The Nonverbal Gap: Toward Affective Computer Vision for Safer and More Equitable Online Dating
Ratna Kandala, Niva Manchanda, Akshata Kishore Moharir

TL;DR
This paper advocates for developing affective computer vision tools to improve safety and equity in online dating by addressing nonverbal communication gaps and emphasizing ethical, fairness, and privacy considerations.
Contribution
It proposes a research agenda for affective CV in online dating, emphasizing fairness, consent, and longitudinal analysis, and highlights the need for purpose-built datasets and ethical guidelines.
Findings
Identifies nonverbal cues as critical for safety in online dating.
Proposes a fairness-first research agenda with four capability areas.
Calls for ethical data collection and on-device processing to protect privacy.
Abstract
Online dating has become the dominant way romantic relationships begin, yet current platforms strip the nonverbal cues: gaze, facial expression, body posture, response timing, that humans rely on to signal comfort, disinterest, and consent, creating a communication gap with disproportionate safety consequences for women. We argue that this gap represents both a technical opportunity and a moral responsibility for the computer vision community, which has developed the affective tools, facial action unit detection, gaze estimation, engagement modeling, and multimodal affect recognition, needed to begin addressing it, yet has largely ignored the dating domain as a research context. We propose a fairness-first research agenda organized around four capability areas: real-time discomfort detection, engagement asymmetry modeling between partners, consent-aware interaction design, and…
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