feeldb

Curtains

1983 · 89 min · Director: Richard Ciupka ★ IMDb 5.5 · 7,119 ratings

Show plot summary (may contain spoilers)

Six young actresses auditioning for a movie role at a remote mansion are targeted by a mysterious masked murderer.

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Emotional fingerprint

Curtains (1983) — Movie. Top emotional signals: Tension 30%, Fear 25%, Anxiety 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

25%Fear
  1. Fear25%

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 Tension, Fear, Anxiety. Genres: Thriller, Horror. AI estimate.

Is it worth watching?

Consider this title if you are looking for Tension, Fear and Anxiety. Its IMDb rating of 5.5/10 suggests a mixed audience reception; consider how well the emotional profile suits you. For these leading emotions, its Feel Score is 58/100.

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Emotional journey

AI · from subtitles
  • Tension
  • Fear
  • Disturbing

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Tension

Dominant emotion: Disturbing

Dominant emotion: Sadness

Dominant emotion: Humor

Dominant emotion: Fear

Tension
Fear
Disturbing
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 dips around 38 %, then peaks around 83 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityTensionFearDisturbing
2.5 %≈ 2′Tension42 %38 %18 %28 %
7.5 %≈ 7′Disturbing45 %35 %18 %36 %
12.5 %≈ 11′Sadness50 %31 %16 %38 %
17.5 %≈ 16′Humor49 %31 %20 %28 %
22.5 %≈ 20′Fear43 %30 %25 %23 %
27.5 %≈ 24′Humor42 %28 %24 %23 %
32.5 %≈ 29′Humor41 %30 %23 %23 %
37.5 %≈ 33′Tension41 %35 %19 %24 %
42.5 %≈ 38′Tension42 %31 %13 %21 %
47.5 %≈ 42′Sadness47 %30 %21 %24 %
52.5 %≈ 47′Fear56 %45 %36 %41 %
57.5 %≈ 51′Disturbing53 %48 %27 %44 %
62.5 %≈ 56′Humor50 %45 %25 %35 %
67.5 %≈ 60′Tension58 %55 %40 %36 %
72.5 %≈ 65′Tension65 %63 %50 %43 %
77.5 %≈ 69′Fear75 %71 %66 %54 %
82.5 %≈ 73′Fear81 %79 %76 %56 %
87.5 %≈ 78′Tension81 %78 %73 %57 %
92.5 %≈ 82′Disturbing78 %70 %62 %66 %
97.5 %≈ 87′Disturbing73 %63 %50 %68 %
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

SE
Samantha Eggar

Samantha Sherwood

LT
Linda Thorson

LT
Linda Thorson

Brooke Parsons

AD
Anne Ditchburn

LG
Lynne Griffin

Patti O'Connor

SC
Sandee Currie

LD
Lesleh Donaldson

LD
Lesleh Donaldson

Christie Burns

DB
Deborah Burgess

JM
Joann McIntyre

Secretary

CB
Calvin Butler

Dr. Pendleton

KL
Kate Lynch

Receptionist

BS
Booth Savage

Amanda's Boyfriend

WM
William Marshall

Attendant

JK
James Kidnie

Attendant

DW
Daisy White

Roommate

ST
Shannon Tweed

Stand In / Body Double (uncredited)

RP
Richie Pierce

Gas Station Attendant

Details

Directed by
Richard Ciupka
Written by
William Gray, Robert Guza Jr.
Type
Movies
Released
1983
Runtime
89 min
Country
Canada
Ratings
★ IMDb 5.5 · 7,119 ratings
Feels mostly
Tension
Data updated

Where to watch

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Data: JustWatch · Wikidata

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