Conducting NSF-funded research on improving offline social engagement for older adults using conversational assistants (CAs). Led 20 IRB-approved scenario-based interviews to explore barriers like isolation, accessibility, and communication.

• Developed and implemented an IRB-approved interview protocol to conduct 20 scenario-based interviews with older adults, combining qualitative and quantitative methods.

• Uncovered 3 key design implications for future CAs by mapping user journeys and synthesizing findings through affinity mapping and storyboarding.

• Conducted data analysis to identify usability gaps and design opportunities for intuitive, voice-based interfaces.

• Authored, presented, and published findings at ACM CHI 2025 in Yokohama, Japan, under the paper titled "Skeptical Yet Curious: Attitudes Towards Conversational Assistants for Supporting Social Engagement among Older Adults Living Alone."