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Social interactions often rely on the interpretation of visual cues. The inaccessibility of these nonverbal signals can relegate blind and low vision (BLV) people to the social periphery and restrict their independence in forming connections with others. Many assistive technologies for BLV people focus on spatial navigation or object recognition, but there is a gap in supporting “social wayfinding”: the capacity to perceive and navigate human interaction dynamics. To address this, we explore the design space of a wearable system that provides BLV users with real-time details about the social environment. The system, SocialCue, serves as a technology probe to explore BLV people’s preferences for social navigation assistance. We conducted a two-phase formative study which identified four social attributes that the system should communicate: identity, social availability, facial expression, and physical descriptions including clothing and hairstyle. We describe the implementation of SocialCue and close by discussing our future evaluation plans.