An independent research project byEvelyn Kim·since 2024
Phase 2 · Multi-AI Calibration Study
Oct – Dec 2026
Do frontier AIs read emotion the plural way humans do?
The current research asks
Phase 1’s finding that humans don’t fully agree led to the Phase 2 question — what about AI?
- 1Do the AIs read plurally too?
- 2Does the prompt matter?
- 3Which model comes closest to humans?
What emotion do you read?
Timeline · Phase 2
Sep 2026· done
Phase 1 preprints posted · Phase 2 design frozen. Pre-registration →
Oct 2026· now
Runner kickoff · all four models in parallel. Live analysis →
Nov 2026
Sustained collection · within-cell reliability checks.
Dec 2026
Analysis · preprint drafting · target close 12/31.
Live JSD grid · 4 models × 32 clips
Progress
617/ 1,920· 32%
· last run 9h ago
ModelsGemini 2.5 Pro · Claude Sonnet 4.5 · GPT-4o · Qwen 3.8 27B
Each row is a model; each column is one clip. Cell color = that model's Jensen–Shannon divergence from the plural human reading on that clip. Greener = closer to humans.
Completed Research·2024 – Aug 2026
Four years ago, a small question — how hard it is to read someone else’s emotion — turned out to be much larger.
Phase 0 · 2024 – 2025
What AI tools for emotional-intelligence learning already exist — and where do they fall short?
Phase 1 · 2026
How do people read emotion plurally — across cultures, on the same clip?
How does a single AI read those same clips?
KIM Evelyn, 2026b
Where One AI Diverges from Plural Human Readings
How a single AI reads the same clipsThe raw data behind both papers — openly licensed so others can re-analyse.




