Insights from consumers' exposure to environmental nutrition information on a dashboard for improving sustainable healthy food choices
Bibliographic record
Abstract
Over the last decade, there has been a growing demand for tools to support sustainable healthy lifestyles, including food choices. Through a survey, this study examined the influence of environmental nutrition information conveyed with aids such as nudges and traffic light labels through a Dashboard for Improving Sustainable Healthy (DISH v1.0) food choices on consumer purchase intentions. DISH is an application that enables end-users to envisage and compare the potential impacts of their choices before purchasing. In the early stage of the technological development of DISH, the environmental nutrition information of two fast-food menus, plant-based and animal-based burgers, was tested among 112 respondents from a university campus. The results suggested that with an environmental nutrition score, less cognitive processing was required to make sustainable healthy choices. Among the 90.2% of respondents with a predisposed purchase intention for animal-based burgers, 56.9% reported a purchasing intent for plant-based burgers. More than 83% attributed their decision to the environmental nutrition information provided on DISH. 64.3% of respondents rated DISH as 4 stars or 5 stars, suggesting the perceived usefulness of the application. A statistical investigation of the results indicated that features of the DISH application, nudges, and awareness considerably influenced sustainable choices (sig<0.001). The results support digital innovations as essential drivers for reinforcing environmental nutrition messages and stimulating subtle dietary changes. These preliminary results have served as a precursor for ongoing studies on other university campuses and corporate institutions testing the long-term impact of DISH v2.0 in stimulating dietary change. • DISH maps out selected meals' health, nutritional, and environmental impacts. • Consumer exposure to environmental nutrition information influenced purchase intentions. • 56.9% of respondents predisposed to animal-based burgers changed their purchase intentions. • 83% of respondents attributed features of DISH to influence their purchase intention. • 64.3% of respondents rated DISH 4-star and 5-star.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".