オンラインのQ&Aプラットフォームでの食事に関する質問に対するチャットGPTと人間の栄養士の回答:比較研究
Seul Ki Choi1, Yunseo Moon2, Hyunggu Jung3,4,5
1Graduate School of Urban Public Health, University of Seoul, Seoul, Republic of Korea.
Digital health
|August 27, 2025
まとめ
ChatGPTはダイエットに関する質問に対する栄養士の回答に適度な類似性を示していますが,同一ではありません. プロンプトエンジニアリングの改善により,個別化されたダイエットアドバイスの正確性が向上します.
科学分野:
- 医療における人工知能
- 栄養学
- デジタルヘルスのツール
背景:
- ダイエット情報源としてのチャットGPTの新興使用
- 専門的な栄養士とChatGPTの情報調整の理解が限られている.
研究 の 目的:
- ダイエットに関する質問に対するChatGPTの回答と,ヒトの栄養士による回答を比較する.
- 人工知能によって生み出された食事に関するアドバイスと専門家の食事に関するアドバイスの内容の類似性を評価する.
主な方法:
- 韓国のオンラインのQ&Aプラットフォームから 928の食事に関する質問と栄養士の回答を集めました.
- ChatGPT-4oを使って同じ質問に回答を生成した.
- 5つのテキスト類似度指数 (ダイス,ジャッカード,オーバーラップ,コシン,TF-IDF) を用いて回答の類似度を定量化した.
主要な成果:
- チャットGPTとダイエット療法士の回答の平均値の類似性は0. 42でした.
- 特定の詳細 (食品,分量,文脈,個人の特徴) の質問では高い類似性が認められた.
- 類似性が低いのは,主に,かなり長い応答を提供したChatGPTに起因する.
結論:
- ChatGPTは栄養士のアドバイスと内容の類似性を示すが,同一性は欠けている.
- AIによって生成された食事情報を より専門的でパーソナライズできるようにするには 迅速なエンジニアリング戦略が不可欠です
- ダイエットガイドを求めるユーザーのための信頼できるツールとしてChatGPTを最適化するには,さらなる開発が必要です.
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