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However, the relevant research remains fragmented across human modelling, Human\u2013Robot Collaboration, Artificial Intelligence (AI), simulation, and Digital Twin (DT) research. Moreover, systems that use human data or adaptive automation are often described as human-centric without demonstrating measurable benefits to workers. This review addresses these limitations by distinguishing HCDTs from conventional human models, Human DTs, and collaborative robotic systems. It critically examines human-focused sensing, multi-modal data integration, biomechanical modelling, intention and motion prediction, robotic simulation, optimization, reinforcement learning, immersive interfaces, industrial connectivity, and data governance. Based on this analysis, a literature-derived conceptual framework is proposed that connects sensing, integration, human modelling, analytics, simulation, decision-making, adaptation, human interaction, and governance. The framework organizes the functional requirements of HCDTs and is intended to inform future system design and comparison; its practical applicability and effectiveness require further validation. The review argues that HCDTs must extend beyond worker monitoring and productivity maximization: human data should inform industrial decisions that produce measurable improvements in safety, ergonomics, wellbeing, autonomy, accessibility, or skill development. Such systems should also uphold privacy, transparency, uncertainty awareness, explainability, and appropriate human authority. By linking technological capabilities to explicit worker outcomes, this synthesis enables researchers and engineers to assess the human-centeredness of HCDT implementations and supports the development of trustworthy systems for I5.0.<\/jats:p>","DOI":"10.3389\/frobt.2026.1983733","type":"journal-article","created":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T04:50:01Z","timestamp":1790830201000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Human-centric digital twins in industry 5.0: technologies, applications, and future directions"],"prefix":"10.3389","volume":"13","author":[{"given":"Sagheer","family":"Khan","sequence":"first","affiliation":[{"name":"SDAIA-KFUPM Joint Research Center for Artificial Intelligence, KFUPM","place":["Dhahran, Saudi Arabia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Saifullah","family":"Tumrani","sequence":"additional","affiliation":[{"name":"SDAIA-KFUPM Joint Research Center for Artificial Intelligence, KFUPM","place":["Dhahran, Saudi Arabia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nguyen","family":"Van Nam","sequence":"additional","affiliation":[{"name":"Information and Computer Science Department, King Fahd University of Petroleum & Minerals (KFUPM)","place":["Dhahran, Saudi Arabia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Moataz","family":"Ahmed","sequence":"additional","affiliation":[{"name":"SDAIA-KFUPM Joint Research Center for Artificial Intelligence, KFUPM","place":["Dhahran, Saudi Arabia"]},{"name":"Information and Computer Science Department, King Fahd University of Petroleum & Minerals (KFUPM)","place":["Dhahran, Saudi Arabia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ashfaq","family":"Khan","sequence":"additional","affiliation":[{"name":"School of Engineering and Built Environment, Sheffield Hallam University","place":["Sheffield, United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mushtaq","family":"Khan","sequence":"additional","affiliation":[{"name":"Additive Manufacturing Research and Innovation Center (AMRIC), Mechanical Engineering Department, College of Engineering, Prince Mohammad Bin Fahd University","place":["Al Khobar, Saudi Arabia"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,10,1]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1007\/s10207-024-00912-1","article-title":"Digital twin communities: an approach for secure DT data sharing","volume":"24","author":"Alcaraz","year":"2025","journal-title":"Int. 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