Choice Architecture for Healthier Food Ordering: Examining Defaults, Menu Positioning, Descriptive Labels, and Consumer Autonomy

Daniel Frei

Choice Architecture for Healthier Food Ordering: Examining Defaults, Menu Positioning, Descriptive Labels, and Consumer Autonomy

Author(s)	Dr. Daniel Frei
Country	United States
Abstract	Digital ordering platforms, restaurant applications, self-service kiosks, and online food-delivery systems increasingly influence how consumers encounter and select meals. Although these technologies expand convenience and product variety, their interface structures also shape attention, comparison, and decision effort. Choice architecture offers a behavioral approach for promoting healthier food selection without eliminating alternatives or imposing mandatory restrictions. The present study develops a simulation-based framework examining how healthy defaults, menu positioning, descriptive health-oriented cues, portion framing, and perceived autonomy may influence healthier ordering decisions. A synthetic dataset representing 400 hypothetical food-ordering decisions was constructed across four conditions: a standard menu, healthy-items-first positioning, a healthy default with an easy opt-out, and a combined choice-architecture condition. Simulated healthy-choice rates increased from 34.8% in the standard-menu condition to 47.6% when healthier options were positioned prominently, 58.9% under the healthy-default condition, and 67.3% when multiple noncoercive choice-architecture interventions were combined. Regression analysis indicated that healthy default exposure, menu prominence, and perceived decision ease were positively associated with healthy selection, whereas decision friction and preference conflict reduced adoption. Perceived autonomy remained positively related to acceptance of the ordering environment, suggesting that behavioral interventions may be more sustainable when customers retain transparent and convenient opportunities to select alternative options. The paper argues that effective food-choice architecture should make healthier decisions easier rather than making less healthy decisions artificially difficult. The proposed framework contributes to research on consumer behavior, public-health marketing, digital food environments, and responsible behavioral design, while providing a transparent foundation for subsequent empirical testing in restaurants, food-delivery platforms, and institutional dining environments.
Keywords	choice architecture; healthier food ordering; nudging; healthy defaults; menu design; consumer autonomy; digital food ordering; behavioral economics
Field	Engineering
Published In	Volume 6, Issue 1, January-February 2025
Published On	2025-01-21

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American Journal of Advanced Multidisciplinary Innovation and Research

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Choice Architecture for Healthier Food Ordering: Examining Defaults, Menu Positioning, Descriptive Labels, and Consumer Autonomy

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