computerhuman

ComputerHuman is a conceptual framework describing the integrated relationship between people and computing systems in which digital technology extends, augments, or complements human cognition and action. The term emphasizes bidirectional interaction, with computers not only processing data but also adapting to human intent and context to support decision making, perception, and physical capability.

The concept draws on ideas of human-computer interaction and human-machine symbiosis, focusing on seamless collaboration rather than simple input output. It envisions multiple layers of augmentation, including cognitive augmentation through AI assistance, perceptual augmentation via augmented reality, and motor or sensory augmentation via interfaces such as neuroprosthetics or haptic devices.

Key technologies associated with the ComputerHuman concept include brain-computer interfaces, wearable sensors, natural language processing, generative AI, and edge computing. Interfaces prioritize low latency, high reliability, and safety, while design emphasizes user agency, explainability, and privacy.

Applications span healthcare, industrial automation, education, and accessibility. Examples range from neurorehabilitation and adaptive tutoring to collaborative robotics and real-time decision support in complex environments.

Ethical, legal, and social considerations include data governance, equity of access, autonomy, consent, and safety risks. The term remains largely conceptual and used to frame research agendas rather than denote a single standard technology.