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Journal of Library and Information Science in Agriculture ›› 2024, Vol. 36 ›› Issue (7): 4-18.doi: 10.13998/j.cnki.issn1002-1248.24-0450

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Human-Intelligent Information System Collaboration in Digital Twin Environment: Value Proposition, Key Technologies, and Practical Approaches

Fangrui BAI1,2, Shaobo LIANG1,3, Dan WU1,3(), Yuheng REN4, Fan YANG4   

  1. 1. School of Information Management, Wuhan University, Wuhan 430072
    2. National Demonstration Center for Experimental Library and Information Science Education, Wuhan 430072
    3. Center for Studies of Human-Computer Interaction and User Behavior, Wuhan University, Wuhan 430072
    4. Xiamen Kunlu IoT Information Technology Co. , Ltd, Xiamen 361000
  • Received:2024-06-09 Online:2024-07-05 Published:2024-11-26
  • Contact: Dan WU

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Abstract:

[Purpose/Significance] Previous studies or reviews of digital twins have focused either on conceptual analysis and theoretical models, or on the current state of the art and implementation, with only a few studies analyzing human-digital twin interaction and collaboration. This paper explores the collaboration between human and digital twin systems, and offers recommendations on how digital twins can catalyze the progress of societal digitization. It envisions a future where the interaction and collaboration between humans and digital twins is not only deepened but also transcended, moving closer to the harmonious integration of man and machine. The proposed strategies aim to unlock the full potential of digital twins in promoting a more connected and intelligent world. [Method/Process] This paper is a systematic literature review focusing on the partnership between human and digital twin systems, emphasizing the role of artificial intelligence. We analyze the value positioning, key technologies and practical applications through 45 papers from home and abroad. Then, we explore the construction path of digital twin technology-enabled information resource management. [Results/Conclusions] The study shows that human and digital twin systems have different unique values in the whole ecology, the irreplaceable wisdom of the human brain is reflected in innovation and decision-making, and the core function of the digital twin system is to support and enhance the communication between man and machine. AI technology plays the role of the pedestal in the interaction. There are common enabling technologies for human intelligence collaboration in the digital twin ecosystem, and the types of key technologies supporting human intelligence collaboration in different twin modules are not identical but synergistic with each other. The supporting technologies in digital twin environment mainly involve data acquisition and data transmission, model twin mainly lies in data fusion and management, image recognition and processing, and process twin mainly involves human-computer interfaces, immersive perception and other key technologies. In terms of application areas, human-intelligent information system cooperation at home and abroad has rich applications in industry, healthcare, smart cities and public cultural services, especially in public cultural services, where cooperation has accelerated the intelligentization process of public cultural service institutions. Finally, the study categorizes the human-intelligent information system collaboration methods in the digital twin ecology into three types: pre-determined, collaborative, and autonomous, proposes a holistic framework for the twin co-intelligence system of intelligent connections, and summarizes the current obstacles and development strategies from a realistic perspective. There are some limitations due to the limited samples, which can be increased in the future to deepen the mining and analysis to optimize the form of human-intelligent information system collaboration in the digital twin ecosystem.

Key words: digital twins, human-intelligent information system collaboration, artificial intelligence, human-centered

CLC Number: 

  • TP391.9

Table 1

Retrieval method and results"

数据库 检索式 检索结果/篇
WOS核心集 TS=(digital twin) AND (TS=((AI) OR (artificial intelligence))) AND (TS=((human-computer collaboration) OR (user))) 317
Scopus (TITLE-ABS-KEY ("digital twin") AND TITLE-ABS-KEY ("AI" OR " artificial intelligence") AND TITLE-ABS-KEY ("HCI" OR " human-computer collaboration " OR "user")) 269
CNKI (TKA%='数字孪生') AND TKA%=('人机协作'+'用户') AND TKA%=('人智协作'+'人工智能'+'协同智能') 179

Fig.1

Literature retrieval process"

Table 2

Literature information extracted"

抽取信息 信息范围 研究内容
基础信息 标题、作者、年份、第一作者国家 情况概览
文献类型 期刊、会议、书籍 情况概览
研究对象 文章研究的重点内容 情况概览
人类的职能定位 数字孪生生态人智协作中人类的独特价值、职能定位 RQ1
数字孪生系统的职能定位 数字孪生生态人智协作中数字孪生系统的独特价值、职能定位 RQ1
人工智能的作用 人工智能技术发挥的关键作用 RQ1
关键技术 支撑数字孪生生态人智协作的技术类型 RQ2
人智协作场景 数字孪生生态人智协作实践场景 RQ3
人智协作方式 数字孪生生态人智协作方式 RQ3

Fig.2

Artificial intelligence-enabled collaboration between human and digital twin"

Fig.3

Types of key technologies in different twin modules"

Table 3

Practices in different domains"

行业领域 数字孪生人智协作应用
工业 生产计划控制、交互式操作指引、工人安全保障
医疗保健 患者诊断与护理、医院设计与管理
智慧城市 城市规划设计、交通和环境管控、建筑安全管理
公共文化服务 沉浸式知识服务、机构场馆管理、文化遗产保护

Fig.4

Collaboration approaches in the digital twin ecology"

Fig.5

Twin co-intelligence framework diagram"

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