UbiSense [Emerging Techniques in Ubiquitous Sensing and Interaction] Workshop UbiComp 2026, Shanghai, China

*Call for Papers UbiSense Workshop with UbiComp 2026*

*UbiSense 2026: Emerging Techniques in Ubiquitous Sensing and Interaction
Workshop at UbiC**omp/ISWC 2026*
Date: October 11-12, 2026 |  Shanghai, China

*Overview:*

Ubiquitous sensing has become a cornerstone of modern computing, enabling
seamless interactions between humans, devices, and their surrounding
environments. Sensors embedded in wearable technologies, smart homes, urban
infrastructures, and healthcare systems continuously generate vast and
diverse data streams, capturing motion, physiological signals,
environmental conditions, and complex social dynamics. Recent advances in
artificial intelligence, particularly the rise of agentic AI, are
transforming how sensing systems operate.

UbiSense 2026 focuses on this emerging convergence of ubiquitous sensing
and agentic AI. The workshop aims to explore how autonomous agents can
actively participate in sensing pipelines, ranging from data collection and
interpretation to decision-making and interaction. This includes
intelligent sensor orchestration, automated hypothesis generation,
multi-agent coordination across modalities, and natural language interfaces
that enable intuitive human-agent collaboration. Bringing together
researchers and practitioners from ubiquitous computing, artificial
intelligence, human-computer interaction, and related domains, UbiSense
2026 seeks to advance the next generation of sensing systems that are not
only context-aware but also proactive, adaptive, and capable of meaningful
interaction.
*Topics of Interest (not limited to):*
- Autonomous AI agents for sensor data collection, analysis, and
decision-making
- Agent-orchestrated experiment pipelines for ubiquitous sensing research
- Agentic AI-driven frameworks for ubiquitous sensing
- Multi-agent systems for distributed and heterogeneous sensor networks
- Tool-augmented LLM agents for interacting with sensing infrastructure
- Automated hypothesis generation and testing on sensor datasets
- Adaptation of LLMs and foundation models for time-series and sensor data
- Model architecture and tokenisation approaches for streaming sensor data
- Multimodal fusion with agentic reasoning (e.g., vision-language-sensor
agents)
- Natural language interfaces for querying and interpreting sensor data
- Human-agent collaborative sensing and shared autonomy
- Privacy-preserving and trustworthy agentic sensing systems
- Edge computing and efficient deployment of AI agents on
resource-constrained devices
- Datasets, benchmarks, and evaluation frameworks for agentic sensing
- Applications in healthcare, smart environments, wearables, and urban
sensing

*Submission Categories:*
1. Full Papers (6 pages): Original research with novel theories, methods,
or empirical findings.
2. Short Papers (4 pages): Preliminary work, early-stage ideas, or ongoing
projects.

All papers must follow the ACM SIGCHI Master Article template as per
UbiComp/ISWC 2026 guidelines.
*Accepted papers will appear in the UbiComp/ISWC 2026 Adjunct Proceedings.*
*Workshop Website:*
https://ubisense2026.github.io/

*Submission Website:*
https://new.precisionconference.com/submissions

*Important Dates (AoE):*
- Submission Deadline: July 15, 2026 (Final Deadline)
- Notification of Acceptance: July 25, 2026
- Camera-ready Deadline: August 4, 2026
- Workshop Dates: October 11-12, 2026

*Camera-ready Instructions:*
Camera-ready papers should follow the single-column format and comply with
the final publication instructions from the UbiComp proceedings.

*Best Paper Award:*
A Best Paper Award will be presented to recognize outstanding contributions.

*Organisers:*
- Shantanu Pal, Deakin University, Australia
- Hao Xue, Hong Kong University of Science and Technology (Guangzhou), China
- Nan Gao, Nankai University, China
- Judith Heinisch, University of Kassel, Germany
- Flora Salim, University of New South Wales, Australia
- Haining Zhang, Nankai University, China

We look forward to your submissions,

Sincerely,
Team UbiSense 2026

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