Evaluating Human Processing of Front of Pack Nutritional Labels

评估包装正面营养标签的人工处理

基本信息

  • 批准号:
    8298163
  • 负责人:
  • 金额:
    $ 20.21万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2011
  • 资助国家:
    美国
  • 起止时间:
    2011-07-06 至 2014-05-30
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Obesity is associated with increased mortality, morbidity, and increased health care costs. Curbing the obesity epidemic by altering people's food choices would have substantial health and economic benefit. It has long been believed that one way to promote healthy eating is to provide consumers with nutritional information in the form of a nutrition facts panel (NFP) displayed on product packaging. Research on the effectiveness of this approach suggests that the traditional NFP labels are effective in promoting healthy food choices when people process the information, but that too few people attend to, encode and understand the information presented in traditional NFP labels. In an attempt to increase the positive impact of nutritional labeling, there has been a push to adopt front of panel (FOP) nutritional labels. These FOP labels present information about a few key nutrients on the front of the package, or Principle Display Panel, and include a combination of small text, icon, and/or color systems that are designed to quickly capture the attention of the consumer. Although this approach is intuitively appealing, there is little objective, experimental support validating that FOP labels result in more attention to and processing of nutritional information. Additionally, the format for presenting information in these FOPs has not been based on basic research about attention and cognitive processing. Our proposal applies basic research on visual cognition to the design of a novel FOP format that is optimized to capture attention and will require few cognitive resources to encode, comprehend, and use. Empirical methods traditionally used in basic research on attention and visual cognition (e.g., eye-tracking, change detection, and incidental memory tasks) are used to evaluate how well different FOP designs attract attention to nutritional information, induce encoding of information into memory, and facilitate rapid, cross-product nutritional comparisons. Optimizing the delivery format in this way should produce a label that successfully communicates nutritional information to a greater segment of the population, thereby empowering more people to make healthful dietary decisions, ultimately reducing obesity rates.
描述(由申请人提供):肥胖与死亡率、发病率和医疗费用增加相关。通过改变人们的食物选择来遏制肥胖症的流行将带来巨大的健康和经济效益。长期以来,人们一直认为,促进健康饮食的一种方法是以产品包装上显示的营养成分表(NFP)的形式向消费者提供营养信息。对这种方法有效性的研究表明,当人们处理信息时,传统的NFP标签在促进健康食品选择方面是有效的,但是很少有人注意、编码和理解传统NFP标签中呈现的信息。为了增加营养标签的积极影响,一直在推动采用面板前(FOP)营养标签。这些FOP标签在包装正面或原理显示面板上显示了一些关键营养素的信息,并包括小文本,图标和/或颜色系统的组合,旨在快速吸引消费者的注意力。虽然这种方法直观上很吸引人,但很少有客观的实验支持来验证FOP标签会导致对营养信息的更多关注和处理。此外,在这些FOP中呈现信息的格式并没有基于关于注意力和认知处理的基础研究。我们的提案将视觉认知的基础研究应用于设计一种新的FOP格式,该格式经过优化以捕获注意力,并且需要很少的认知资源来编码,理解和使用。传统上用于注意力和视觉认知基础研究的经验方法(例如,眼睛跟踪、变化检测和偶然记忆任务)用于评估不同FOP设计如何吸引对营养信息的注意、如何将信息编码引入记忆、以及如何促进快速的跨产品营养比较。以这种方式优化交付格式应该产生一个标签,成功地将营养信息传达给更大的人群,从而使更多的人能够做出健康的饮食决定,最终降低肥胖率。

项目成果

期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Assessing attentional prioritization of front-of-pack nutrition labels using change detection.
使用变化检测评估包装正面营养标签的注意力优先顺序。
  • DOI:
    10.1016/j.apergo.2015.11.014
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    3.2
  • 作者:
    Becker,MarkW;Sundar,RaghavPrashant;Bello,Nora;Alzahabi,Reem;Weatherspoon,Lorraine;Bix,Laura
  • 通讯作者:
    Bix,Laura
Front of Pack Labels Enhance Attention to Nutrition Information in Novel & Commercial Brands.
  • DOI:
    10.1016/j.foodpol.2015.08.001
  • 发表时间:
    2015-10-01
  • 期刊:
  • 影响因子:
    6.5
  • 作者:
    Becker MW;Bello NM;Sundar RP;Peltier C;Bix L
  • 通讯作者:
    Bix L
To See or Not to See: Do Front of Pack Nutrition Labels Affect Attention to Overall Nutrition Information?
  • DOI:
    10.1371/journal.pone.0139732
  • 发表时间:
    2015-10-21
  • 期刊:
  • 影响因子:
    3.7
  • 作者:
    Bix, Laura;Sundar, Raghav Prashant;Becker, Mark W.
  • 通讯作者:
    Becker, Mark W.
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Mark W. Becker其他文献

Chasing red herrings: Can visual distracters extend the time children take to open child resistant vials?
转移注意力:视觉干扰物会延长儿童打开儿童安全瓶的时间吗?
  • DOI:
    10.1371/journal.pone.0207738
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    3.7
  • 作者:
    Rita Chen;N. Bello;Mark W. Becker;Laura Bix
  • 通讯作者:
    Laura Bix
Emotion Enhanced Attentional Capture in Trait Anxiety
特质焦虑中的情绪增强注意力捕捉
  • DOI:
  • 发表时间:
    2011
  • 期刊:
  • 影响因子:
    0
  • 作者:
    J. Moser;Mark W. Becker;Tim P. Moran
  • 通讯作者:
    Tim P. Moran
OPTIMIZING OTC LABELING FOR USE BY OLDER ADULTS
优化 OTC 标签以供老年人使用
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    7
  • 作者:
    Laura Bix;Mark W. Becker;B. Martin;R. Breslow;L. Liu;A. Harben;S. Esfahanian
  • 通讯作者:
    S. Esfahanian
Fear Produces Efficient Visual Search for Nonthreatening Objects
恐惧会产生对非威胁性物体的有效视觉搜索
  • DOI:
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Mark W. Becker
  • 通讯作者:
    Mark W. Becker
Salient distractors influence information accrual rather than quitting threshold in visual search
  • DOI:
    10.3758/s13414-025-03104-8
  • 发表时间:
    2025-06-16
  • 期刊:
  • 影响因子:
    1.700
  • 作者:
    Mark W. Becker;Jeff Moher;Derrek T. Montalvo;Andrew Rodriguez
  • 通讯作者:
    Andrew Rodriguez

Mark W. Becker的其他文献

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{{ truncateString('Mark W. Becker', 18)}}的其他基金

Optimizing OTC labels for older adults: Empirical evaluation of labels designed to provide older users the information they need to minimize adverse drug events
优化老年人 OTC 标签:对旨在为老年用户提供最大程度减少药物不良事件所需信息的标签进行实证评估
  • 批准号:
    10380635
  • 财政年份:
    2018
  • 资助金额:
    $ 20.21万
  • 项目类别:
Optimizing OTC labels for older adults: Empirical evaluation of labels designed to provide older users the information they need to minimize adverse drug events
优化老年人 OTC 标签:对旨在为老年用户提供最大程度减少药物不良事件所需信息的标签进行实证评估
  • 批准号:
    9912730
  • 财政年份:
    2018
  • 资助金额:
    $ 20.21万
  • 项目类别:
Evaluating Human Processing of Front of Pack Nutritional Labels
评估包装正面营养标签的人工处理
  • 批准号:
    8190989
  • 财政年份:
    2011
  • 资助金额:
    $ 20.21万
  • 项目类别:

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