AI Applications to Reduce Loneliness Among Older Adults: A Systematic Review of Effectiveness and Technologies

This systematic review evaluated AI-driven interventions for reducing loneliness in older adults. Analyzing nine studies (six RCTs, three pre–post designs), it found that social robots, voice assistants, and digital human facilitators significantly reduced loneliness, especially when interventions lasted longer and were interactive. AI technologies such as speech and emotion recognition played key roles. Limitations included small sample sizes, short durations, and inconsistent methodologies. While AI shows promise, further research is needed to optimize long-term efficacy and cultural adaptability.

To reduce loneliness, older adults can explore AI-powered companionship tools, such as social robots or personal voice assistants. While early research supports their benefits, effectiveness depends on frequent, engaging interactions. Long-term human integration alongside AI support may enhance outcomes. Those considering AI-based interventions should seek technologies designed for personalized and adaptive engagement to maximize social and emotional benefits.