A Theory-driven and AI-enhanced Simulation Platform for Cultivating Nutrition Literacy
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
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| _version_ | 1866913923685416960 |
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| author | Li, Shan Ding, Guozhu |
| author_facet | Li, Shan Ding, Guozhu |
| contents | This study introduces and evaluates Healthy Choice, an innovative theory-driven and AI-enhanced simulation platform designed to cultivate nutrition literacy through interactive scenario-based learning experiences. We collected feedback from 114 university students with diverse backgrounds who completed simulated product selection scenarios. Quantitative ratings of usefulness and ease of use demonstrated high user satisfaction. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_02138 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Theory-driven and AI-enhanced Simulation Platform for Cultivating Nutrition Literacy Li, Shan Ding, Guozhu Human-Computer Interaction This study introduces and evaluates Healthy Choice, an innovative theory-driven and AI-enhanced simulation platform designed to cultivate nutrition literacy through interactive scenario-based learning experiences. We collected feedback from 114 university students with diverse backgrounds who completed simulated product selection scenarios. Quantitative ratings of usefulness and ease of use demonstrated high user satisfaction. |
| title | A Theory-driven and AI-enhanced Simulation Platform for Cultivating Nutrition Literacy |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2507.02138 |