Matthew Jeremy Shaver Kay


is a Ph.D. student in CS at dub studying how to design 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.

Selected publications

  1. Unequal representation and gender stereotypes in image search results for occupations

    Matthew Kay, Cynthia Matuszek, and Sean Munson

  2. How good is 85%? A survey tool to connect classifier evaluation to acceptability of accuracy

    Matthew Kay, Shwetak N. Patel, and Julie A. Kientz

  3. Challenges in personal health tracking: The data isn't enough

    Matthew Kay

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

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

  5. 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

  6. 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 A. Kientz

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

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