HIGEA: An Intelligent Conversational Agent to Detect Caregiver Burden

Eugenia Castilla, Juan José Escobar, Claudia Villalonga and Oresti Banos ()
Additional contact information
Eugenia Castilla: Department of Computer Engineering, Automation, and Robotics, University of Granada, 18014 Granada, Spain
Juan José Escobar: Department of Software Engineering, University of Granada, 18014 Granada, Spain
Claudia Villalonga: Department of Computer Engineering, Automation, and Robotics, University of Granada, 18014 Granada, Spain
Oresti Banos: Department of Computer Engineering, Automation, and Robotics, University of Granada, 18014 Granada, Spain

IJERPH, 2022, vol. 19, issue 23, 1-16

Abstract: 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.

Keywords: chatbot; conversational agent; Zarit Test; DialogFlow; Telegram; Firebase (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/23/16019/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/23/16019/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:23:p:16019-:d:989306

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().