The rapid expansion of Digital Twin (DT) technologies has reshaped how physical systems are observed, predicted, and optimized. While significant advances have been made in modeling, simulation, analytics, and automated decision-making, the human dimension remains underexplored, particularly as DTs become core enablers of next-generation Cyber Physical Systems (CPS), Internet of Things (IoT) ecosystems, Human-Centered Computing (HCC), and intelligent infrastructures. This workshop aims to foreground the human-centered perspective in DT research, addressing how people design, operate, collaborate with, and trust DT systems across sectors such as healthcare, mobility, energy, manufacturing, and education. As DTs increasingly mediate interactions between humans and complex autonomous systems, understanding human cognition, behavior, ergonomics, fairness, and explainability becomes critical for ensuring adoption and safe operation.
We provide a dedicated venue for discussing human-oriented DT challenges. Topics of interest include, but are not limited to:
The submission link is at https://easychair.org/my/conference?conf=icccn2026.
Submitted manuscripts must be formatted in standard IEEE camera-ready format (double-column, 10-pt font) and must be submitted via EDAS (http://edas.info/) as PDF files (formatted for 8.5×11-inch paper). The submission link is at https://easychair.org/my/conference?conf=icccn2026. The manuscripts should be no longer than 6 pages. Submitted papers cannot have been previously published in or be under consideration for publication in another journal or conference. The workshop program committee reserves the right to not review papers that either exceed the length specification or have been submitted or published elsewhere. Submissions must include a title, abstract, keywords, author(s) and affiliation(s) with postal and e-mail address(es).
Submitted papers will be reviewed by the workshop program committee and judged on originality, technical correctness, relevance, and quality of presentation. Accepted and presented papers will be published in the ICCCN proceedings and submitted to IEEE Xplore as well as other Abstracting and Indexing (A&I) databases. IEEE reserves the right to exclude a paper from distribution after the conference, including IEEE Xplore® Digital Library if the paper is not presented by the author at the conference.
Program Chair: Chenyu Wang, Kennesaw State University
Program Co-Chair: Zhipeng Cai, Georgia State University
For inquiries, please contact the program chair.