I'm a PhD student advised by Ken Holstein at Carnegie Mellon University's Human-Computer Interaction Institute. My work explores ways to reduce harm by shifting power to those who use & are most affected by algorithmic systems.CV Semantic Scholar Mastodon Twitter DBLP Research Ethos
adevos [at] cmu [dot] edu
I like to run & read for fun, but not simultaneously. My free time is spent watching musicals, eating ice cream, & figuring out how to pronounce "apropos". My favorite color is red, my favorite software application is InDesign, & my favorite punctuation marks are the en dash & the interrobang.
October 2023 - excited to attend 2 workshops at CSCW, one on labor & one on community-collaborative approaches
January 2023 - paper on user-driven algorithm auditing in industry practice accepted to CHI 2023
May 2022 - presented paper on users' strategies for uncovering harmful algorithmic behavior at CHI 2022
February 2022 - paper on users' strategies for uncovering harmful algorithmic behavior accepted to CHI 2022
October 2021 - presented everyday algorithm auditing paper at CSCW 2021
July 2021 - paper on everyday algorithm auditing accepted to CSCW 2021
August 2020 - started human-computer interaction PhD at Carnegie Mellon University
Alicia DeVrio, Motahhare Eslami, Kenneth Holstein. [On understanding & empowering action from below in response to algorithmic harm.] Under Review, 2023.
Wesley Hanwen Deng, Bill Boyuan Guo, Alicia DeVrio, Hong Shen, Motahhare Eslami, Kenneth Holstein. Understanding Practices, Challenges, and Opportunities for User-Driven Algorithm Auditing in Industry Practice. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. (CHI), 2023.
Alicia DeVos, Aditi Dhabalia, Hong Shen, Kenneth Holstein, Motahhare Eslami. Toward User-Driven Algorithm Auditing: Investigating users' strategies for uncovering harmful algorithmic behavior. Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. (CHI), 2022.
Hong Shen*, Alicia DeVos*, Motahhare Eslami, Kenneth Holstein. Everyday Algorithm Auditing: Understanding the power of everyday users in surfacing harmful algorithmic behaviors. Proceedings of the ACM on Human-Computer Interaction. (CSCW2), 2021.