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| Autor principal: | |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2504.21735 |
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| _version_ | 1866910923266981888 |
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| author | Wang, Shengqian |
| author_facet | Wang, Shengqian |
| contents | Massage therapy training emphasizes hands-on techniques and effective therapist--patient communication. However, many educational programs struggle to provide realistic practice scenarios. To address this problem, we propose TheraQuest, a gamified, web-based simulation platform that employs large language models (LLMs) to generate diverse virtual patients with varying symptoms and cultural backgrounds. Through interactive dialogue, anatomical decision-making, and immediate assessment, trainees develop both diagnostic reasoning and empathetic communication skills in a low-risk environment. Unlike exclusively VR-based solutions, TheraQuest remains accessible via standard web browsers, mitigating the cost and discomfort associated with extended headset use. Preliminary testing suggests that integrating LLM-driven virtual patients with real-time skill metrics can enhance trainee engagement and help bridge the gap between theoretical knowledge and clinical proficiency. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_21735 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | TheraQuest: A Gamified, LLM-Powered Simulation for Massage Therapy Training Wang, Shengqian Computer Science and Game Theory Human-Computer Interaction Massage therapy training emphasizes hands-on techniques and effective therapist--patient communication. However, many educational programs struggle to provide realistic practice scenarios. To address this problem, we propose TheraQuest, a gamified, web-based simulation platform that employs large language models (LLMs) to generate diverse virtual patients with varying symptoms and cultural backgrounds. Through interactive dialogue, anatomical decision-making, and immediate assessment, trainees develop both diagnostic reasoning and empathetic communication skills in a low-risk environment. Unlike exclusively VR-based solutions, TheraQuest remains accessible via standard web browsers, mitigating the cost and discomfort associated with extended headset use. Preliminary testing suggests that integrating LLM-driven virtual patients with real-time skill metrics can enhance trainee engagement and help bridge the gap between theoretical knowledge and clinical proficiency. |
| title | TheraQuest: A Gamified, LLM-Powered Simulation for Massage Therapy Training |
| topic | Computer Science and Game Theory Human-Computer Interaction |
| url | https://arxiv.org/abs/2504.21735 |