Menu to Meal (M2M): Evaluating the Effectiveness of a Digital Nutritional Labeling Intervention in Hispanic Restaurant Settings

Texas A&M University1 个研究点分布在 1 个国家目标入组 242 人开始时间: 2025年11月17日最近更新: 2026年7月9日

干预措施

试验速览

阶段: 不适用
状态: 已完成
发起方: Texas A&M University
入组人数: 242
试验地点: 1
主要终点: Attitudes Toward Healthy Menu Choices

研究概览研究设计入排标准研究组 & 干预措施结局指标研究者研究点记录与标识符相似试验

研究概览

简要总结

This study evaluates the impact of culturally tailored menu labeling interventions on psychosocial factors and ordering behavior among customers in two independently owned Hispanic restaurants in East-Central Texas. Participants will be exposed to one of three sequential menu conditions at each restaurant: (1) a standard menu without nutrition information, (2) a paper menu with bilingual nutrition labels, or (3) a digital menu app enhanced with Augmented Reality (AR) and Artificial Intelligence (AI) providing interactive nutrition guidance. The study will assess whether menu formats influence nutrition literacy, decision-making confidence, self-efficacy, attitudes, behavioral intentions, and actual ordering behavior. Data will be collected through surveys, purchase receipts, and app interaction logs.

详细描述

Detailed Description:

This study aims to design and evaluate a culturally tailored, bilingual menu labeling intervention incorporating AR and AI features in small, independently owned Hispanic restaurants. The intervention seeks to promote informed food ordering by targeting psychosocial constructs known to influence food choice. Three sequential conditions will be implemented: (1) baseline with standard menus and no nutrition labels, (2) paper menus with visible bilingual nutrition labels, and (3) a digital AR/AI-enhanced menu.

Guided by the Theory of Planned Behavior and Social Cognitive Theory, the study focuses on constructs such as decision-making confidence, self-efficacy, subjective norms, and perceived behavioral control. The two primary objectives are to (1) develop a culturally informed digital menu labeling tool and (2) evaluate its effectiveness compared with standard and paper menu formats in shaping psychosocial factors and actual ordering behavior.

Participants will be recruited during restaurant visits and exposed to the menu condition corresponding to their visit timing. Surveys will be administered before ordering to assess psychosocial factors, label awareness, and behavioral intentions. A formative needs assessment conducted prior to implementation will ensure cultural and linguistic appropriateness. Findings will provide evidence on the effectiveness of innovative, theory-informed digital interventions in promoting informed food choices in culturally specific restaurant settings not subject to federal nutrition labeling requirements.

研究设计

研究类型: Interventional
分配方式: Non Randomized
干预模型: Parallel
主要目的: Other
盲法: None

盲法说明

Participants in this study will be partially blinded to the specific aims of the intervention to minimize bias. While they will be aware they are participating in a study about menu use and food choices, they will not be informed of the detailed differences or hypotheses related to the nutrition labeling formats to reduce influence on their ordering behavior. Research staff collecting data will also be trained to maintain neutrality, but full masking is not possible due to the visible differences in menu formats across study phases.

入排标准

年龄范围: 18 Years 至 —（Adult, Older Adult）
性别: All
接受健康志愿者: 是

入选标准

•Adults aged 18 years or older
•Patrons dining at participating Hispanic restaurants during designated study hours
•Able to read and speak English or Spanish
•Willing and able to provide informed consent
•Pregnant women are eligible to participate, as the study procedures pose minimal risk

排除标准

•Minors under 18 years of age
•Individuals with visual or cognitive impairments that prevent interaction with the menu formats or AR/AI technology
•Individuals who have participated in a prior phase of the study
•Restaurant staff involved in study implementation

研究组 & 干预措施

Baseline condition

No Intervention

Standard menu with no nutrition information.

Paper menu condition

Active Comparator

Bilingual paper menus display numeric and icon-based nutrition information, including calories, saturated fat, and sodium.

干预措施: Paper menu (Behavioral)

AR/AI digital menu condition

Experimental

Mobile app providing interactive nutrition information and personalized guidance based on dietary preferences.

干预措施: Digital menu condition (Behavioral)