Illumination and gaze effects on face evaluation: The Bi-AGI database

Area of Science:

• Psychology
• Computer Vision
• Human-Computer Interaction

Background:

• First impressions and social attribute judgments are influenced by facial features, gaze, and environmental context.
• The combined effects of eye gaze and illumination on diverse age and gender groups remain under-explored.

Purpose of the Study:

• To investigate how facial features, gaze direction, and illumination interact to affect social attribute ratings.
• To introduce and validate the Bi-AGI Database for research on facial perception.

Main Methods:

• Creation and validation of the Bi-AGI Database, featuring male and female faces aged 18-87 years.
• Stimuli varied in gaze direction and illumination conditions.
• Collection of social attribute judgments (attractiveness, femininity-masculinity, dominance, trustworthiness).

Main Results:

• Significant interactions were found between facial features, gaze, and illumination in modulating social trait attributions.
• Illumination's impact on social ratings varied across age groups, affecting younger faces more than older ones.
• Gaze direction and gender also played interactive roles in social perception.

Conclusions:

• The interplay of gaze, illumination, age, and gender is crucial for accurate facial social attribute evaluation.
• The Bi-AGI Database provides a valuable resource for future research in facial perception and AI development.
• Understanding these modulations is essential for applications in areas like human-computer interaction and artificial intelligence.