Research on Annotation of Ancient Books Based on Cognitive Load Theory The Digital Transfor- mation Path of Wenjing Rare Books Periodicals

Abstract

Addressing the issues of low annotation efficiency and high cognitive load in the digitization process of an- cient books, this study, grounded in cognitive load theory, proposes an ergonomic solution integrating inter- face optimization and user collaboration mechanisms. By employing an information layering strategy and multi-channel interaction design, a three-level interface architecture—categorized as “primary-auxiliary-sup- plementary”—is constructed, deconstructing the content of ancient books into a core text layer, a folded an- notation layer, and a dynamic floating window layer. Furthermore, by integrating semantic indexing with the BERT model, image restoration with GAN networks, and blockchain certification technology, multimodal con- tent management is optimized. Additionally, a dynamic task allocation model and an intelligent collaboration system are designed, leveraging deep reinforcement learning and Q-Learning algorithms to achieve dynamic matching between user capabilities and task difficulty. Copyright traceability and collaboration efficiency are ensured through the application of Hyperledger Fabric blockchain technology.

Keywords

Cognitive load theory / ancient books / cultural digitization

Funding

Beijing Institute of Graphic Communication for Promoting Student Entrepreneurship and Employ- ment - Undergraduate Research Funding(Project Number: 25000115004)

References

[1] 李娜娜, 朱坤豪, 苗含雨. 数字统一语境下的流散珍本古籍再生性建设研究:维度、框架与启示[J]. 图书馆, 2023,(03):74-83.

[2] 中国全民阅读网《北京文景珍本期刊博物馆开馆》, 见 https://www.nationalreading.gov.cn/ydzg/202409/t20240909_862176.html

[3] 曹芬芳, 程静,叶顺强 & 张俊婷.( 2023). 认知负荷视角下数字图书馆用户从众信息使用行为研究. 图书情报工作, 67(02),52-63.doi:10.13266/j.issn.0252-3116.2023.02.006.

[4] 华云, 王卿. 基于云计算的融媒体时代医学科技期刊编辑数字化转型路径研究[J]. 中国传媒科技, 2022(01)

[5] Van Merriënboer J. J., & Sweller J. (2010). Cognitive load theory in health professional educa- tion: design principles and strategies. Medical education, 44(1), 85-93.

[6] Anmarkrud Ø., Andresen A., & Bråten I. (2019). Cognitive load and working memory in multi- media learning: Conceptual and measurement issues. Educational psychologist, 54(2), 61-83.

[7] Chen O., Paas F., & Sweller J. (2023). A cognitive load theory approach to defining and measur- ing task complexity through element interactivity. Educational Psychology Review, 35(2), 63.

[8] Van Merriënboer J. J., & Sweller J. (2010). Cognitive load theory in health professional educa- tion: design principles and strategies. Medical education, 44(1), 85-93.

[9] Van Merriënboer J. J., & Sweller J. (2010). Cognitive load theory in health professional educa- tion: design principles and strategies. Medical education, 44(1), 85-93.

[10] Martin J. D., & Petty J. W. (2001). Value based management. Baylor business review, 19(1), 2.

[11] 罗宏, 王黎华. 信息分层管理研究[J]. 图书馆建设, 2013,(03):27-29.

[12] 张欧阳.(2025). 动态协商与城市社区共治的多主体协作机制研究. 公关世界,(02),75-77.

[13] 胡宇辰 & 郭宇.(2013). 基于沙漏模型的移动互联网用户行为分析. 管理世界,(07),184-185.

[14] Salisbury L., & Noguera E. (2003). Usability of e-journals and preference for the virtual periodi- cals room: a survey of mathematics faculty and graduate students.

[15] Biocca F. (1992). Virtual reality technology: A tutorial. Journal of communication, 42(4), 23-72.

[16] Zhao L., & Kim J. (2024). The impact of traditional Chinese paper-cutting in digital protection for intangible cultural heritage under virtual reality technology. Heliyon, 10(18).

[17] Di Pierro M. (2017). What is the blockchain?. Computing in Science & Engineering, 19(5), 92-95.

[18] Yaga D., Mell P., Roby N., & Scarfone K. (2019). Blockchain technology overview. arXiv pre- print arXiv:1906.11078.

[19] Sagiroglu S., & Sinanc D. (2013, May). Big data: A review. In 2013 international conference on collaboration technologies and systems (CTS) (pp. 42-47). IEEE.