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Aesthetics in Creative Technology

Nik Zulkarnaen Khidzir (Universiti Malaysia Kelantan, Malaysia), Khairul Azhar Mat Daud (Universiti Malaysia Kelantan, Malaysia), and Hana Yazmeen Hapiz (Universiti Malaysia Kelantan, Malaysia)
Projected Release Date: July, 2026 | Copyright: © 2027 | Pages: 400

Publication Status: Coming Soon
ISBN13: 9798337380698
ISBN13 Softcover: 9798337380704
EISBN13: 9798337380711
DOI: 10.4018/979-8-3373-8069-8

Description:

Aesthetic principles are continually evolving as emerging technologies reshape how artists and designers create, perceive, and engage with their work. As algorithmic systems, immersive environments, and responsive materials become embedded in creative processes, they introduce new ways of thinking about form, authorship, and experience. These shifts move aesthetics away from static objects toward dynamic, interactive encounters that unfold across time, space, and multiple senses. At the same time, they bring forward deeper considerations around inclusion, bias, and environmental impact, expanding what it means for work to be meaningful and responsible. Together, these developments signal a broader transformation in creative practice, where adaptability, hybridity, and collaboration across human and technological systems define the evolving landscape of aesthetic expression.

Aesthetics in Creative Technology examines how aesthetic principles evolve as emerging technologies reshape creative practice. Drawing on global case studies and interdisciplinary theory, this book maps the dialogue between code and craft to evaluate beauty, meaning, and ethics in technologically mediated creation. Covering topics such as artificial intelligence, cultural aesthetics, and visual data analysis, this book is an excellent resource for professionals, researchers, digital artists, XR developers, game designers, design-led technologists, and more.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Aesthetic Principles
  • Artificial Intelligence (AI)
  • Community Engagement
  • Creative Inclusion
  • Creative Technology
  • Creativity Detection
  • Cultural Aesthetics
  • Digital Filmmaking
  • Game Design
  • Generative Models
  • Machine Learning (ML)
  • Spatial Aesthetics
  • Virtual Reality (VR)
  • Visual Data Analysis

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