Empathetic AI: Multimodal Interaction Framework for Emotional Resilience and Cognitive Engagement in Elderly Care
Harnessing the power of artificial intelligence, Large Language Models (LLMs) such as OpenAI’s GPT-4 and Google’s Gemini revolutionize eldercare by addressing emotional, cognitive, and social well-being. These systems transcend conventional mental health support by serving as empathetic virtual companions, dynamically adapting to users' emotional states through multimodal interaction, including conversational chatbots, voice assistants, and lifelike deepfake avatars. This system contains memory recall modules that allow patients to resemble significant life moments, offer personalized cognitive exercises, and make use of amiable motivational strategies to help them become mental gymnastics experts. The technology is intended for both the advanced and the less tech-savvy ones, so it is equipped with multilingual functionalities, user-friendly interfaces, big buttons, and voice input functions. Real-time emotional adaptation is powered by advanced AI sentiment analysis, ensuring tailored and empathetic responses. The fundamental change of the care of the elderly ladies and men leads to the fact that an innovative system was established, which is empathetic, user-friendly, and available. New technology supports the aging population in a personalized manner that respects the particular needs such as the ones mentioned above.
Authors
- A. Anny Leema (ORCID: https://orcid.org/0000-0002-0704-2794)
- Arun Kumar Sangaiah (ORCID: https://orcid.org/0000-0002-0229-2460)
- P. Balakrishnan
Institutions
- National Yunlin University of Science and Technology (TW)
- Vellore Institute of Technology University (IN)
Publication Details
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1109/ngise64126.2025.11085267
- Citations
- 1
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 2.48