MEDICINE + DESIGN + ENGINEERING
WELLBEING INTERVENTION TECHNOLOGY
IN THE WILD
We combine medicine, design, and engineering principles to keep people healthy, sleeping well and performing at their best. We aim at creating individualized and adaptive behavior change technology interventions seamlessly embedded in daily life routines. In short, we want to find people where they are, sleeping, sitting, commuting, talking, writing, etc. and deliver value while minimizing barriers for adoption.
Our lab is part of the Stanford School of Medicine's Precise Health and Integrated Diagnostics Center (PHIND).
AREAS OF STUDY
We focus on four areas of study: Sensorless Sensing, Subtle Interventions, Mindful Commute, and Precise Mental States. We leverage human-computer interaction (HCI), artificial intelligence (AI), biomechanics, and other methods to develop the scientific foundations for preventative interventions that promote wellbeing, better sleep and physical activity.
We design high adoption and engagement interventions for everyday stress management, to promote wellbeing and better sleep. We modify cyber and physical spaces to deliver micro or subtle interventions that do not distract the user.
ProtoBots: An "army" of tiny chatbots for stress and sleep.
PopTherapy: Repurposing popular media into coping strategies.
Ultra Slow Show: Slow changing peripherals & furniture.
Unconscious Health: Pre-attentive modification of biorhythms.
Computer Assisted Therapy: AI enhanced talk therapy
50 million Americans spend one hour commuting by car. We work with Prof. Landay's lab to design interventions that help car commuters to feel energized in the morning, and wind down in the evening to relax and sleep better.
Hapty Seat: Breathing & movement interventions for commuters.
UnWindy Path: Stress reduction for Sleep
Cool ReMix: Calming & mindful mixed reality in the car.
Fiat Lux: Affective urban lights to promote last-mile walking.
Sensorless sensing is an adaptive approach that repurposes data from existing devices or data extracted from sensors embedded in everyday objects to passively measure stress, and performance.
Auto-nomic: Turning the car into an affective sensor.
PeriStress: PC peripherals and furniture as stress sensors.
Fast & Furious: Detecting stress with a steering wheel.
Mind Mining: AI-enhanced qualitative data mining for stress.
We are part of a multi-disciplinary team, led by Prof. Zhenan Bao, creating the Mentaid, a skin-like patch aimed at sensing biomarkers, including cortisol, to precisely map mental states in the wild. Our focus is on preventative interventions for stress.
Skin Wearability: Exploring use cases for skin-like wearables.
Mentaid Correlation Study: Lab & field sampling of biomarkers.
Mentaid Interventions: Exploring micro interventions in the wild.
Mind Mining: Mining neural biotype expressions in social media.
RECENT BLOG POSTS
POSTDOCTORAL FELLOW OR PHD STUDENT
Focus on the development of novel movement-based interventions.
Skills: DSP, pattern recognition, biomechanics, computer vision (desired), robotics (desired).
Background: Bioengineering, CS, EE, ME, Computational Biology or Physiology, or similar fields.
POSTDOCTORAL FELLOW OR PHD STUDENT
Focus on the development of a recommendation system using online learning algorithms.
Skills: Machine learning - online learning, multi-sensory processing, multi-modal interfaces (desired).
Background: CS, EE, Educations, Biostatistics, Psychology, or similar fields.
RESEARCH STUDENT INTERNSHIPS
Be part of the creation of the future of mental health and wellbeing technology by supporting one of the different projects being developed in the lab.
Stanford students can work per credit for one quarter (funding not guaranteed, but possible only after second quarter).
Fully funded visiting students are welcome to apply.
Thanks for your interest in our research. Get in touch with us for any questions or comments regarding our work and publications. We’d love to hear from you.