DESIGN + ENGINEERING + BEHAVIORAL SCIENCE
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.
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.
"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).
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.