Recent advances in conversational AI and the ubiquity of related devices and applications---from robots to smart speakers to chatbots---has led to extensive research on designing and studying conversational systems with older adults. Despite a growing literature on this topic, many studies examine small groups of older adults and specific devices, neglecting a holistic understanding of how diverse groups of older adults perceive conversational interaction more broadly. We present a systematic review that synthesizes older adults’ perceptions of the challenges and opportunities for interacting with these systems. We highlight their vision for future AI-based conversational systems, emphasizing a desire for more human-like interactions, personalization, and greater control over their information. We discuss the implications for future research and design of conversational AI systems for older adults.
https://dl.acm.org/doi/10.1145/3706598.3713578
The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)