Chunlei Chai
Biographic Data
| ID | 7594560 |
|---|---|
| NAME | Chunlei Chai |
| GIVEN NAMES | Chunlei |
| FAMILY NAME | Chai |
| SIGNATURE | CHAI C |
| AFFILIATIONS | Zhejiang University |
| ORCID | 0009-0004-6150-5843 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Fostering better creativity in design education
Rumor Detection Based on Supervised Multiprototype Contrastive Learning
Graph neural networks (GNNs) have shown great promise in rumor detection by leveraging user interactions and propagation structures. However, existing GNN-based methods primarily aggregate low-frequency signals, leading to oversmoothing and the loss of distinctive features in user feedback. Additionally, the data imbalance and sparsity in social media platforms hinder the training of robust detection models. To address these challenges, this arti…
Context Connection
This study investigates the design method of integrating design resources and design materials with an explanation of the foundations of cultural psychology. It focuses on the integration of design resources and design materials in product creative design. This article outlines the design process of integrating design resources and design materials based on user centered design (UCD) and develops a design tool named “Context Connector (CC)” using…
A user experience map design method based on emotional quantification of in-vehicle HMI
The emotional experience of the driver is influenced by the design of the in-vehicle interaction interface. User experience journey maps are commonly used by designers to reveal interface design pain points and refine user needs, and further studies are required to effectively characterize and quantify user emotional needs. This study provides a method for accurately presenting a driver’s emotional experience through a human–machine interface usi…
A framework of artificial intelligence augmented design support
Recent advances in Artificial Intelligence raise interest in its participation in design activity, which is commonly considered to be complex and human-dominated. In this work, we aim to examine AI roles in early design stages. The human ideation components and design tools related to AI are discussed in a framework of AI-augmented design support. The framework develops a hierarchy of design cognition (basis), approaches and principles. The cogni…
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A framework of artificial intelligence augmented design support
Recent advances in Artificial Intelligence raise interest in its participation in design activity, which is commonly considered to be complex and human-dominated. In this work, we aim to examine AI roles in early design stages. The human ideation components and design tools related to AI are discussed in a framework of AI-augmented design support. The framework develops a hierarchy of design cognition (basis), approaches and principles. The cogni…
A user experience map design method based on emotional quantification of in-vehicle HMI
The emotional experience of the driver is influenced by the design of the in-vehicle interaction interface. User experience journey maps are commonly used by designers to reveal interface design pain points and refine user needs, and further studies are required to effectively characterize and quantify user emotional needs. This study provides a method for accurately presenting a driver’s emotional experience through a human–machine interface usi…
Context Connection
This study investigates the design method of integrating design resources and design materials with an explanation of the foundations of cultural psychology. It focuses on the integration of design resources and design materials in product creative design. This article outlines the design process of integrating design resources and design materials based on user centered design (UCD) and develops a design tool named “Context Connector (CC)” using…
Fostering better creativity in design education
Rumor Detection Based on Supervised Multiprototype Contrastive Learning
Graph neural networks (GNNs) have shown great promise in rumor detection by leveraging user interactions and propagation structures. However, existing GNN-based methods primarily aggregate low-frequency signals, leading to oversmoothing and the loss of distinctive features in user feedback. Additionally, the data imbalance and sparsity in social media platforms hinder the training of robust detection models. To address these challenges, this arti…
Computer Science (5 works) · Artificial Intelligence (3 works) · Design Education and Practice (3 works) · Creativity (2 works) · Creativity in Education and Neuroscience (2 works) · Engineering (2 works) · Human–computer interaction (2 works) · Psychology (2 works) · Systems engineering (2 works) · User experience design (2 works)