With the rapid progression of urbanization and the increasing emphasis on enhancing human well-being, there is a growing demand for intelligent systems that prioritize human-centric design and functionality. Meeting this demand involves addressing key challenges, such as developing advanced sensing technologies to monitor various aspects of human life, including health indicators, behavioral patterns, and people's interactions with the built environment. Moreover, it requires developing advanced AI models for human-in-the-loop applications, such as predictive tools for personalized healthcare, adaptive systems for long-term monitoring, and optimization algorithms to enhance daily activities and decision-making processes. Additionally, integrating user requirements into system architectures—encompassing intuitive interfaces, wearable and ambient devices, and context-aware functionalities—remains a critical priority. These advancements are pivotal for a wide range of human-centered applications, including healthcare systems that enable early diagnostics and proactive interventions, smart living environments that streamline and optimize daily routines, personalized learning platforms tailored to individual preferences, and advanced technologies that enhance accessibility and mobility across diverse populations in our community.

This workshop aims to foster collaboration among researchers and practitioners from academia, industry, and service sectors, providing a platform to share ideas and experiences in developing human-centered systems.

Topics of Interest

We welcome contributions that emphasize human-centric sensing technologies, novel models for human-centered systems, and applications in areas including, but not limited to:

Human-Centered Sensing and Data Acquisition

• Novel sensing approaches for health, activity, gesture, behavior monitoring of individuals or groups (e.g., camera, VR/AR, wearables, mobile platforms, vibration, acoustics, IMU, mmWave/WiFi, etc.)
• Data management transmission methodologies (e.g., communication and networking)

Human-Centered Static and AI Driven Models

• Statistical models for representing and analyzing human behavior, preferences, and environmental interactions include methods (e.g., regression analysis, Bayesian networks, clustering algorithms, matrix factorization techniques, etc.) that capture relationships within human-centered data.
• Advanced AI models and techniques involving data collected from humans (e.g., large language models, convolutional neural networks, transformers, graph neural networks, time series models, statistical learning models, etc.).
• System models or frameworks for human-in-the-loop applications.
• Data interpretation and metric prediction in human-centered cyber-physical systems.

Human-Centered System Design and Implementation

• Integration of human needs and preferences in the design of cyber-physical systems (e.g., privacy considerations, UI/UX design, integration of LLM agents, etc.)
• Prototyping and iterative system design to refine and validate human-centered solutions.

Applications and Real-World Studies

• Real-world deployment experience with human participants
• Evaluation methodologies and insights of cyber-physical systems with human in the loop

Submitted papers must be unpublished and must not be currently under review for any other publication.

We will solicit papers in three categories:

1. Full Papers (up to 6 pages including references) should report reasonably mature work in human-centered sensing, networking, or multi-device systems. These papers are expected to demonstrate concrete and reproducible results, even if the scale may be limited.
2. Experience Papers (up to 4 pages including references) should present experiences with the implementation, deployment, and operation of novel sensing or networking technologies and systems for human-centered applications. Desirable papers are expected to include real data and descriptions of practical lessons learned.
3. Short Papers (up to 2 pages including references) are encouraged to report novel and creative ideas that have yet to produce concrete research results but are at a stage where community feedback would be useful.

All papers will be at most 6 single-spaced 8.5" x 11" pages with 10-pt font size in two-column format, including figures, tables, and references. All submissions must use the LaTeX (preferred) or Word styles found here. LaTeX submissions should use the acmart.cls template (sigconf option), with the 10-pt font. All of the accepted papers (regardless of category) will be included in the ACM Digital Library. All papers will be digitally available through the workshop website, and the ACM Sensys 2024 Adjunct Proceedings. We will offer a "Best Paper" award, sponsored by Nokia Bell Labs, to one of the accepted papers.

By submitting your article to an ACM Publication, you are hereby acknowledging that you and your co-authors are subject to all ACM Publications Policies, including ACM's new Publications Policy on Research Involving Human Participants and Subjects. Alleged violations of this policy or any ACM Publications Policy will be investigated by ACM and may result in a full retraction of your paper, in addition to other potential penalties, as per ACM Publications Policy. https://www.acm.org/publications/policies/research-involving-human-participants-and-subjects

Please ensure that you and your co-authors obtain an ORCID ID, so you can complete the publishing process for your accepted paper. ACM has been involved in ORCID from the start and we have recently made a commitment to collect ORCID IDs from all of our published authors. We are committed to improve author discoverability, ensure proper attribution and contribute to ongoing community efforts around name normalization; your ORCID ID will help in these efforts.

HumanSys'25 follows a single-blind review process.

