DESIGN + ENGINEERING + BEHAVIORAL SCIENCE

WELLBEING TECHNOLOGY
IN THE WILD

We combine design, engineering, and behavioral principles to keep people healthy 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 (e.g. sitting, commuting, talking, writing, chatting) and deliver value while enhancing engagement.

AREAS OF STUDY

We focus on three areas of study, two core areas, and one exploratory area of study. Our two main areas of study, Sensorless Sensing and Subtle Interventions leverage human-computer interaction (HCI) and human-centered artificial intelligence (HAI) to design creative solutions based on scientific foundations to promote wellbeing. In our forwards looking area of study, Extreme Behavior Change, we propose novel ideas combining technology and behavioral science theory to challenge existing views around behavior change.

Screen Shot 2020-10-12 at 12.33.11 AM.pn

We design interventions that balance efficacy and engagement for everyday stress management to promote wellbeing and mental health. We modify cyber and physical spaces to deliver micro or subtle interventions with minimal to no distraction to the user. 
 

We propose using our browser-based and mobile Stanford Wellbeing and Emotion Education Technology (SWEET) platform to deliver support for people working from home (Home Sweet Office), or studying from home (Home Sweet School), especially now during COVID-19 times.

In the past we have developed projects such as the Popbots, where we used an "army" of tiny chatbots for stress regulation, or the Mindful Commute, where we leveraged guided breathing regulation  in the car.

stresstracker.png

"Sensorless" (passive) sensing is an adaptive approach that repurposes data from existing devices or data extracted from existing sensors embedded in everyday objects to passively measure stress, and performance.  

We propose AI-enabled multimodal stress sensing by combining biochemical (cortisol) with biomechanical passive stress sensors using data from PC mice or trackpads to detect stress in multiple populations (office and clinical workers). In our project Fast & Furious, we also leverage the car steering wheel as a valid stress detection device.


In the past we have developed seminal work on biomechanical stress, such as detecting acute stress with the mouse (MouStress) or trackpad (Stress Tracker).

substress.png

This is our forward thinking theoretical ideas where we believe engineering can enable new frontiers of research in behavioral and health sciences. We propose ideas such as leveraging automation to enable non-volitional behavior change, or leveraging subliminal haptic entrainment or everyday desktop robotics enable breathing regulation, or mindful mixed reality combining car movement with VR to increase emotion regulation during the commute.

RECENT BLOG POSTS

OPEN POSITIONS

POSTDOCTORAL FELLOW OR PHD STUDENT​

AI-enabled multimodal and multi-domain stress passive sensing.


Skills: Deep learning, time series, pattern recognition, signal processing, biomechanics.

Background: CS, EE, ME, Bioengineering or similar fields.

POSTDOCTORAL FELLOW OR PHD STUDENT​

Just -in-time micro-intervention design and delivery using adaptive AI algorithms.


Skills: Reinforcement learning, multi-armed bandits, intervention suite design, mechanical turk prototyping.

Background: CS, EE, ME, Epidemiology, or similar fields.

RESEARCH STUDENT INTERNSHIPS or RESEARCH ASSOCIATE

Be part of the creation of the future of mental health and wellbeing technology.

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.