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20232026
most citedVoice Assistants for Health Self-Management: Designing for and with Older Adults

30 citations · 61 across the 10 of their papers we have counts for

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9 papers · 1 filter

cs.HC2026

Better Adherence, Richer Context: A Field Evaluation of LLM-Powered Conversational Voice Diaries for Sleep

Amama Mahmood, Bokyung Kim, Honghao Zhao +4

Sleep diaries are central to behavioral sleep medicine and cognitive behavioral therapy for insomnia, yet daily completion is difficult to sustain, and static forms often provide l…

cs.HC2025

Conversational Agents in Behavioral Sleep Medicine: Designing Self-Report and Analytics Tools

Amama Mahmood, Bokyung Kim, Honghao Zhao +4

The sleep diary is a widely used clinical tool for understanding and treating sleep disorders in Behavioral Sleep Medicine (BSM); however, low patient compliance and limited captur…

cs.HC2025

Interruption Handling for Conversational Robots

Shiye Cao, Jiwon Moon, Amama Mahmood +4

Interruptions, a fundamental component of human communication, can enhance the dynamism and effectiveness of conversations, but only when effectively managed by all parties involve…

cs.HC2024

From Our Lab to Their Homes: Learnings from Longitudinal Field Research with Older Adults

Amama Mahmood, Chien-Ming Huang

Conducting research with older adults in their home environments presents unique opportunities and challenges that differ significantly from traditional lab-based studies. In this…

cs.HC2024★ 30 cited

Voice Assistants for Health Self-Management: Designing for and with Older Adults

Amama Mahmood, Shiye Cao, Maia Stiber +2

Supporting older adults in health self-management is crucial for promoting independent aging, particularly given the growing strain on healthcare systems. While voice assistants (V…

cs.HC2024★ 5 cited

Situated Understanding of Errors in Older Adults' Interactions with Voice Assistants: A Month-Long, In-Home Study

Amama Mahmood, Junxiang Wang, Chien-Ming Huang

Our work addresses the challenges older adults face with commercial Voice Assistants (VAs), notably in conversation breakdowns and error handling. Traditional methods of collecting…