ACADEMIA

This groundbreaking paper introduces a fully mobile biofeedback system leveraging smartwatch technology, enabling personalized biofeedback training in natural environments. The system transforms traditionally clinical therapies into everyday experiences, allowing for continuous monitoring and professional guidance while dramatically improving treatment effectiveness.

This paper presents a state-of-the-art biofeedback framework that integrates mind and body awareness, enabling users to gain control over involuntary physiological processes. The framework addresses significant shortcomings in existing biofeedback technologies, particularly their lack of portability and commercial viability. It is designed for use with modern IoT wearables and smart devices.

This pioneering paper presents a comprehensive framework for bipolar preference modeling using possibility theory, addressing a core challenge in the development of conscious AI systems. By distinguishing between positive preferences (desired outcomes) and negative preferences (unacceptable options), the framework offers a more nuanced approach to decision-making that mirrors human cognitive processes, establishing theoretical foundations essential for creating AI systems capable of human-like preference reasoning and ethical decision-making.