Contact

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

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ABOUT

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 E. Paredes. I also collaborate with Stanford HCI. In Spring 2021, I'll be starting as an Assistant Professor in the Department of Computer and Information Sciences at the University of Delaware. I am actively recruiting undergraduate, master's, and PhD students as well as postdoctoral scholars who share my interest in designing better user experiences with technology in the areas of: sustainability, human-building interactions, wearables, personal informatics, education, health, and games. If interested, please email (mlm@udel.edu) in addition to formally applying and include your CV, unofficial transcript, and a brief statement about how we might collaborate.

Background

I received my PhD 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 try to: travel, hike around the west coast, and contribute to indie video game projects via The Dirigiballers, LLC.

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)]