Man Ding

Hebei University of Technology

Papers

1

Total Citations

34

H-Index

1

About

Dr. Man Ding is a leading researcher in product design and human-computer interaction, with a focus on emotional design and artificial intelligence integration. Her most-cited work, "Product color emotional design based on a convolutional neural network and search neural network" (2021, 34 citations), introduces a groundbreaking approach that leverages deep learning to bridge the gap between user emotions and product aesthetics. By combining convolutional neural networks with search neural networks, Dr. Ding developed a method to systematically predict and optimize color schemes that evoke specific emotional responses, addressing a critical challenge in social manufacturing and user-centered design. This work has been widely recognized for its practical implications in industries ranging from consumer electronics to automotive design. Dr. Ding’s research not only advances computational design methodologies but also provides actionable tools for designers to create emotionally resonant products. Her contributions highlight the transformative potential of AI in enhancing user experience, making her a key figure in the evolving field of emotional design.

Research Focus

Key Achievements

1
H-Index
1
Papers
34
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
Product color emotional design based on a convolutional neural network and search neural network
34 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Hebei University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago