Aims & Scope

The journal aims to advance research and practice at the intersection of human cognition, artificial intelligence, and augmented intelligence systems. It provides a platform for scholarly work addressing the integration of cutting-edge AI technologies into human-centered design, collaborative decision-making, adaptive user interfaces, cognitive load management, explainability frameworks, and data-driven augmentation strategies. The journal welcomes theoretical, empirical, and practice-oriented studies that contribute to the understanding and advancement of technological innovation in human-AI collaboration and augmented intelligence across global sociotechnical environments.

Single-blinded Peer Review

Committed to scientific integrity and editorial excellence, Human-AI Collaboration & Augmented Intelligence a single-blinded peer-review process and adheres to the highest ethical standards as outlined by COPE. The journal champions openness, reproducibility, and inclusivity, guaranteeing that all content is rigorously peer-reviewed and permanently open-access to accelerate knowledge exchange and worldwide impact in human-AI collaboration.

ISSN

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Abstracting & Indexing

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