Jun Rekimoto

Senior Fellow,  Sony Computer Science Laboratories - Kyoto 

Talk Title: Human-AI Integration 

Abstract: While traditional HCI (Human-Computer Interaction) is a research field that focuses on the interface between humans and machines, I advocate for Human Augmentation—humans enhanced by technology. The scope of augmentation extends beyond intellectual enhancement to encompass sensory, cognitive, physical, and existential dimensions. This augmentation extends beyond individual humans to develop into a future society called IoA (Internet of Abilities), where people and technology merge on networks and their capabilities are complementarity enhanced, leading to a world of Human-AI Integration where AI becomes integrated with human abilities. I will introduce examples such as silent speech, which enables communication without vocalization, and skill transmission systems where human vision merges with real-world agents, and discuss the future relationship between humans and technology. 

Barbara De Salvo

Director of Research, Meta Reality Labs

Talk Title: AI sensors for efficient, personalized Contextual AI

Abstract: Wearable devices that enable always-on, personalized, context-aware AI require sensing and perception systems that operate with very low power and latency. In this talk, I will discuss emerging sensor and system architectures that bring parts of the perception pipeline closer to the sensor, enabling always-on local detection and real-time ML computation while keeping the rest of the device in a low-power state. We will review key requirements for wearable sensing, outline trade-offs in traditional centralized pipelines, and highlight promising directions for efficient on-sensor ML computation. Finally, we will consider how these capabilities can unlock new interactive experiences, including seamless integration with cloud services.

Martin Gjoreski

Senior Researcher and Lecturer at the Università della Svizzera italiana (USI)

Talk Title : Responsible AI for smart eyewear in health and well-being 

Abstract: Artificial Intelligence is transforming how we understand and support human well-being. With mental health conditions now affecting one in four people globally, there is a pressing need for solutions that are effective, responsible, and accessible. Smart eyewear offers a uniquely unobtrusive platform for continuous health sensing — and when combined with responsible AI, it opens new possibilities for monitoring and improving well-being in ways that are transparent, privacy-aware, and widely available.

Drawing on multi-year interdisciplinary projects such as XAI-PAC and SmartCHANGE, and an ongoing collaboration with Emteq Labs, I will share lessons learned about human-centered design and how it ensures these tools truly serve people — covering a range of health and well-being domains: stress, mood, cognitive load, human activity recognition, and diet and nutrition monitoring, studied across both healthy and clinical populations.

Looking ahead, I will highlight the promise of explainable and trustworthy AI systems and discuss how these innovations could democratize access to mental healthcare and shape a new era of digital health — one where AI predicts, explains, and adapts to individuals, enabling people to live longer and healthier lives.