In recent decades, mental health disorders such as anxiety and depression have risen dramatically across the globe. Artificial Intelligence (AI) and Social Robotics present groundbreaking prospects potentially revolutionizing mental healthcare. Social robots, specifically designed for human interaction by displaying emotions and engaging in conversations, along with data-driven AI, exemplify modern advancements seen in sectors such as education and elderly care. Despite these advancements, coupling social robotics with AI in mental health treatments presents a plethora of untapped potential and unresolved challenges.
This Research Topic aims to enrich the arsenal of mental health intervention techniques by refining early diagnosis methodologies and developing innovative treatment approaches. It seeks to merge theory with practical outcomes by fostering improvements in patient interventions and advancing our understanding of mental health disorders through robust AI methodologies and human-robot interactions. The ultimate goal is to offer a transformative perspective on therapeutic strategies and diagnostic tools through the lens of social robotics and AI applications.
To gather further insights in this pioneering field, we welcome articles addressing, but not limited to, the following themes:
- Social robots tailored for mental health care.
- Integration of AI in social robots for enhancing mental health services.
- Affective computing models and their relevance in social robotics.
- Empirical studies on human-robot interactions focused on mental health.
- Diagnosing and characterizing mental health conditions via human-robot interaction.
- Utilization of social robots in mental health interventions.
- Methodologies for diagnosing and treating mental health issues with robotic assistance.
- The role of NLP and Large Language Models in social robotics focused on mental health.
- Creative AI applications in the design and function of social robots.
- Modeling human social behavior through data analysis for human-robot interactions.
- Addressing privacy and ethical standards in employing social robots for mental health care.
- AI for mental health and mental illnesses
- Application design based on AI for enhancing mental health.
- Cognitive systems designed for use in mental healthcare settings.
- Advances on IA for diagnosing and characterizing mental health conditions.
In recent decades, mental health disorders such as anxiety and depression have risen dramatically across the globe. Artificial Intelligence (AI) and Social Robotics present groundbreaking prospects potentially revolutionizing mental healthcare. Social robots, specifically designed for human interaction by displaying emotions and engaging in conversations, along with data-driven AI, exemplify modern advancements seen in sectors such as education and elderly care. Despite these advancements, coupling social robotics with AI in mental health treatments presents a plethora of untapped potential and unresolved challenges.
This Research Topic aims to enrich the arsenal of mental health intervention techniques by refining early diagnosis methodologies and developing innovative treatment approaches. It seeks to merge theory with practical outcomes by fostering improvements in patient interventions and advancing our understanding of mental health disorders through robust AI methodologies and human-robot interactions. The ultimate goal is to offer a transformative perspective on therapeutic strategies and diagnostic tools through the lens of social robotics and AI applications.
To gather further insights in this pioneering field, we welcome articles addressing, but not limited to, the following themes:
- Social robots tailored for mental health care.
- Integration of AI in social robots for enhancing mental health services.
- Affective computing models and their relevance in social robotics.
- Empirical studies on human-robot interactions focused on mental health.
- Diagnosing and characterizing mental health conditions via human-robot interaction.
- Utilization of social robots in mental health interventions.
- Methodologies for diagnosing and treating mental health issues with robotic assistance.
- The role of NLP and Large Language Models in social robotics focused on mental health.
- Creative AI applications in the design and function of social robots.
- Modeling human social behavior through data analysis for human-robot interactions.
- Addressing privacy and ethical standards in employing social robots for mental health care.
- AI for mental health and mental illnesses
- Application design based on AI for enhancing mental health.
- Cognitive systems designed for use in mental healthcare settings.
- Advances on IA for diagnosing and characterizing mental health conditions.