Researchers propose using computer vision and affective AI to detect nonverbal cues in online dating and improve safety, particularly for women

Online dating platforms currently lack nonverbal communication signals like gaze, facial expressions, body posture, and response timing that humans naturally use to gauge comfort and consent

Computer vision community has developed relevant affective tools including facial action unit detection, gaze estimation, and multimodal affect recognition but has largely overlooked dating as a research domain

Proposed fairness-first research agenda focuses on four key capabilities: real-time discomfort detection, engagement asymmetry modeling between partners, consent-aware interaction design, and longitudinal interaction summarization

The research addresses a significant safety gap with disproportionate consequences for women who lack these critical nonverbal cues during online dating interactions