Designing Transparent AI-Mediated Language Support for Intergenerational Family Communication
Sora Kang, Youjin Hwang, Joonhwan Lee

TL;DR
This paper introduces GenSync, a chat interface that enhances intergenerational family communication by making translation processes transparent, thereby improving conversational quality and intimacy.
Contribution
It presents a novel transparent translation interface for AI-mediated communication and evaluates its impact on family interactions.
Findings
Transparent translation improves conversational quality and intimacy.
Black-box translation disrupts conversational flow.
Translation visibility influences user experience and usability.
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…
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