Editorial: Artificial intelligence and social robotics for mental healthcare

Cervantes, José-Antonio ; Rodriguez, Luis-Felipe ; Gutierrez-Garcia, J. Octavio ; Cervantes-Alvarez, Francisco ; Vargas Martin, Miguel ; Baldassarri, Sandra (Universidad de Zaragoza)

Resumen: In recent decades, mental health disorders such as anxiety and depression have risen dramatically across the globe (Baker and Kirk-Wade, 2023; Ten Have et al., 2023). Artificial Intelligence (AI) and Social Robotics present groundbreaking prospects that could revolutionize mental healthcare (Hung et al.). Social robots, specifically designed for human interaction by displaying emotions and engaging in conversations, along with data-driven AI, exemplify modern advancements in sectors such as education (LeTendre and Gray, 2024) and elderly care (Yen et al., 2024). Despite these advancements, the convergence of AI and social robotics in mental health has untapped potential and presents a plethora of unresolved challenges. For instance, there is a lack of ethical norms (Torras, 2024) that regulate and guide the correct use of social robots in a wide variety of contexts, ranging from assistive care for the elderly to healthcare. Therefore, in this Research Topic, we have collected current contributions to the design and development of social robots as well as empirical studies on human-robot interactions focused on mental health and elderly care.

Idioma: Inglés

DOI: 10.3389/frobt.2025.1665800

Año: 2025

Publicado en: Frontiers in Robotics and AI 12 (2025), 1665800 [3 p.]
ISSN: 2296-9144

Tipo y forma: (Versión definitiva)

Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)