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HIGEA: An Intelligent Conversational Agent to Detect Caregiver Burden

Author

Listed:
  • 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)

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.

Suggested Citation

  • Eugenia Castilla & Juan José Escobar & Claudia Villalonga & Oresti Banos, 2022. "HIGEA: An Intelligent Conversational Agent to Detect Caregiver Burden," IJERPH, MDPI, vol. 19(23), pages 1-16, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:16019-:d:989306
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