MindLens·Lab
← Live data

Clip detail

Ryan Gosling and Harrison Ford Interview

Readers6
Emotions chosen6 of 15
Entropy2.16max ≈ 3.91
Krippendorff α-0.20
Complexitycomplex

Curated window: 0:231:05 (42s). Plays the same window each time — replays return to 0:23.

Plays only the curated 42-second window. · Embedded via the YouTube Player API · © original creators.

6READERSHappy / amused5ProudMoved / touchedAffectionate / tenderSurprisedDisappointed1Sad / sorryAngry / frustratedContempt / scorn1Anxious / nervous1Scared / afraidEmbarrassed / awkward1Confused1Neutral / calm

Each star is one emotion. Star size and brightness scale with how many readers chose it. The most-picked reading glows in peach; the AI's reading in mint.

Most-picked
AI's reading
Other readers

Full distribution

How readers split across the emotions

  • Happy / amused
    5 · 83%
  • Disappointed
    1 · 17% (0p)
  • Contempt / scorn
    1 · 17% (0p)
  • Anxious / nervous
    1 · 17% (0p)
  • Embarrassed / awkward
    1 · 17% (0p)
  • Confused
    1 · 17% (0p)

Modal reading (by mentions) · AI's readingSolid bar segment = readers who picked this as primary. Lighter extension = readers who tagged it as part of a Mixed reading.

AI's reading

What one AI saw on this clip

matches human modal

PrimaryHappy / amused

SecondaryEmbarrassed / awkward

CuesFacial expression, Body language / posture, Tone of voice, How others reacted

Why

The woman appears deeply amused, evidenced by her unrestrained laughter, broad smiles, and playful body language. Her reaction seems sparked by her own joke landing well and the actors' equally amused responses, creating a shared, chaotic moment of humor.

AI's own caveat

Her apologies and laughter could also hint at a degree of playful embarrassment at losing professional composure, though the overall feeling appears joyful.

The AI's reading is one interpretation among many. We expose it as a single point of comparison against the human spread — not as an answer key. The rationale + caveat above are the AI's own words, reviewed and approved by a human admin before publishing.

Which signals readers used

Cue distribution

Multi-select per response — totals can exceed the reader count.

  • Facial expression
    4 · 67%
  • Tone of voice
    4 · 67%
  • What they said
    4 · 67%
  • The situation
    4 · 67%
  • Body language / posture
    2 · 33%
  • How others reacted
    2 · 33%

The finding

On this clip, 83% of readers chose Happy / amused — but the rest split across 5 other emotions. The same moment, read in many ways at once. That spread is not a problem. That spread is the data.

Methodology + transparency

All counts above include only responses kept in analysis. Internal-test profiles are excluded. Free-text responses are not surfaced on this page; they pass through human moderation first and only feature on the dataset's curated quote page (forthcoming) once enough have been approved.

Want the full anonymized dataset? Email us.