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arXiv · 2604.19276

Designing Transparent AI-Mediated Language Support for Intergenerational Family Communication

Sora Kang·Youjin Hwang·Joonhwan Lee
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Abstract

Intergenerational linguistic differences pose challenges to effective and intimate family communication. This paper presents GenSync, a chat-based interface that supports intergenerational understanding through different forms of translation visibility. We conducted a controlled within-subjects study with 16 family dyads (32 participants), comparing three conditions: no translation, black-box translation, and transparent translation that displays both original and interpreted messages. The results show that translation visibility plays a critical role in shaping conversational experiences. Transparent translation supported conversational quality, intimacy, and usability, while black-box translation often disrupted conversational flow. These findings position intergenerational language support as a form of interpretive mediation and contribute design implications for AI-mediated communication in socially sensitive contexts.

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Sora Kang, Youjin Hwang, Joonhwan Lee. 2026-04-21. Designing Transparent AI-Mediated Language Support for Intergenerational Family Communication. https://doi.org/10.1145/3802974.3809413

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