Matthew Kay

I am a Ph.D. candidate in human–computer interaction at UW CSE.

I work in usable statistics and communicating uncertainty.

My research spans several areas, from understanding people, to building interactive systems, to designing visualizations, to modeling: human−computer interaction, information visualization, and computer science.

Communicating uncertainty: We are increasingly exposed to sensing and prediction in our daily lives (“how many steps did I take today?”, “how long until my bus shows up?”, “how much do I weigh?”). Uncertainty is both inherent to these systems and usually poorly communicated. To build understandable data presentations, we must study how people interpret their data and what goals they have for it. This informs the way that we should communicate results from our models, which in turn determines what models we must use in the first place.

Usable statistics: Science is failing all around us! Nothing replicates! Things may not be as dire as all that, but in fields like HCI and psychology, the statistical tools we use are failing us: these tools let users wander around without guidance and produce results without assisting users in interpretation. What would usable statistical tools look like?

I’m joining UMSI! I’m very exciting to be starting as an Assistant Professor at the University of Michigan School of Information in Fall 2016.

Selected publications

See my C.V. for a complete listing.

  1. Researcher-centered design of statistics: Why Bayesian statistics better fit the culture and incentives of HCI

    Matthew Kay, Gregory Nelson, and Eric Hekler

    • CHI 2016 (to appear)
    • Honorable mention (top 5%)
    • PDF
    • BibTeX
  2. When (ish) is my bus? User-centered visualizations of uncertainty in everyday, mobile predictive systems

    Matthew Kay, Tara Kola, Jessica Hullman, and Sean Munson

  3. Beyond Weber’s Law: A second look at ranking visualizations of correlation

    Matthew Kay and Jeffrey Heer

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

    Matthew Kay, Cynthia Matuszek, and Sean Munson

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

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

  6. Challenges in personal health tracking: The data isn’t enough

    Matthew Kay

  7. 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

    • Ubicomp 2013
    • Best paper award (top 1%)
    • PDF
    • BibTeX
  8. 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

  9. 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

    • Ubicomp 2012
    • Best paper award (top 1%)
    • PDF
    • BibTeX
  10. Textured agreements: Re-envisioning electronic consent

    Matthew Kay and Michael Terry

  11. Communicating software agreement content using narrative pictograms

    Matthew Kay and Michael Terry

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

    Michael Terry, Matthew Kay, and Ben Lafreniere

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

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