Designing Transparent AI-Mediated Language Support for Intergenerational Family Communication
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arXiv
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| Format: | Preprint |
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2026
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| _version_ | 1866917425630412800 |
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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 |
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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 |