Design and Artificial Intelligence

Open access

ISSN: 3050-7413

Design and Artificial Intelligence

Open access

Editor-in-Chief

Yunhe Pan

Editorial Board

Aims and scope

Design and Artificial Intelligence (DAI) is a peer-reviewed international journal dedicated to advancing interdisciplinary research at the intersection of ...

Aims and scope

Design and Artificial Intelligence (DAI) is a peer-reviewed international journal dedicated to advancing interdisciplinary research at the intersection of design and artificial intelligence (AI). The goal of DAI is to serve as a leading platform of scholarly exchange and innovation in the integration of design and artificial intelligence through a multidisciplinary approach.

The journal aims to:

  • facilitate research that bridges the gap between the design and artificial intelligence;

  • promote the development and application of innovative AI technologies and methodologies in design contexts;

  • explore the implications of AI on new design theories, practices and education;

  • investigate human-computer (AI) interaction paradigms emerging from the integration of AI in design processes; and

  • encourage critical discourse on the ethical, social, and cultural impacts of AI-driven design.

Scope

DAI welcomes original research articles, review papers, case studies and theoretical frameworks that contribute to the advancement of knowledge in this rapidly evolving field. The journal seeks submissions from researchers, practitioners and educators working in areas including, but not limited to, artificial intelligence, design theory and practice, and human-computer interaction.

Artificial intelligence

  • AI algorithms and models for design

  • AI tools and applications in design

  • Empirical studies of AI technologies and systems

Design theory and practice (with AI)

  • Design theories and methodologies

  • Social and cultural perspectives of design

  • User research, prototyping, and evaluation methods

Human-Computer (AI) Interaction

  • HCI Theories, methods, techniques, and applications

  • Human-AI interaction

  • Computational interaction

Editorial Board

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