is agency? American journal of sociology, 103(4), 962-1023.
Engle, M. (2015). Book Review: Qualitative Data Analysis: A Methods Sourcebook: The Coding Manual for Qualitative Researchers. American Journal of Evaluation, 36, 137 - 140.
Fallahi, B., Sloboda, R. S., & Tavakoli, M. (2018). Applications of observers in medical robotics. at - Automatisierungstechnik, 66, 268 - 279.
Grossman, S. J., & Hart, O. D. (1992). An analysis of the principal-agent problem. Springer.
Kanygin, G. (2022). Problems of semantic reconstruction of the sociological narrative. Vestnik of Saint Petersburg University. Sociology.
Kuglitsch, M. M., Pelivan, I., Ceola, S., Menon, M., & Xoplaki, E. (2022). Facilitating adoption of AI in natural disaster management through collaboration. Nature communications, 13(1), 1579.
Laine, L. (2021). Ideating With an Artificial Colleague: Exploring Advertising Creatives’ Attitudes Towards Human-AI Collaboration
Langseth-Eide, B. (2019). It’s been a hard day’s night and I’ve been working like a dog: Workaholism and work engagement in the JD-R model. Frontiers in Psychology, 1444.
Langseth-Eide, B., & Vittersø, J. (2021). Ticket to Ride: A Longitudinal Journey to Health and Work-Attendance in the JD-R Model. International Journal of Environmental Research and Public Health, 18(8), 4327.
Lebovitz, S., Lifshitz-Assaf, H., & Levina, N. (2022). To engage or not to engage with AI for critical judgments: How professionals deal with opacity when using AI for medical diagnosis. Organization Science, 33(1), 126-148.
Linneberg, M. S., & Korsgaard, S. (2019). Coding qualitative data: a synthesis guiding the novice. Qualitative Research Journal.
Parker, S. K., & Grote, G. (2022). Automation, algorithms, and beyond: Why work design matters more than ever in a digital world. Applied Psychology, 71(4), 1171-1204.
Rogers, R. H. (2018). Coding and Writing Analytic Memos on Qualitative Data: A Review of Johnny Saldana's the Coding Manual for Qualitative Researchers. The Qualitative Report, 23, 889-892.
Russell, S. (2019). Human compatible: Artificial intelligence and the problem of control. Penguin.
Russell, S. J. (2010). Artificial intelligence a modern approach. Pearson Education, Inc.
Salmawati, L., Hermiyanti, D., Hamid, A., Nur, R., & Faradiba, D. (2018). COLLECTOR BEHAVIOR TOWARDS THE USE OF PERSONAL PROTECTIVE EQUIPMENTS ( PPE ) AT THE INPRES MARKET MANONDA PALU CITY.
Sander, J., de Vos, B. D., & Išgum, I. (2021). Unsupervised super-resolution: creating high-resolution medical images from low-resolution anisotropic examples. Medical Imaging 2021: Image Processing,
Schaufeli, W. B. (2017). Applying the job demands-resources model. Organizational dynamics, 2(46), 120-132.
Shapiro, S. P. (2005). Agency theory. Annu. Rev. Sociol., 31, 263-284.
Shi, Y., Wang, T., Yu, J. Y., Xiao, S., Xiong, L., & Yang, L. (2023). Virtual Potential Field-Based Motion Planning for Human-Robot Collaboration via Kinesthetically Guided Teleoperation. 2023 7th International Conference on Robotics, Control and Automation (ICRCA), 37-44.
Strich, F., Mayer, A.-S., & Fiedler, M. (2021). What do I do in a world of artificial intelligence? Investigating the impact of substitutive decision-making AI systems on employees’ professional role identity. Journal of the Association for Information Systems, 22(2), 9.
Sukartini, T., Nursalam, N., Wahyuni, E. D., & Ismiwiranti, R. (2020). PSYCHOLOGICAL PREPARATION MODEL USING HYPNOSIS APPROACH FOR PATIENTS BEFORE GASTROINTESTINAL ENDOSCOPY. Systematic Reviews in Pharmacy, 11, 1016-1021.
Sukumar, P. T., Avellino, I., Remy, C., Devito, M. A., Dillahunt, T. R., McGrenere, J., & Wilson, M. L. (2020). Transparency in Qualitative Research: Increasing Fairness in the CHI Review Process. Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems.
Wang, D., Weisz, J. D., Muller, M., Ram, P., Geyer, W., Dugan, C., Tausczik, Y., Samulowitz, H., & Gray, A. (2019). Human-ai collaboration in data science: Exploring data scientists' perceptions of automated ai. Proceedings of the ACM on human-computer interaction, 3(CSCW), 1-24.
Williams, M., & Moser, T. (2019). The Art of Coding and Thematic Exploration in Qualitative Research. International Management Review, 15, 45.
林金定, 嚴嘉楓, & 陳美花. (2005). 質性研究方法：訪談模式與實施步驟分析 [Qualitative Research Method: Models and Steps of Interviewing]. 身心障礙研究季刊, 3(2), 122-136. https://doi.org/10.30072/jdr.200506.0005