Dust in the Wind
1986 · 109 min · Director: Hsiao-Hsien Hou, Hou Hsiao-hsien
Show plot summary (may contain spoilers)
A-yuan and A-yun are both from the small mining town of Jio-fen. In the city, A-yuan is an apprentice by day and goes to night school, and A-yun works as a helper at a tailors. Everyone thinks they are meant for each other, so do they. They fail to see time and fate are beyond their control.
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Emotional fingerprint
Dust in the Wind (1986) — Movie. Top emotional signals: Melancholy 40%, Empathy 25%, Love 15%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
- Melancholy40%
- Empathy25%
- Love15%
- Sadness10%
- Nostalgia10%
AI estimate · no viewer votes yet
How we measure
AI estimate
Share of emotional signal, not the percentage of people or a probability of enjoyment.
Each viewer contributes one response, split equally across their selected emotions. When available, an automated estimate supplies a prior that is blended with those responses. Counts include distinct viewers, not automated estimates or archived anonymous votes. Fewer than 3 viewers is an early estimate; more responses do not guarantee certainty.
Why it feels this way
The strongest emotional signals are Melancholy, Empathy, Love. Genres: Drama, Romance. AI estimate.
Is it worth watching?
Consider this title if you are looking for Melancholy, Empathy and Love. Its IMDb rating of 7.6/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 73/100.
How did it make you feel?
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Pick up to three · 0/3
Emotional journey
- Empathy
- Sadness
- Love
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Sadness
Dominant emotion: Humor
Dominant emotion: Empathy
Dominant emotion: Tension
Dominant emotion: Love
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Empathy | Sadness | Love |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 3′ | Sadness | 25 % | 23 % | 15 % | 10 % |
| 7.5 % | ≈ 8′ | Humor | 32 % | 30 % | 18 % | 14 % |
| 12.5 % | ≈ 14′ | Empathy | 39 % | 35 % | 20 % | 13 % |
| 17.5 % | ≈ 19′ | Tension | 39 % | 31 % | 15 % | 15 % |
| 22.5 % | ≈ 25′ | Love | 39 % | 31 % | 15 % | 23 % |
| 27.5 % | ≈ 30′ | Empathy | 41 % | 38 % | 26 % | 21 % |
| 32.5 % | ≈ 35′ | Sadness | 44 % | 41 % | 30 % | 23 % |
| 37.5 % | ≈ 41′ | Empathy | 51 % | 46 % | 30 % | 29 % |
| 42.5 % | ≈ 46′ | Tension | 59 % | 51 % | 38 % | 26 % |
| 47.5 % | ≈ 52′ | Empathy | 55 % | 51 % | 40 % | 25 % |
| 52.5 % | ≈ 57′ | Empathy | 49 % | 48 % | 34 % | 25 % |
| 57.5 % | ≈ 63′ | Empathy | 49 % | 45 % | 30 % | 21 % |
| 62.5 % | ≈ 68′ | Empathy | 53 % | 46 % | 35 % | 23 % |
| 67.5 % | ≈ 74′ | Sadness | 56 % | 50 % | 44 % | 25 % |
| 72.5 % | ≈ 79′ | Empathy | 55 % | 51 % | 44 % | 29 % |
| 77.5 % | ≈ 84′ | Love | 46 % | 43 % | 32 % | 33 % |
| 82.5 % | ≈ 90′ | Love | 39 % | 34 % | 21 % | 31 % |
| 87.5 % | ≈ 95′ | Love | 51 % | 45 % | 35 % | 30 % |
| 92.5 % | ≈ 101′ | Sadness | 69 % | 61 % | 60 % | 29 % |
| 97.5 % | ≈ 106′ | Sadness | 68 % | 62 % | 62 % | 28 % |
Riches to rags
Rags to riches: The emotional tone rises from negative to positive.
Riches to rags: The emotional tone falls from positive to negative.
Man in a hole: The tone falls, then recovers.
Icarus: The tone rises, then falls.
Cinderella: The tone rises, falls, then rises again.
Oedipus: The tone falls, rises, then falls again.
AI reading of the film’s English subtitles (dialogue and sound cues) — not viewer votes. How we measure ↗
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Premise onlyAfterward Reveal viewer responses · may contain spoilers
Viewer responses about feelings after the title ended, separate from feelings while watching. No AI estimates.
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Feeling details appear after at least 3 viewers respond, to protect privacy.
Cast
Wan
Jiang Suyun
Grandpa
Mrs. Lin's Son
Counselor Chief
Freight Forwarding Boss
Details
- Directed by
- Hsiao-Hsien Hou, Hou Hsiao-hsien
- Written by
- T'ien-wen Chu, Nien-Jen Wu, Wu Nien-jen, Chu Tien-Wen
- Type
- Movies
- Released
- 1986
- Runtime
- 109 min
- Country
- Taiwan
- Ratings
- Feels mostly
- Melancholy
- Data updated
Feels similar
More like this →Emotion overlap shows mood similarity, not a prediction of enjoyment.





