Soojin Jeong

Papers

1

Total Citations

2

H-Index

1

About

Soojin Jeong is an emerging researcher at the intersection of human-computer interaction, child-computer interaction, and artificial intelligence literacy. Her work focuses on understanding how young users — particularly children ages 5 to 12 — conceptualize, interpret, and engage with generative AI technologies such as large language models and image generation systems. Her most notable work, "Children's Mental Models of Generative Visual and Text Based AI Models" (2024), addresses a timely and underexplored question: as tools like ChatGPT and DALL-E become increasingly embedded in everyday life, how do children make sense of them? By investigating the mental frameworks children construct around these systems, Jeong's research lays important groundwork for designing age-appropriate AI interfaces and developing meaningful AI literacy education. Though early in her publishing trajectory with 2 citations to date, her scholarship tackles a frontier topic with significant implications for educators, designers, and policymakers navigating the rapid integration of generative AI into children's lives. Her research positions her as a promising voice in the growing conversation around responsible and child-centered AI design.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Children's Mental Models of Generative Visual and Text Based AI Models
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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