A Web-Based Intervention to Support a Growth Mindset and Well-Being in Unemployed Young Adults: Development Study
Notice bibliographique
Résumé
BACKGROUND: Engaging young adults in the labor market is vital for economic growth and well-being. However, the path to employment often presents setbacks that impact motivation and psychological functioning. Research suggests exploring positive psychology interventions in job-seeking and scaling the delivery of these using technology. However, dropout rates are high for self-administered psychological interventions on digital platforms. This challenge needs to be addressed for such platforms to be effective conveyors of psychological interventions. This study addresses this challenge by exploring user-oriented methods and proposes persuasive features for the design and development of a new web-based intervention targeting young unemployed adults. OBJECTIVE: This study aims to provide an overview of a new positive psychology wise intervention, including its theoretical underpinnings and human-centered design methodology, targeting young, unemployed adults. METHODS: Researchers collaborated with designers, developers, and stakeholders to design a web-based positive psychology intervention that leverages evidence-based wise interventions. Key improvements and adaptations were explored through formative usability testing with 13 unemployed young adults aged between 18 and 25 years (the target population). Qualitative usability testing data were collected, analyzed, and integrated into the ongoing design process as iterative improvements. RESULTS: The result of this study is a modular intervention web application named RØST, designed to align with the user needs and the preferences of the specific end-user group of unemployed young adults. During the project, this application evolved from early concept sketches and prototypes into a developed solution ready for further testing and use. Insights from both end-user feedback and rich user observation gained in the study were used to refine the content and the design. To increase targeted end users' motivation, persuasive design features including praise, rewards, and reminders were added. The web application was designed primarily to be used on mobile phones using text messaging for reminders. The development process included technical and data protection considerations. CONCLUSIONS: This study offers valuable insights into developing psychological or behavioral interventions to support unemployed young adults by documenting the design process and the adaptation and combination of diverse theoretical and empirical foundations. Involving stakeholders and end users in the development enabled relatable content development and resolved potential usability problems. An essential implication is the finding that end-user feedback and insights are crucial in shaping interventions. However, we experienced tensions between the evidence-based interventions and the human-centered design approaches. These tensions were not resolved and highlighted a need for ongoing user motivation support through monetary rewards, which were incorporated into the final web app design.
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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 | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 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 ».