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Assessing mood with the Identifying Depression Early in Adolescence Chatbot (IDEABot): development and implementation study

Year: 2026

Type: article

Abstract: Mental health status assessment is mostly limited to clinical or research settings, but recent technological advances provide new opportunities for measurement using more ecological approaches. Leveraging apps already in use by individuals on their smartphones, such as chatbots, could be a useful approach to capture subjective reports of mood in the moment. This study aimed to describe the development and implementation of the Identifying Depression Early in Adolescence Chatbot (IDEABot), a WhatsApp-based tool designed for collecting intensive longitudinal data on adolescents' mood.

Source: Human Science Research Council SA

DOI: 10.14749/32362461

Author: Human Sciences Research Council

Language: English

Topic: Digital Mental Health Interventions

Subfield: Applied Psychology

Field: Psychology

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: green

Funder: Human Sciences Research Council

OpenAlex ID: W7162089670

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