Starting from the recognition of obesity as a multi-consequential issue, this exploratory study examines the efficacy of an AI-driven conversational agent in supporting dietary behavior change through a narrative medicine approach. The preliminary phase of the study assessed participants’ motivation, digital literacy, and emotional awareness. Initial findings highlight the relevance of personalized and gender-sensitive interventions in enhancing engagement and emotional self-regulation.

CREATING NARRATIVE-BASED ADAPTIVE LEARNING ENVIRONMENTS: AN EXPLORATORY STUDY ON AI CONVERSATIONAL AGENTS FOR OBESITY PREVENTION

Angelamaria De Feo
2025-01-01

Abstract

Starting from the recognition of obesity as a multi-consequential issue, this exploratory study examines the efficacy of an AI-driven conversational agent in supporting dietary behavior change through a narrative medicine approach. The preliminary phase of the study assessed participants’ motivation, digital literacy, and emotional awareness. Initial findings highlight the relevance of personalized and gender-sensitive interventions in enhancing engagement and emotional self-regulation.
2025
AI in education, conversational agents, narrative medicine, obesity prevention
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12607/57722
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
social impact