feeldb

Dust in the Wind

1986 · 109 min · Director: Hsiao-Hsien Hou, Hou Hsiao-hsien ★ IMDb 7.6 · 3,719 ratings

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

  1. Love15%

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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Emotional journey

AI · from subtitles
  • 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

Empathy
Sadness
Love
Emotional journey Emotional intensity over the film’s runtime, from quieter to stronger on a fixed 0–1 scale. Hatched intervals have insufficient subtitle evidence. The table provides the values.
Ending hidden

Dominant emotion

Intensity dips around 3 %, then peaks around 43 %, then peaks around 93 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityEmpathySadnessLove
2.5 %≈ 3′Sadness25 %23 %15 %10 %
7.5 %≈ 8′Humor32 %30 %18 %14 %
12.5 %≈ 14′Empathy39 %35 %20 %13 %
17.5 %≈ 19′Tension39 %31 %15 %15 %
22.5 %≈ 25′Love39 %31 %15 %23 %
27.5 %≈ 30′Empathy41 %38 %26 %21 %
32.5 %≈ 35′Sadness44 %41 %30 %23 %
37.5 %≈ 41′Empathy51 %46 %30 %29 %
42.5 %≈ 46′Tension59 %51 %38 %26 %
47.5 %≈ 52′Empathy55 %51 %40 %25 %
52.5 %≈ 57′Empathy49 %48 %34 %25 %
57.5 %≈ 63′Empathy49 %45 %30 %21 %
62.5 %≈ 68′Empathy53 %46 %35 %23 %
67.5 %≈ 74′Sadness56 %50 %44 %25 %
72.5 %≈ 79′Empathy55 %51 %44 %29 %
77.5 %≈ 84′Love46 %43 %32 %33 %
82.5 %≈ 90′Love39 %34 %21 %31 %
87.5 %≈ 95′Love51 %45 %35 %30 %
92.5 %≈ 101′Sadness69 %61 %60 %29 %
97.5 %≈ 106′Sadness68 %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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Afterward 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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Cast

GC
Grace Chen

CW
Chien-wen Wang

Wan

SC
Shu-Fang Chen

HS
Hsin Shu-Fen

Jiang Suyun

SH
Shu-Fen Hsin

LT
Li Tian-Lu

Grandpa

MF
Mei Fang

Wan's Mother

GC
Grace Chen Shu-Fang

Jiang Suyun's Mother

YL
Yang Li-yin

Ying

LK
Lawrence Ko

Mrs. Lin's Son

DD
Danny Deng

Counselor Chief

WP
Wu Ping-nan

Freight Forwarding Boss

Details

Written by
T'ien-wen Chu, Nien-Jen Wu, Wu Nien-jen, Chu Tien-Wen
Type
Movies
Released
1986
Runtime
109 min
Country
Taiwan
Genres
Drama, Romance
Ratings
★ IMDb 7.6 · 3,719 ratings
Feels mostly
Melancholy
Data updated

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Emotion overlap shows mood similarity, not a prediction of enjoyment.