STANFORD UNIVERSITY
Ambient Intelligence Lab
Designing privacy-preserving, multimodal sensing systems and interfaces for health, wellness, and aging in place
NOW RECRUITING
Ambient Intelligence for Older Adult Care
Stanford University researchers are inviting participants to join a home-based study exploring how smart home technologies may support older adults in safely and independently aging in place. This study will take place at The Sequoias and will help researchers understand how smart sensors, cameras, health trackers, surveys, and clinical assessments can be used to study wellbeing, daily activities, sleep, mobility, and health-related patterns in real-world home environments.
Interest Form
Or contact the Stanford study team:
Principal Investigator: Andrea Green
Phone: 470-420-1849
ABOUT HAI AmI Lab
At the Stanford Ambient Intelligence (AmI) Lab, we are designing privacy-preserving, multimodal sensing systems and interfaces that help older adults live independently at home while easing caregiver burden. Our work combines insights from HCI, clinical practice, and ethics to study how sensors in the home environment (e.g., cameras, vibration sensors, motion sensors) can capture everyday mobility and wellbeing while respecting privacy and needs of older adults. Current projects focus on integrating these different signals to extract meaningful health insights and guide timely interventions, with the goal of making home-based health technologies reliable, scalable, and acceptable in real-world settings.
For our previous work on how the built environment affects wellbeing, please check out the project website.
Ambient Intelligence for Older Adult Care
Stanford University researchers are inviting participants to join a home-based study exploring how smart home technologies may support older adults in safely and independently aging in place. This study will take place at The Sequoias and will help researchers understand how smart sensors, cameras, health trackers, surveys, and clinical assessments can be used to study wellbeing, daily activities, sleep, mobility, and health-related patterns in real-world home environments.
Or contact the Stanford study team:
Principal Investigator: Andrea Green
Phone: 470-420-1849
ABOUT HAI AmI Lab
At the Stanford Ambient Intelligence (AmI) Lab, we are designing privacy-preserving, multimodal sensing systems and interfaces that help older adults live independently at home while easing caregiver burden. Our work combines insights from HCI, clinical practice, and ethics to study how sensors in the home environment (e.g., cameras, vibration sensors, motion sensors) can capture everyday mobility and wellbeing while respecting privacy and needs of older adults. Current projects focus on integrating these different signals to extract meaningful health insights and guide timely interventions, with the goal of making home-based health technologies reliable, scalable, and acceptable in real-world settings.
For our previous work on how the built environment affects wellbeing, please check out the project website.
Lab Studies
We plan to use a living lab where older adults can perform everyday tasks while unobtrusive sensors and optional wearables record their movement. The goal is to capture natural mobility, pair it with brief clinical balance tests, and identify indicators of stability and fall risk. We aim to show that multimodal sensing can provide reliable, privacy-respecting insights for future home-based health monitoring.
Field Studies
Our field study explores how everyday activities in real-world environments can reveal important insights into balance and wellbeing. By working with older adults and caregivers, we aim to understand how ambient sensing fits naturally into daily routines while respecting privacy and dignity. The goal is to show how these technologies can support aging in place and inform more personalized care beyond the lab.
Privacy
Our group has been exploring how collective speculation might be used toward probing the ethical implications of emerging technologies, and navigating the value tensions that inevitably arise in the process, in a more inclusive manner. Our method draws from a variety of HCI and design research methods: Values in design and related methods to elicit and engage with stakeholder values in the design process, speculative design and futuring to remove practical or commercial constraints and create space for critical reflection on societal values, and challenge dominant narratives of the future, participatory and co-design methods to enable the stakeholders to directly participate in the design of technology, and game design and role-play techniques to facilitate speculation, immersion, and critical reflection, and foster equal contribution. Learn more from the workshop web site.
A Workshop-Based Method for Navigating Value Tensions in Collectively Speculated Worlds [Paper]
Haghighi, N., Jörke, M., Cuadra, A., & Landay, J. A.
Proceedings of the 2023 ACM Designing Interactive Systems Conference
“They Make Us Old Before We’re Old”: Designing Ethical Health Technology with and for Older Adults [Paper]
So, J., Estrada, S., Jörke, M., Bianchi, E., Wang, M., Haghighi, N., Fessele, K., Landay, J. A., & Cuadra, A.
Proceedings of Computer-Supported Cooperative Work and Social Computing (CSCW)
Digital forms for all: A holistic multimodal large language model agent for health data entry [Paper]
Cuadra, A., Breuch, J., Estrada, S., Ihim, D., Hung, I., Askaryar, D., Hassanien, M., Fessele, K. L., & Landay, J. A.
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)
Black Older Adults' Perception of Using Voice Assistants to Enact a Medical Recovery Curriculum [Paper]
Green, A., Polite, G., Hung, I., Fessele, K. L., Billington, S. L., Landay, J. A., & Cuadra, A.
Proceedings of Computer-Supported Cooperative Work and Social Computing (CSCW)
Sarah Billington
James Landay
Ehsan Adeli
Parker Ruth
Andrea Green
Andrea Cuadra
Shardul Sapkota
Jane E
Sneha Jain
Yiwen Dong