Exploring the Impact of a Persuasive Serious Video Game (Farmily) on Promoting Home Gardening Among Novices: Design and Randomized Controlled Trial
Notice bibliographique
Résumé
Background Home gardens worldwide provide sustenance, economic support, and access to fresh produce and promote household well-being, health, self-sufficiency, and food security. However, they face significant challenges worldwide and necessitate innovative promotion approaches. Serious video games have proven effective in promoting agricultural knowledge. However, more research is needed on the persuasive potential of agriculture games to influence players’ thoughts, attitudes, and behaviors. This provides an opportunity to examine the impact of persuasive games on promoting home gardening among novices. Objective This study aims to describe the design and development of Farmily, a persuasive video game promoting home gardening among novices. In addition, it evaluated the effectiveness of Farmily and compared its impact with that of a traditional home gardening workshop. Furthermore, the study explored how game enjoyment relates to the game’s outcomes. Methods A randomized controlled trial with 50 novice gardening participants aged 20 to 50 years was carried out. Participants were randomly assigned to a control group (1.5-hour workshop) or an experimental group (1.5-hour Farmily session). Pre- and postintervention assessments were conducted. We evaluated Farmily’s impact on knowledge, attitudes, perceived self-efficacy, and intentions regarding initiating home gardens. In addition, we investigated the user enjoyment and its relationship with the game’s effect outcomes. Results The experimental group significantly improved their knowledge (t24=4.26; P<.001), attitude (z24=2.98; P=.003), self-efficacy (t24=2.6; P=.02), and intention to initiate home gardens (z24=4.15; P<.001). The experimental group showed similar effectiveness in knowledge transfer (t24=–1.71; P=.09) and a more significant impact on attitude (z24=2.73; P=.006), self-efficacy (t24=2.21; P=.03), and intention to start a home garden (t24=–5.33; P<.001) than the control group. Farmily was well received by the intervention group, generating high enjoyment. Furthermore, user enjoyment substantially correlated with user attitudes (r23=0.72; P<.001) and self-efficacy (r23=0.67; P<.001), yet no discernible association was observed among user enjoyment, knowledge (r23=0.26; P=.20), and intention (r23=0.06; P=.77). Conclusions Evidence indicates that Farmily appears to be a viable tool for promoting home gardening among novices in the short term. Farmily demonstrated similar effects in knowledge improvement to those of a traditional workshop and had a more significant impact on the other variables. In addition, we found that the player’s gaming experience positively relates to the player’s attitudes and self-efficacy. A well-powered randomized controlled trial with more diverse samples and extended follow-up periods will be conducted to establish the long-term efficacy of Farmily and gain a deeper understanding of the influence of enjoyment on game outcomes.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,008 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,006 | 0,003 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,004 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».