New Paper!

Coming in CSCW 2024 is: Using Speculative Design to Understand Preferred Futures for the Design and Use of Tracking Data in U.S. College Sport Teams.

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February 6th, 2024

Dissertation defended and published!

I examine how tracking data is entagled in the power dynamics of NCAA teams and discuss how current designs do not balance the needs of student-athletes, coaches, staff, and the team as a whole. And I offer reccomendations for design and use of sports tracking technolgies and data that are able to balance these needs wrapped up in complex social dynamics. Overall, I urge caution and careful consideration when adopting tracking technology in sports teams and similar team, group, or organization settings (e.g., employee tracking, family tracking, student tracking, and more).

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Defended: August 10th, 2022; Published: Oct 3rd, 2022

Speculating the future of sports tech

For the last seven months I have been working on a Speculative Design project that envisions preferred futures for the design and use of sports tracking technology. I worked with 11 students, including four student-athletes, two art and design students, three HCDE students, one visual communication student, and one industrial design student to design and produce three videos exploring these preferred futures.

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September 7th, 2021

I passed my dissertation proposal!

June 7th, 2021

Engaging participants in digital health studies

New publication: Understanding Participant Needs for Engagement and Attitudes towards Passive Sensing in Remote Digital Health Studies (Pervasive Health 2020).

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October 6th, 2020

In the news!

Three stories published about my work on personal data and power dynamics in college sports.

I passed my general exam, making me a PhD candidate!

January 23rd, 2020

ACM Conference on Supporting Group Work

I attended GROUP 2020 in Sanibel Island, Fl and presented my first, first author work!

January 6th-8th, 2020

Athlete tracking data and power asymmetries

This publication marks my first, first author work. Personal Data and Power Asymmetries in U.S. Collegiate Sports Teams describes how student-athlete personal tracking data is used and describes how power aysmetries among studnet-athletes, coaches, and staff results in extraction.

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December 6th, 2019