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Pervasive computing is increasingly moving beyond static sensing and passive context awareness toward systems that are embodied, adaptive, and agentic. Advances in wearables, spatial computing, edge intelligence, and robotics, together with foundation models are enabling computational entities that not only perceive their surroundings, but also reason over time, make decisions, and act within the physical world.
Embodied pervasive systems integrate sensing, computation, and actuation in physical form factors, ranging from wearable and mobile devices to autonomous robots and ambient infrastructures. At the same time, pervasive agents with autonomy, learning capability, and contextual reasoning, are becoming capable collaborators in everyday environments. These agents operate continuously, interpret multimodal signals, adapt to human behaviour, and influence the physical world through feedback, guidance, or direct intervention.
The convergence of embodiment and agentic intelligence raises foundational questions. How should pervasive agents reason about context over long time horizons? How can embodied systems balance autonomy with human oversight? How should we design system architectures that support safe, trustworthy, and socially aware operations in dynamic environments? And how do we evaluate intelligence that is distributed across physical form, sensing modalities, and machine learning models?
This Special Issue invites contributions that explore the theoretical foundations, system architectures, and real-world deployments of embodied pervasive computing and pervasive agents. We seek work that advances both technical innovation and critical reflection on the role of autonomous, context-aware systems in everyday life.
We invite original and high-quality submissions addressing, but not limited to, the following topics:
We also welcome papers addressing any aspect of this field, provided that the connection to pervasive computing is central and clear. Review or summary articles offering critical evaluations of the state of the art or in-depth analyses of emerging technologies will also be considered if they demonstrate academic rigor and relevance.
Articles submitted to IEEE Pervasive Computing should not exceed 6,000 words, including all text, the abstract, keywords, bibliography, biographies, and table text. The word count must include 250 words for each table and figure. References should be limited to at most 20 citations (40 for survey papers). Authors are encouraged, but not required, to use a template for submission (accepted articles will ultimately be typeset by magazine staff for publication).
For author information and guidelines on submission criteria, please visit the Author Information Page. Please submit papers through the IEEE Author Portal, and be sure to select the special-issue name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts, to the ScholarOne portal. Abstracts should be sent by email to the guest editors directly.
In addition to submitting your paper to IEEE Pervasive Computing, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data can be uploaded to IEEE DataPort prior to submitting your paper or concurrent with the paper submission. Thank you!
Contact the guest editors at pvc2-2027@computer.org
IEEE Pervasive Computing always welcomes submissions into its regular queue that cover the role of computing in the physical world – as characterized by visions such as the Internet of Things and ubiquitous computing. Topics of interest include hardware design, sensor networks, mobile systems, human-computer interaction, industrial design, machine learning, and data science, as well as societal issues including privacy and ethics. Please read the Author Information page before submitting. Simply select the “Regular” option when submitting at the submission site (submissions are possible at any time; no need for prior abstract by email).
