Mutual Gaze¶

Source: Phenomena/Default/mutual_gaze.py

What It Is¶

Mutual gaze (eye contact) occurs when two participants are looking directly at each other at the same time. It is one of the most fundamental social signals in face-to-face interaction. MindSight detects mutual gaze on a per-pair, per-frame basis using bidirectional ray-to-face intersection tests.

Research Context¶

Mutual gaze is studied across social cognition, developmental psychology, and conversational analysis. It plays a central role in social bonding, turn-taking regulation during conversation, and the establishment of shared intentionality. Researchers measure its frequency, duration, and timing to understand interpersonal dynamics in contexts ranging from parent-infant interaction to clinical interviews.

How MindSight Detects It¶

For every unique pair of detected faces (i, j) in each frame:

Cast person i's gaze ray and test whether it intersects person j's face bounding box using Liang-Barsky ray-AABB intersection.
Cast person j's gaze ray and test whether it intersects person i's face bounding box.
If both intersections succeed in the same frame, mutual gaze is recorded for that pair.

The detection scope respects the --detect-extend flag, which controls how far gaze rays extend for phenomena-level intersection tests.

flowchart TD
    A[For each face pair i, j] --> B{Ray i hits face j?}
    B -- No --> F[No mutual gaze]
    B -- Yes --> C{Ray j hits face i?}
    C -- No --> F
    C -- Yes --> D[Mutual gaze detected for pair i,j]
    D --> E[Increment pair frame counter]

Parameters¶

Flag	Type	Default	Description
`--mutual-gaze`	bool	`False`	Enable mutual gaze tracking
`--all-phenomena`	bool	`False`	Enable all phenomena including mutual gaze

Output¶

CSV (mutual_gaze section): - Per-pair columns: pair (e.g., P0_P1), frames (number of mutual gaze frames), pct (percentage of total frames)

Dashboard: A "MUTUAL GAZE" panel displaying currently active pairs (e.g., "P0 <-> P1") highlighted in real time.

Console: Per-pair frame counts printed at the end of the session.

Example¶

python MindSight.py --source video.mp4 --mutual-gaze

This enables mutual gaze detection with default settings. Every frame where two participants are looking at each other is counted and reported.

Social Referencing -- builds on face-directed gaze as the first step before redirecting to an object
Gaze Following -- tracks sequential gaze shifts between participants