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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2512.12356 |
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| _version_ | 1866915673212452864 |
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| author | Li, Yueshen Unnikrishnan, Krishnaveni Agrawal, Aadya |
| author_facet | Li, Yueshen Unnikrishnan, Krishnaveni Agrawal, Aadya |
| contents | Research on relationship quality often relies on lengthy questionnaires or invasive textual corpora, limiting ecological validity and user privacy. We ask whether a sequence of single-word choices made in a playful setting can reveal personality and predict interpersonal compatibility. We introduce the Tacit Understanding Game (TUG), a two-player online word association game. We collect word choice traces, annotate a subset with psychological ground truth scales, and bootstrap a larger synthetic corpus via large language model simulation. TUG demonstrates that minimal, privacy preserving signals can support relationship matching, offering new design space for social platforms. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_12356 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Tacit Understanding Game (TUG): Predicting Interpersonal Compatibility Li, Yueshen Unnikrishnan, Krishnaveni Agrawal, Aadya Human-Computer Interaction Research on relationship quality often relies on lengthy questionnaires or invasive textual corpora, limiting ecological validity and user privacy. We ask whether a sequence of single-word choices made in a playful setting can reveal personality and predict interpersonal compatibility. We introduce the Tacit Understanding Game (TUG), a two-player online word association game. We collect word choice traces, annotate a subset with psychological ground truth scales, and bootstrap a larger synthetic corpus via large language model simulation. TUG demonstrates that minimal, privacy preserving signals can support relationship matching, offering new design space for social platforms. |
| title | Tacit Understanding Game (TUG): Predicting Interpersonal Compatibility |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2512.12356 |