Please submit your papers via this link - https://humansys25.hotcrp.com/

Camera-ready Manuscript Details

Please note that the page limit is 6 pages (including references) in the ACM format ("sigconf") with a 9pt font.

Important Dates

• Paper Registration Deadline: 3 Mar, 2025 → 10 Mar, 2025, 23:59 AOE
• Submission Deadline: 10 Mar, 2025, 23:59 AOE
• Notification of Acceptance: 24 Mar, 2025
• Camera Ready: 31 Mar, 2025
• Workshop Date: 6 May, 2025

General Chairs

• Yiwen Dong (yiwen@illinois.edu, University of Illinois Urbana-Champaign, USA)
• Sijie Ji (sijieji@caltech.edu, California Institute of Technology, USA)
• Yang Liu (yang.16.liu@nokia-bell-labs.com, Nokia Bell Labs, UK)

Program Chairs

• Jingping Nie (jn2551@columbia.edu, Columbia University, USA)
• Huining Li (hli83@ncsu.edu, North Carolina State University, USA)

Publicity Chair

• Stephen Xia (stephen.xia@northwestern.edu, Northwestern University, USA)

Social Media Chairs

• Ziyi Xuan (zix222@lehigh.edu, Lehigh University, USA)
• Yuang Fan (yf2676@columbia.edu, Columbia University, USA)

Web Chair

• Harshvardhan Takawale (htakawal@umd.edu, University of Maryland College Park, USA)

Steering Committee Members

• Alessandro Montanari (Nokia Bell Labs, UK)
• Fred Xiaofan Jiang (Columbia University, USA)
• Mani Srivastava (University of California, Los Angeles)
• Pei Zhang (University of Michigan, USA)

Technical Program Committee

• Dong Li (dli@umbc.edu, University of Maryland, Baltimore County, USA)
• Yu Yang (yuyang@lehigh.edu, Lehigh University, USA)
• Ashok Samraj Thangarajan (ashok.thangarajan@nokia-bell-labs.com, Nokia Bell Labs, UK)
• Ying Chen (ychen62@kennesaw.edu, Kennesaw State University, USA)
• Yang Liu (yl868@cam.ac.uk, University of Cambridge, UK)
• Hanqing Guo (guohanqi@hawaii.edu, University of Hawaiʻi at Mānoa, USA)
• Zhenyu Yan (zyyan@ie.cuhk.edu.hk, Chinese University of Hong Kong, China)
• VP Nguyen (vp.nguyen@cs.umass.edu, University of Massachusetts Amherst, USA)
• Qiang Yang (qy258@cam.ac.uk, University of Cambridge, UK)
• Marios Constantinides (marios.constantinides@cyens.org.cy, CYENS Centre of Excellence, Cyprus)
• Zongxing Xie (zxie1@kennesaw.edu, Kennesaw State University)
• Andrea Ferlini (andrea.ferlini@nokia-bell-labs.com, Nokia Bell Labs, UK)
• Ting Dang (ting.dang@unimelb.edu.au, The University of Melbourne, Australia)
• Khaldoon Al-Naimi (khaldoon.al-naimi@nokia-bell-labs.com, Nokia Bell Labs, UK)
• Dong Ma (dongma@smu.edu.sg, Singapore Management University, Singapore)
• Ananta Narayanan Balaji (ananta.balaji@nokia.com, Nokia Bell Labs, UK)
• Longfei Shangguan (longfei@pitt.edu, University of Pittsburgh, USA)
• SiYoung Jang (siyoung.jang@nokia-bell-labs.com, Nokia Bell Labs, UK)
• Tao Chen (tac194@pitt.edu, University of Pittsburgh, USA)
• Soumyajit Chatterjee (soumyajit.chatterjee@nokia-bell-labs.com, Nokia Bell Labs, UK)
• Shirui Cao (shiruicao@cs.umass.edu, University of Massachusetts Amherst, USA)
• Sangwon Choi (sangwon.choi@nokia-bell-labs.com, Nokia Bell Labs, UK)
• Chenhang Li (chenhang.li@duke.edu, Duke University, USA)
• Jingwei Sun (jingwei.sun@duke.edu, Duke University, USA)
• Amod Agrawal (amoagraw@amazon.com, Amazon, USA)

HumanSys 2025 will be held as a joint workshop in conjunction with CPS-IoT Week 2025 in Irvine, California, from May 6 to 9, 2025.

For further information on accommodation, VISA, and travel arrangements, please find more details on the CPS-IoT Week website at https://cps-iot-week2025.ics.uci.edu/venue.php#main

HumanSys 2025 will be held as a joint workshop in conjunction with CPS-IoT Week 2025 in Irvine, California.

Please visit https://cps-iot-week2025.ics.uci.edu/calls.php#main for more information.