同样,只是不同:基于智能手机的饮食生态瞬间评估工具在复杂性,可用性和主动信息处理方面各不相同
Anila Allmeta1, Stephen Sutton2, Laura M König1,3
1Faculty of Life Sciences: Food, Nutrition and Health, University of Bayreuth, Kulmbach, Germany.
British journal of health psychology
|January 29, 2026
概括
在生态瞬间评估 (EMA) 研究中,更复杂的饮食评估工具增加了主动信息处理 (AIP). 然而,这种复杂性并没有影响参与者的与饮食有关的想法或行为,这凸显了研究人员的权衡.
科学领域:
- 行为科学 行为科学
- 营养科学 营养科学
- 心理学 心理学 心理学
背景情况:
- 生态瞬间评估 (EMA) 被广泛用于实时评估饮食摄入量.
- 现有的EMA工具在功能上有很大的差异,影响了用户体验和数据收集.
- EMA特征的复杂性可能会影响参与者的参与和认知处理.
研究的目的:
- 调查EMA中更复杂的饮食评估工具是否会诱导更强的积极信息处理 (AIP).
- 检查EMA特征和参与者AIP的数量和类型之间的关系.
- 评估EMA工具复杂性对与饮食相关的认知,意图和行为的影响.
主要方法:
- 一个预先注册的,在线的,受试者之间的实验研究.
- 373名参与者被随机分配到看八个EMA协议模型之一.
- 参与者评价了协议的复杂性,AIP,以及对饮食行为的感知影响.
主要成果:
- 具有更多功能的协议被认为更复杂.
- 感知复杂性的增加与更高的AIP相关.
- 没有发现与饮食相关的认知,意图或行为的感知影响有显著差异.
结论:
- EMA工具的复杂性影响参与者积极处理信息.
- 研究人员必须平衡数据需求与工具复杂性,以确保合规性.
- 仔细选择EMA协议对于研究有效性至关重要.
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