Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Ergebnis 7 von 21

Details

Autor(en) / Beteiligte
Titel
Adolescents' Well-being While Using a Mobile Artificial Intelligence-Powered Acceptance Commitment Therapy Tool: Evidence From a Longitudinal Study
Ist Teil von
  • JMIR AI, 2022-11, Vol.1 (1), p.e38171
Ort / Verlag
Canada: JMIR Publications
Erscheinungsjahr
2022
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • Adolescence is a critical developmental period to prevent and treat the emergence of mental health problems. Smartphone-based conversational agents can deliver psychologically driven intervention and support, thus increasing psychological well-being over time. The objective of the study was to test the potential of an automated conversational agent named Kai.ai to deliver a self-help program based on Acceptance Commitment Therapy tools for adolescents, aimed to increase their well-being. Participants were 10,387 adolescents, aged 14-18 years, who used Kai.ai on one of the top messaging apps (eg, iMessage and WhatsApp). Users' well-being levels were assessed between 2 and 5 times using the 5-item World Health Organization Well-being Index questionnaire over their engagement with the service. Users engaged with the conversational agent an average of 45.39 (SD 46.77) days. The average well-being score at time point 1 was 39.28 (SD 18.17), indicating that, on average, users experienced reduced well-being. Latent growth curve modeling indicated that participants' well-being significantly increased over time (β=2.49; P<.001) and reached a clinically acceptable well-being average score (above 50). Mobile-based conversational agents have the potential to deliver engaging and effective Acceptance Commitment Therapy interventions.
Sprache
Englisch
Identifikatoren
ISSN: 2817-1705
eISSN: 2817-1705
DOI: 10.2196/38171
Titel-ID: cdi_doaj_primary_oai_doaj_org_article_656f79b0aec64c72a4b9dd1277c6d38c
Format
Schlagworte
Original Paper

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX