Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
240 participants
INTERVENTIONAL
2025-11-17
2026-12-31
Brief Summary
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Detailed Description
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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.
Conditions
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Study Design
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NON_RANDOMIZED
PARALLEL
OTHER
NONE
Study Groups
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Baseline condition
Standard menu with no nutrition information.
No interventions assigned to this group
Paper menu condition
Bilingual paper menus display numeric and icon-based nutrition information, including calories, saturated fat, and sodium.
Paper menu
Paper menu with bilingual nutrition labels
AR/AI digital menu condition
Mobile app providing interactive nutrition information and personalized guidance based on dietary preferences.
Digital menu condition
AR/AI-enhanced digital menu giving interactive nutrition guidance
Interventions
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Paper menu
Paper menu with bilingual nutrition labels
Digital menu condition
AR/AI-enhanced digital menu giving interactive nutrition guidance
Eligibility Criteria
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Inclusion Criteria
* 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
Exclusion Criteria
* 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
18 Years
ALL
Yes
Sponsors
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Texas A&M University
OTHER
Responsible Party
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Hyunjung Lee
Assistant Professor
Principal Investigators
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Hyunjung Lee, PhD
Role: PRINCIPAL_INVESTIGATOR
Department of Nutrition, Texas A&M University
Locations
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Local Restaurant Site
Bryan, Texas, United States
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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STUDY2025-1204
Identifier Type: -
Identifier Source: org_study_id
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