Matthew Louis Mauriello, Ph.D
Pervasive Wellbeing Technology Lab
Stanford University, School of Medicine
1701 Page Mill Road
Palo Alto, CA 94304

Email Icon
Twitter Icon @mattm401
Google Scholar Icon Scholar
Linkedin Icon Linkedin


I am a postdoctoral scholar at Stanford University in the School of Medicine working on stress and wellbeing interventions in the Pervasive Wellbeing Technology Lab with Dr. Pablo Paredes and collaborating with Stanford HCI. I received my Ph.D from the Department of Computer Science at the University of Maryland in August of 2018. My research was advised by Dr. Jon E. Froehlich and I was an early student member of the Makeability Lab—a lablet of the Human-Computer Interaction Lab that focused on "Making with a Social Purpose". Here I contributed to a number of projects including the design of wearbles devices, early education technologies, and tools for DIY thermographic energy auditing which was the focus of my dissertation (see "Pervasive Thermography"). My undergraduate and prior graduate work was completed at the University at Albany in upstate New York. When not doing research, I am trying to: travel, hike around the west coast, and contribute to indie video game projects via The Dirigiballers, LLC.

Active Projects

    My research at Stanford focuses on wellbeing in smart environments and I contribute to a number of on-going projects through the Pervasive Wellbeing Technology Lab including:
  • The Calm Commute. Most workers in the US labor force spend about an hour a day commuting and consider this time wasted. In this project, we focus on designing technology to safely support breathing interventions that can be performed while driving to migite stress or increase attention during daily commuting scenarios.
  • Passive Stress Sensing & Wearables. Stress is a huge part of daily life and there are numerous new technologies being designed to detect it. In this project, we explore human factors to inform the design of new wearavble technologies for detecting stress and powering future just-in-time interventions.
  • Smart & Affective Environments. There is an increasing amount of internet-enabled devices being integrated into the built environment leading to a number of new and novel oppertunities in the area of human-building interaction. In this project, we focus on smart buildings that can detect stress and other affective cues while helping users to perform tasks (e.g., indoor navigation) more efficienctly.
  • Chatbots for Daily Stress Management. Mobile applications are increasingly making health and wellbeing services more accessible; however, they suffer from low adoption and high abandonment. In this project, we explore how to design a suite of chatbots for mobile messaging services that can help users cope with daily stressors using different cognitive behavioral therapies.

We are looking for full-time research associates to help with designing, developing, and evaluating stress and wellbeing intervention technologies. Students available for part-time engagements are also encouraged to apply. Please visit our recruitment ad for more information.

Selected Publications

  • 2019
    Mauriello, M.L., McNally, B., and Froehlich, J.E. (2019). “Thermporal: An Easy-to-Deploy Temporal Thermographic Sensor System to Support Residential Energy Audits.” In Proceedings of ACM CHI 2019 Conference on Human Factors in Computing Systems [Acceptance Rate: 24% (705/2960)].
    [Paper (PDF)]

  • 2018
    Mauriello, M.L., McNally, B., Buntain, C., Bagalkotkar, S., Kushnir, S., and Froehlich, J.E. (2018). "A large-scale analysis of YouTube videos depicting everyday thermal camera use." In Proceedings of ACM MobileHCI 2018 Conference on Human-Computer Interaction with Mobile Devices & Services in Computing Systems [Acceptance Rate: 24% (50/213)].
    [Paper (PDF)]

  • 2016
    Mauriello, M.L., Shneiderman, B., Du, F., Malik, S., and Plaisant, C., (2016). "Simplifying overviews of temporal event sequences." In Proceedings of ACM CHI 2016 Conference on Human Factors in Computing Systems. Extended Abstract [Acceptance Rate: 43% (281/647)].
    Best Paper Honorable Mention | [Paper (PDF)] | [Poster (PDF)]

  • 2015
    Norooz, L., Mauriello, M.L., Jorgensen, A., McNally, B., and Froehlich, J.E., (2015). "BodyVis: A new approach to body learning through wearable sensing and visualization." In Proceedings of ACM CHI 2015 Conference on Human Factors in Computing Systems [Acceptance Rate: 23% (495/2150)].
    Best Paper Honorable Mention | [Paper (PDF)]

  • 2014
    Mauriello, M.L., Gubbels, M., Froehlich, J.E., (2014). "Social Fabric Fitness: The design and evaluation of wearable Etextile displays to support group running." In Proceedings of ACM CHI 2014 Conference on Human Factors in Computing Systems. [Acceptance Rate: 23% (464/2034)]
    [Paper (PDF)] | [Poster (PDF)] | [Supplemental Video (YouTube)] | [Slides (PDF)] | [Talk (YouTube)]