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Pablo E. Paredes is Clinical Assistant Professor at the Psychiatry and Behavioral Sciences Department, and by courtesy at the Epidemiology and Population Health Department at Stanford University School of Medicine. His research focuses on subtle interventions to reduce stress, such as guiding people to breathe slowly with subtle haptic cues from office or car furniture, and passive sensing of affective and physiological biomarkers derived from existing devices (such as computers, phones, etc.) Dr. Paredes leads the Pervasive Wellbeing Technology Lab, http://med.stanford.edu/pervasivewellbeingtech.html and recently was invited to give a TED Talk on his research, https://www.youtube.com/watch?v=f60UStZX0kA. He has advised several PhD, masters and undergrad students. Prior to joining the School of Medicine, he was a Postdoctoral Researcher in Computer Science at Stanford University for two years. Dr. Paredes earned his PhD in Computer Science from the University of California, Berkeley in 2015. During his PhD career, he held internships on behavior change and affective computing in Microsoft Research and Google. Before 2010 he was a senior strategic manager with Intel in Sao Paulo, Brazil, a lead product manager with Telefonica in Quito, Ecuador and an Entrepreneur in his natal Cuenca, Ecuador. Prior to that, he obtained a dual MBA and MS in Electrical Engineering from Georgia Tech with a Fulbright Scholarship. In these roles, he has had the opportunity to closely evaluate designers, engineers, business people and researchers in telecommunications, product development, and ubiquitous computing.
Repurposing popular media to create micro interventions for stress.
Detecting stress with mouse motion using reverse dynamic modeling.
Mental Health Technology
Universidad de Cuenca
Ecuador / Latin America
In my lab we have two key areas of study: sensorless sensing, and subtle interventions. Our projects aim to design not only useful and efficient wellbeing interventions, but also passive behavioral and affective sensors.SENSORLESS SENSINGEvery couple of days, humanity generates more data than all the data that was generated until 2013. Sensorless sensing is a provocative term and approach focused on repurposing many existing behavioral data streams to passively measure and study affect, stress, behavior, wellbeing and mental health biomarkers. Projects:TouchStress: Using touchpads as stress sensors.Clinical Unobtrusive Stress Sensing: Use PC mice as unobtrusive stress sensors.Skin Wearability: Exploring use cases for skin-like wearables.Multimodal Stress Sensing: AI-enhanced multimodal sensing using wearables and unobtrusive passive sensingSUBTLE INTERVENTIONSWe use human-centered design to develop affordable and ecologically valid interventions aimed at dramatically increasing adoption and engagement of wellbeing behaviors. We leverage cyber and physical personal spaces to deliver micro or slow interventions that do not distract or interrupt the user.Projects:PopBots: an "army" of tiny chatbots for stress management.Personal Digital Wellbeing: Repurposing popular media into coping strategies.Haunted Desk: Non-volitional behavior change embedded in furnitureSubBreathe: Imperceptible modification of biorhythms.