MindLens·Lab

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?

  1. 1Do the AIs read plurally too?
  2. 2Does the prompt matter?
  3. 3Which model comes closest to humans?

What emotion do you read?

HappyMovedSurprisedConfusedAnxious+ more than one
Confidence
middle

Timeline · Phase 2

  1. Sep 2026· done

    Phase 1 preprints posted · Phase 2 design frozen. Pre-registration →

  2. Oct 2026· now

    Runner kickoff · all four models in parallel. Live analysis →

  3. Nov 2026

    Sustained collection · within-cell reliability checks.

  4. 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

Gemini
Claude
GPT-4o
Qwen
<0.120.12–0.240.24–0.300.30–0.400.40–0.500.50–0.600.60+waitingLive · updating as runs complete

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.

OverviewPre-registration

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?

KIM Evelyn, 2025

Artificial Intelligence in Emotional Intelligence Training for Autism

Origin paper

Phase 1 · 2026

How do people read emotion plurally — across cultures, on the same clip?

KIM Evelyn, 2026a

Human Plurality in Short Social Video Readings

How people read emotion plurally

Zenodo · 10.5281/zenodo.22251335

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 clips

Zenodo · 10.5281/zenodo.22253369

The raw data behind both papers — openly licensed so others can re-analyse.

Phase 1 · Dataset v1.0

442 responses × 33 clips × 15 emotions · 7 countries

Open on Zenodo

Zenodo · 10.5281/zenodo.22265192

Phase 1 Summary →