Exploring the Role of LLMs for Supporting Older Adults: Opportunities and Concerns
Sidharth Kaliappan, Abhay Sheel Anand, Koustuv Saha, Ravi Karkar

TL;DR
This paper reviews how large language models can support older adults in technology use, highlighting opportunities for enhancement and addressing concerns about privacy, security, and inclusivity in design.
Contribution
It provides a comprehensive overview of the potential and challenges of integrating LLMs into eldercare and HCI, emphasizing the need for user-centered, inclusive approaches.
Findings
LLMs can improve accessibility and interaction for older adults.
Privacy and security concerns need careful consideration.
Inclusive design is crucial for effective technology adoption.
Abstract
We explore some of the existing research in HCI around technology for older adults and examine the role of LLMs in enhancing it. We also discuss the digital divide and emphasize the need for inclusive technology design. At the same time, we also surface concerns regarding privacy, security, and the accuracy of information provided by LLMs, alongside the importance of user-centered design to make technology accessible and effective for the elderly. We show the transformative possibilities of LLM-supported interactions at the intersection of aging, technology, and human-computer interaction, advocating for further research and development in this area.
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Taxonomy
TopicsEducation, Law, and Society · Innovation Policy and R&D · Artificial Intelligence in Law
