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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 7, 2024.
Abstract: Japan's rapid transition into a super-aged society, with 29% of its population aged 65 and over, underscores the urgent need for innovative elderly care solutions. This study explores the use of generative AI to facilitate meaningful interactions between elderly individuals and AI conversational agents using photos. Utilizing Microsoft Azure's AI services, including Computer Vision and Speech, the AI agent analyzes photos to generate engaging conversation prompts, leveraging GPT-3.5-turbo for natural language processing. Preliminary experiments with healthy elderly participants provided insights to refine the AI agent's conversational skills, focusing on timing, speech speed, and emotional engagement. The findings indicate that elderly users respond positively to AI agents that exhibit human-like conversational behaviors, such as attentiveness and expressive communication. By addressing functional and emotional needs, the AI agent aims to enhance the quality of life for the elderly, offering scalable solutions to the challenges of an aging society. Future work will focus on further improving the AI agent's ca-pabilities and assessing its impact on the mental health and so-cial engagement of elderly users.
Kousuke Shimizu, Banba Ami, Choi Dongeun, Miyuki Iwamoto, Nahoko Kusaka, Panote Siriaraya and Noriaki Kuwahara. “Exploring Photo-Based Dialogue Between Elderly Individuals and Generative AI Agents”. International Journal of Advanced Computer Science and Applications (IJACSA) 15.7 (2024). http://dx.doi.org/10.14569/IJACSA.2024.01507106
@article{Shimizu2024,
title = {Exploring Photo-Based Dialogue Between Elderly Individuals and Generative AI Agents},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.01507106},
url = {http://dx.doi.org/10.14569/IJACSA.2024.01507106},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {7},
author = {Kousuke Shimizu and Banba Ami and Choi Dongeun and Miyuki Iwamoto and Nahoko Kusaka and Panote Siriaraya and Noriaki Kuwahara}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.