Towards Human-Centered Interaction with UAV Swarms: Framework, System Design, and User Study
Available online 4 September 2025
As Unmanned Aerial Vehicle (UAV) swarms gain traction in military, logistics, and emergency response scenarios, the demand for “one-to-many” UAV swarm controlling continues to grow, positioning Human-Swarm...
Visual style transfer for cultural heritage: A comprehensive review of techniques and applications
Available online 1 September 2025
Visual style transfer (VST) is a significant research direction in artificial intelligence. Initially applied in the art industry, it has now been widely adopted across various fields such as painting,...
Design of prompt language in navigation systems: an empirical study of intelligent vehicle
Available online 28 August 2025
One critical aspect when people interact with the intelligent system is the language that it uses in messaging, but little is known about what type of information should be imparted and how people will...
Design for Intelligent Interaction CAE Software:A Hybrid Recommendation-Based Approach to Improve Simulation Workflow Efficiency
Available online 25 August 2025
Engineering simulation software, as a core tool in Computer-Aided Engineering (CAE), plays a critical role in supporting industrial design and computational analysis. However, the complexity of its...
Designing Interactive Pneumatic Interfaces for Enhanced Movie Responses
Available online 26 July 2025
Movies, as a comprehensive art form, have traditionally focused on visual and auditory elements, with most advancements aimed at enhancing resolution and sound quality. However, innovative technologies...
Research on Human-Machine Collaborative Innovation Methods in Design Education Inspired by the Learning Mechanism of Generative Adversarial Networks
Available online 18 July 2025
This study explores dual innovations in human-computer collaborative design education methods and learning mechanisms, based on Generative Adversarial Network (GAN) technology and its underlying learning...
Painting++: Human-Computer Collaborative Painting in VR with Multisensory Interaction
Available online 11 July 2025
Extensive human-computer collaborative painting systems have been explored to assist people in ideating and creating the content of paintings. Recently, the popularity of VR has opened up the novel...
Examining the impact of large language models on design: Functions, strengths, limitations, and roles
June 2025
Large Language Models (LLMs) are advancing design activities with human-like generative capabilities and context awareness, holding more significant potential compared to the previous discriminative...
Inaugural Editorial
March 2025
Intuitive interaction flow: A dual-loop human‒machine collaboration task allocation model and an experimental study
March 2025
This study investigates the issue of task allocation in human‒machine collaboration (HMC). By integrating philosophical insights and cognitive science, it clearly defines two typical modes of human...
Adaptive shopping malls: Probabilistic spatial layouts with graph neural networks
March 2025
We propose an adaptive method for optimizing shopping mall layouts via graph neural networks (GNNs). Traditional architectural datasets, often presented as floor plans rather than graphs, explore the...
Creative combinational design through generative AI in different dimensional representations: An exploration
March 2025
Although generative AI models are increasingly integrated into creative work, there is limited evidence on how dimensional representations of generative AI—text, image, and 3D—impact the creative process....
Bridging cultural gaps in product design: A cross-cultural supervisor approach using large language model
March 2025
Cross-cultural design in the globalized marketplace faces the challenges of linguistic, geographical, and cultural complexity, which limits designers’ ability to create good cross-cultural product designs....
Context-aware human motion generation: A comprehensive survey
March 2025
•Comprehensive Literature Review: This paper offers an extensive and systematic review of existing research on context-aware human motion generation, covering key components such as motion representation...