How Mobile Health Technologies Can Transform Social Relationships in a Population-Level Fitness Promotion Campaign
Notice bibliographique
Résumé
Interest in mobile health (mHealth) technologies has grown steadily over the past decade, with individuals as well as public and private organizations turning to fitness tracking devices as a technological means of monitoring their health. Research on mHealth technologies has focused mainly on the use of fitness tracking devices on an individual-basis or as part of wellness plans that operate on the organizational level. There appears to be a paucity of research that attends to the use of mHealth technologies in national, population-level health and fitness campaigns. Singapore’s National Steps Challenge (NSC) is one of the first national, population-level campaigns that uses wearable fitness trackers and an accompanying digital app (Healthy 365) to monitor selected health metrics and encourage residents to participate in physical activity. Participants in the NSC are rewarded with health points based on their level of physical activity. These points can be used to redeem goods and services. While there is some research on the health outcomes of the NSC, the social impact of this Challenge has yet to be fully understood. The NSC leverages on the technological affordances and social affordances of wearable fitness trackers and the Healthy 365 app to encourage participants to engage in physical activity through fitness-oriented challenges like the “steps challenge”. Technological affordances extend human affordances or action possibilities by way of technology. Social affordances refer to the action possibilities for socialization that can be actualized when people interact with others and establish social connections. This paper seeks to understand how the use of mHealth technologies among NSC participants can transform their social relationships with others, including their family and friends. We propose that when digital technologies intervene in the relationships between different users, the technological affordances of the technology (consisting of a wearable fitness tracker and the Healthy 365 app) employed in the NSC presents users with action possibilities for socialization, which constitute the social affordances of the technology. How the users engage with the social affordances while actively participating in the NSC would vary depending on changes in their social context, which is contingent on the specific group of people with whom the users choose to socialize and the types of activities that they perform together. In this paper, we offer a small-scale exploratory pilot study that seeks to gain a preliminary understanding of the social impact of the NSC.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».