Human digital twin, the development and impact on design

IF 2.6 3区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Computing and Information Science in Engineering Pub Date : 2023-08-08 DOI:10.1115/1.4063132

Yun-Hwa Song

引用次数: 2

Abstract

In the past decade, human digital twins (HDTs) attracted much attention in and beyond digital twin (DT) applications. In this paper, we discuss the concept and the development of HDTs with a focus on their architecture, ethical concerns, key enabling technologies, and the opportunities of using HDTs in design. Based on the literature, we identified that data, model, and interface are three key modules in the proposed HDT architecture. Ethics is an important concern in the development and the use of the HDT from the humanities perspective. For key enabling technologies that support the functions of the HDT, we argue that the IoT infrastructure, data security, wearables, human modeling, explainable artificial intelligence, minimum viable sensing, and data visualization are strongly associated with the development of HDTs. Based on current applications, we highlight the design opportunities of using HDTs in designing products, services, and systems, as well as a design tool to facilitate the design process.

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人类数字孪生的发展及其对设计的影响

在过去的十年里，人类数字双胞胎（HDT）在数字双胞胎（DT）应用中引起了广泛关注。在本文中，我们讨论了HDT的概念和发展，重点是其架构、伦理问题、关键使能技术以及在设计中使用HDT的机会。基于文献，我们确定数据、模型和接口是所提出的HDT架构中的三个关键模块。从人文学科的角度来看，伦理学是HDT发展和使用中的一个重要问题。对于支持HDT功能的关键使能技术，我们认为物联网基础设施、数据安全、可穿戴设备、人体建模、可解释的人工智能、最小可行感知和数据可视化与HDT的发展密切相关。基于当前的应用，我们强调了在设计产品、服务和系统时使用HDT的设计机会，以及促进设计过程的设计工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Computing and Information Science in Engineering 工程技术-工程：制造

CiteScore

6.30

自引率

12.90%

发文量

100

审稿时长

6 months

期刊介绍： The ASME Journal of Computing and Information Science in Engineering (JCISE) publishes articles related to Algorithms, Computational Methods, Computing Infrastructure, Computer-Interpretable Representations, Human-Computer Interfaces, Information Science, and/or System Architectures that aim to improve some aspect of product and system lifecycle (e.g., design, manufacturing, operation, maintenance, disposal, recycling etc.). Applications considered in JCISE manuscripts should be relevant to the mechanical engineering discipline. Papers can be focused on fundamental research leading to new methods, or adaptation of existing methods for new applications. Scope: Advanced Computing Infrastructure; Artificial Intelligence; Big Data and Analytics; Collaborative Design; Computer Aided Design; Computer Aided Engineering; Computer Aided Manufacturing; Computational Foundations for Additive Manufacturing; Computational Foundations for Engineering Optimization; Computational Geometry; Computational Metrology; Computational Synthesis; Conceptual Design; Cybermanufacturing; Cyber Physical Security for Factories; Cyber Physical System Design and Operation; Data-Driven Engineering Applications; Engineering Informatics; Geometric Reasoning; GPU Computing for Design and Manufacturing; Human Computer Interfaces/Interactions; Industrial Internet of Things; Knowledge Engineering; Information Management; Inverse Methods for Engineering Applications; Machine Learning for Engineering Applications; Manufacturing Planning; Manufacturing Automation; Model-based Systems Engineering; Multiphysics Modeling and Simulation; Multiscale Modeling and Simulation; Multidisciplinary Optimization; Physics-Based Simulations; Process Modeling for Engineering Applications; Qualification, Verification and Validation of Computational Models; Symbolic Computing for Engineering Applications; Tolerance Modeling; Topology and Shape Optimization; Virtual and Augmented Reality Environments; Virtual Prototyping