In Your Eyes
2014 · 106 min · Director: Brin Hill
Show plot summary (may contain spoilers)
In the frozen East Coast winter, Rebecca is withering away in a life of cocktail parties and lonely nights as the sheltered, soft-spoken wife of a successful doctor. Across the country in sun-drenched New Mexico, charismatic ex-con Dylan is struggling to find his footing and a fresh start. When these polar opposites realize they share an inexplicable connection, a unique metaphysical romance begins.
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Emotional fingerprint
In Your Eyes (2014) — Movie. Top emotional signals: Love 35%, Hope 25%, Empathy 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
- Love35%
- Hope25%
- Empathy20%
- Anxiety10%
- Satisfaction10%
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 Love, Hope, Empathy. Genres: Romance, Fantasy. AI estimate.
Is it worth watching?
Consider this title if you are looking for Love, Hope and Empathy. Its IMDb rating of 6.9/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 72/100.
How did it make you feel?
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Pick up to three · 0/3
Emotional journey
- Tension
- Sadness
- Love
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Tension
Dominant emotion: Humor
Dominant emotion: Curiosity
Dominant emotion: Sadness
Dominant emotion: Love
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Tension | Sadness | Love |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 3′ | Tension | 39 % | 30 % | 16 % | 2 % |
| 7.5 % | ≈ 8′ | Humor | 38 % | 23 % | 15 % | 4 % |
| 12.5 % | ≈ 13′ | Humor | 39 % | 20 % | 17 % | 11 % |
| 17.5 % | ≈ 19′ | Curiosity | 43 % | 23 % | 12 % | 17 % |
| 22.5 % | ≈ 24′ | Curiosity | 46 % | 20 % | 8 % | 16 % |
| 27.5 % | ≈ 29′ | Curiosity | 46 % | 14 % | 19 % | 20 % |
| 32.5 % | ≈ 34′ | Sadness | 43 % | 14 % | 25 % | 23 % |
| 37.5 % | ≈ 40′ | Humor | 40 % | 26 % | 17 % | 18 % |
| 42.5 % | ≈ 45′ | Tension | 45 % | 34 % | 8 % | 16 % |
| 47.5 % | ≈ 50′ | Humor | 50 % | 28 % | 7 % | 20 % |
| 52.5 % | ≈ 56′ | Humor | 50 % | 26 % | 16 % | 27 % |
| 57.5 % | ≈ 61′ | Love | 52 % | 24 % | 34 % | 34 % |
| 62.5 % | ≈ 66′ | Sadness | 57 % | 24 % | 48 % | 40 % |
| 67.5 % | ≈ 72′ | Love | 58 % | 32 % | 41 % | 40 % |
| 72.5 % | ≈ 77′ | Tension | 59 % | 39 % | 38 % | 36 % |
| 77.5 % | ≈ 82′ | Sadness | 67 % | 44 % | 47 % | 39 % |
| 82.5 % | ≈ 87′ | Tension | 73 % | 61 % | 41 % | 33 % |
| 87.5 % | ≈ 93′ | Tension | 77 % | 75 % | 26 % | 21 % |
| 92.5 % | ≈ 98′ | Tension | 71 % | 63 % | 18 % | 24 % |
| 97.5 % | ≈ 103′ | Love | 55 % | 35 % | 20 % | 30 % |
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 ↗
Afterward Reveal viewer responses · may contain spoilers
Viewer responses about feelings after the title ended, separate from feelings while watching. No AI estimates.
0 responses so far
Feeling details appear after at least 3 viewers respond, to protect privacy.
Cast
Stan
Young Lyle
Male Nurse
Details
- Directed by
- Brin Hill
- Written by
- Joss Whedon
- Type
- Movies
- Released
- 2014
- Runtime
- 106 min
- Country
- United States
- Ratings
- Feels mostly
- Love
- Data updated
Where to watch
Feels similar
More like this →Emotion overlap shows mood similarity, not a prediction of enjoyment.





