The 1st HeadSys workshop comes at a critical juncture where headcentric computing research, encompassing sensing, communication, and computing-based systems, has become increasingly prominent in the mobile and ubiquitous computing space. Head-worn devices occupy a uniquely privileged position on the human body, offering unparalleled access to physiological signals, environmental context, and natural modalities for human-computer interaction. With rapid
advancements in smart glasses, smart earbuds, and AR/VR headsets, head-based systems are poised to reshape how we augment human perception, cognition, and communication.

HeadSys will provide a venue for presenting current research
and technology trends, and debating future research agendas in head-based intelligent systems. The workshop spans the full ecosystem of head-based wearables, including smart earbuds and hearables, smart glasses, VR/AR/XR headsets, head-mounted displays, brain-computer interfaces, and other multimodal sensing platforms, examining both hardware innovations and the software intelligence that powers them.

We solicit papers of six or fewer pages that present preliminary research in broad areas of head-based computing, with efforts inclusive of prototyping a system, experience in designing a novel technology, or survey of useful tools for designing interdisciplinary systems and applications. We also encourage position papers that propose new directions for research or advocate disruptive design ideas and project applications. We further encourage submissions that can help bootstrap exploration of the head-based computing space by the broader mobile systems community.
The focus areas include, but are not limited to:

• Smart glasses and optical head-mounted displays
• Ear-worn wearables, hearables, and smart earbuds
• AR/VR/XR systems
• Brain-computer interfaces and neural sensing
• Intra-oral or mouth-based sensing
• LLM/VLM-powered head-worn intelligence and agentic applications
• Multi-device coordination and interplay between head-worn wearables
• Electromyography (EMG) and facial gesture interfaces
• Gaze tracking, eye-based interaction, and attention monitoring
• Head-based health monitoring (e.g., cardiovascular, neurological, auditory)
• Bone conduction, in-ear, and around-ear sensing modalities
• Head-based activity recognition and context awareness
• AI on head-worn devices: on-device ML/DL for resource-constrained platforms
• Audio augmented reality and spatial audio/video computing
• Privacy-preserving architectures for always-on head-worn sensing
• Head-worn devices for accessibility and assistive technology
• Cognitive augmentation and affective computing with head-worn wearables
• Social acceptability and human factors in head-worn computing
• Novel energy management for head-based systems
• Head-worn biometrics for authentication
• Haptics and feedback mechanisms for head-worn devices
• Head-worn infrastructure and toolkits (hardware/software, custom/open source)
• Novel sensor integration and fabrication for head-worn form factors