matthew jeremy shaver kay


is a Ph.D. student
in Computer Science at dub
studying the design of systems
with user-facing uncertainty

More specifically,

I am interested in how the communication of uncertainty (or lack of it) affects how people use and trust systems. We are pushing more and more sensing and prediction (“how many steps did I take today?”, “how long until my bus shows up?”) into user-facing applications, and most of these apps simply relay their best estimate to users. Since we will never have perfect predictors or error-free sensors, to effectively build trust we must present the uncertainty in these systems in ways users can understand. I am conducting this work while advised by Julie Kientz and Shwetak Patel.

My current work follows from my broader interests in communicating complex data and concepts to end-users. That work has included technology to help people understand and improve their sleep habits—for example, Lullaby, which helps people track environmental factors that disturb sleep—and technology to improve the communication of software license agreements—for example, textured agreements, which present relevant information to people in a compelling way, and narrative pictograms, which employ wordless diagrams to communicate agreement concepts across language barriers. The work on redesigning software agreements was conducted during my Master’s at the University of Waterloo, where I was advised by Michael Terry.

Publications

  1. There’s no such thing as gaining a pound: reconsidering the bathroom scale user interface

    Matthew Kay, Dan Morris, mc schraefel, and Julie Kientz

  2. PVT-Touch: adapting a reaction time test for touchscreen devices

    Matthew Kay, Kyle Rector, Sunny Consolvo, Ben Greenstein, Jacob O. Wobbrock, Nathaniel F. Watson, and Julie A. Kientz

  3. Lullaby: a capture & access system for understanding the sleep environment

    Matthew Kay, Eun Kyoung Choe, Jesse Shepherd, Benjamin Greenstein, Nathaniel Watson, Sunny Consolvo, and Julie Kientz

  4. Lullaby: capturing the unconscious in the sleep environment

    Matthew Kay, Eun Kyoung Choe, Jesse Shepherd, Benjamin Greenstein, Nathaniel Watson, Sunny Consolvo, and Julie Kientz

    • CHI 2012 workshop on personal informatics
    • PDF
    • BibTeX
  5. Lullaby: environmental sensing for sleep self-improvement

    Matthew Kay, Eun Kyoung Choe, Jesse Shepherd, Benjamin Greenstein, Sunny Consolvo, Patrick Gage Kelley, and Julie Kientz

    • CHI 2011 workshop on personal informatics
    • PDF
    • BibTeX
  6. Techniques and heuristics for improving the visual design of software agreements

    Matthew Kay

    • Master’s thesis, University of Waterloo, 2010
    • PDF
    • BibTeX
  7. Textured agreements: re-envisioning electronic consent

    Matthew Kay and Michael Terry

  8. Communicating software agreement content using narrative pictograms

    Matthew Kay and Michael Terry

  9. Perceptions and practices of usability in the Free/Open Source Software (FOSS) community

    Michael Terry, Matthew Kay, and Ben Lafreniere

  10. Textured agreements: re-envisioning electronic consent

    Matthew Kay and Michael Terry

  11. Ingimp: introducing instrumentation to an end-user open source application

    Michael Terry, Matthew Kay, Brad Van Vugt, Brandon Slack, and Terry Park