HUMAN With AI – Exploring Anthropomorphic Interfaces
Research Insights: Effects of AI Anthropomorphism on Learning Experience
Impact
- Demonstrated that AI interface types affect immersion, cognitive load, and satisfaction differently depending on learner proficiency, providing empirical evidence for adaptive AI learning design.
- Identified a clear trade-off in human-like AI interfaces— offering higher immersion and satisfaction but also increasing psychological burden, especially for low-proficiency learners.
- Revealed that simplified, low-burden interfaces are more effective for beginner learners, providing actionable UX insights for personalized AI education platforms.
Role
UX Researcher / Product Designer
Timeline
May – Aug 2024 (3 Months)
Team
1 Researcher
Tools
Figma
Illustrator
Photoshop
SPSS / Excel
Contribution
Led research and design on AI-driven conversation prototypes, focusing on user immersion, cognitive load, and learning satisfaction across different levels of anthropomorphism.
- Designed and tested four AI interface types (text, animal, avatar, human-like).
- Conducted quantitative + qualitative analysis with 100 learners.
- Created adaptive UI prototypes reflecting level-based insights.
