用户对图像辅助饮食回忆的偏好:比较3种饮食评估方法的定性研究
Janelle D Healy1, Christina M Pollard1,2, Clare E Collins3,4
1Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia.
JMIR human factors
|December 30, 2025
概括
技术辅助的24小时饮食回忆 (24HR) 方法需要用户友好. 定性研究表明,参与者更喜欢易于使用的工具,并发现图像有助于回忆,强调需要减少饮食评估的负担.
科学领域:
- 营养与饮食学 营养与饮食学
- 人与计算机的交互
- 定性研究方法 定性研究方法
背景情况:
- 技术辅助的24小时饮食回忆 (24HR) 方法可用于人口饮食评估.
- 挑战包括平衡准确性,成本,参与者负担和可接受性.
- 对于理解24HR可接受性的障碍和推动者,定性方法尚未得到充分探索.
研究的目的:
- 探索三个技术辅助的24HR方法的用户体验,可接受性和偏好.
- 确定采用这些饮食评估工具的障碍和推动因素.
- 为开发以用户为中心的饮食评估技术提供信息.
主要方法:
- 一项交叉对照养研究,涉及26名参与者 (21-56岁).
- 参与者使用了三个24HR方法:自动自行管理的24小时饮食评估工具 (ASA24),摄入量24和图像辅助采访者管理的24小时饮食回忆 (IA-24HR).
- 研究后进行了半结构化采访,用诱导性内容分析对音频录音进行了转录和分析.
主要成果:
- 参与者希望使用方便; 技术功能通常是有帮助的.
- 关键主题包括部分大小估计和食品识别的困难.
- 使用移动食品记录 (mFR) 应用程序图像的图像辅助采访者管理的24小时饮食回忆 (IA-24HR) 方法是首选的,用于帮助回忆和感知准确性.
结论:
- 24HR方法必须优先考虑易用性和简单性.
- 减少参与者在食品识别和份额估计方面的负担至关重要.
- 定性见解对于开发可接受和有效的技术辅助饮食评估工具至关重要,嵌入式技术,如个人食品图像,显示出有希望.
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