Designing Transparent AI-Mediated Language Support for Intergenerational Family Communication

Fuente: arXiv
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Hauptverfasser: Kang, Sora, Hwang, Youjin, Lee, Joonhwan
Format: Preprint
Veröffentlicht: 2026
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author Kang, Sora
Hwang, Youjin
Lee, Joonhwan
author_facet Kang, Sora
Hwang, Youjin
Lee, Joonhwan
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2604_19276
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Designing Transparent AI-Mediated Language Support for Intergenerational Family Communication
Kang, Sora
Hwang, Youjin
Lee, Joonhwan
Human-Computer Interaction
H.5.2; I.2.7; H.1.2
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.
title Designing Transparent AI-Mediated Language Support for Intergenerational Family Communication
topic Human-Computer Interaction
H.5.2; I.2.7; H.1.2
url https://arxiv.org/abs/2604.19276