Nature-Based Physical Activity Advertising: Recommendations Based on Attention Restoration Theory and Psychoevolutionary Theory
Bibliographic record
Abstract
Recent research has suggested that physical activity in natural areas may provide benefits that exceed those in other settings. Additional benefits include increased self-esteem and enjoyment of the activity, and decreased negative mood states and blood pressure. Therefore, encouraging nature-based physical activities may play an important role in the promotion of health and wellness. Advertising has been cited as an important component of a health promotion campaign; although to date no study has recommended strategies for designing advertising specific to nature-based physical activities. The purpose of this article is to review two prominent human-nature interaction frameworks, Attention Restoration Theory (ART) and Psychoevolutionary Theory (PET), and based on their tenets, recommend strategies for message design. The two recommendations proposed are: (1) to include natural images that meet the restorative criteria outlined in both theories; and (2) to explicitly feature the additional benefits of exercising in natural spaces in advertisements. Adhering to these recommendations in the advertisement design process may increase the effectiveness of the message.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".