Vol. 25 No. 1 (2025): Issue One

Research Article

• 01 Explainable AI-driven framework for automated design innovation assessment: A hybrid deep learning approach for creative work evaluation

  Xiaoli Shen, Lingyan zhang, Muling Huang, Dongjun Wu

  1-32

  • pdf

• 02 Advancing design innovation through critical technical practice a digital methods approach for sensory media research

  Ouyong; Junping Wang

  1-18

  • pdf

• 03 AI-driven modes revea cognitive dynamics of coaborative design innovation: A muti-moda approach to understanding designer interaction patterns

  Sha Huang, Lanqing Huang

  1-34

  • pdf

• 04 Design-Driven Federated Learning Framework for Multimodal Neurodevelopmental Assessment: A Human-Centered Approach to Pediatric Mental Health Screening

  Yifan Ying; Boxiao Xu

  1-11

  • pdf

• 05 AI-assisted inclusive interaction design system for users with cognitive differences

  Caihong He, Yibo Deng

  1-17

  • pdf

• 06 Multi-objective and context-adaptive product morphology innovations by machine learning

  Haoran Wang, Xingbo Chen

  1-25

  • pdf

• 07 Digital design tool accessibility drives innovation disparities across user populations

  Siyu Ying, Yousheng Yao

  1-13

  • pdf

• 08 Interactive Design Assessment Framework for Digital Learning Environments: A Comprehensive Evaluation System for Children's Cognitive-Behavioral Engagement Patterns

  Hua Chen, Weixing Ying

  1-23

  • pdf