63 citations · 118 across the 7 of their papers we have counts for
7 papers
Assessing Low Back Movement with Motion Tape Sensor Data Through Deep Learning
Jared Levy, Aarti Lalwani, Elijah Wyckoff +4
Back pain is a pervasive issue affecting a significant portion of the population, often worsened by certain movements of the lower back. Assessing these movements is important for…
Toward a Unified Metadata Schema for Ecological Momentary Assessment with Voice-First Virtual Assistants
Chen Chen, Khalil Mrini, Kemeberly Charles +5
Ecological momentary assessment (EMA) is used to evaluate subjects' behaviors and moods in their natural environments, yet collecting real-time and self-report data with EMA is cha…
How do Older Adults Set Up Voice Assistants? Lessons Learned from a Deployment Experience for Older Adults to Set Up Standalone Voice Assistants
Chen Chen, Ella T. Lifset, Yichen Han +5
While standalone Voice Assistants (VAs) are promising to support older adults' daily routine and wellbeing management, onboarding and setting up these devices can be challenging. A…
Screen or No Screen? Lessons Learnt from a Real-World Deployment Study of Using Voice Assistants With and Without Touchscreen for Older Adults
Chen Chen, Ella T. Lifset, Yichen Han +5
While voice user interfaces offer increased accessibility due to hands-free and eyes-free interactions, older adults often have challenges such as constructing structured requests…
Medical Question Understanding and Answering with Knowledge Grounding and Semantic Self-Supervision
Khalil Mrini, Harpreet Singh, Franck Dernoncourt +5
Current medical question answering systems have difficulty processing long, detailed and informally worded questions submitted by patients, called Consumer Health Questions (CHQs).…
Towards Visualization of Time-Series Ecological Momentary Assessment (EMA) Data on Standalone Voice-First Virtual Assistants
Yichen Han, Christopher Bo Han, Chen Chen +5
Population aging is an increasingly important consideration for health care in the 21th century, and continuing to have access and interact with digital health information is a key…
Understanding Barriers and Design Opportunities to Improve Healthcare and QOL for Older Adults through Voice Assistants
Chen Chen, Janet G. Johnson, Kemeberly Charles +6
Voice based Intelligent Virtual Assistants (IVAs) promise to improve healthcare management and Quality of Life (QOL) by introducing the paradigm of hands free and eye free interact…