HIGEA: An Intelligent Conversational Agent to Detect Caregiver Burden
Metadatos
Afficher la notice complèteAuteur
Castilla, Eugenia; Escobar Pérez, Juan José; Villalonga Palliser, Claudia; Baños Legrán, OrestiEditorial
MDPI
Materia
Chatbot Conversational agents Zarit Test DialogFlow Telegram Firebase
Date
2022-11-30Referencia bibliográfica
Castilla, E... [et al.]. HIGEA: An Intelligent Conversational Agent to Detect Caregiver Burden. Int. J. Environ. Res. Public Health 2022, 19, 16019. [https://doi.org/10.3390/ijerph192316019]
Résumé
Mental health disorders increasingly affect people worldwide. As a consequence, more
families and relatives find themselves acting as caregivers. Most often, these are untrained people
who experience loneliness, abandonment, and often develop signs of depression (i.e., caregiver
burden syndrome). In this work, we present HIGEA, a digital system based on a conversational agent
to help to detect caregiver burden. The conversational agent naturally embeds psychological test
questions into informal conversations, which aim at increasing the adherence of use and avoiding
user bias. A proof-of-concept is developed based on the popular Zarit Test, which is widely used to
assess caregiver burden. Preliminary results show the system is useful and effective.