I'm currently a 2nd year PhD student in the Human Computer Interaction Institute (HCII) at Carnegie Mellon University where I'm advised by Geoff Kaufman.
My research interests center around understanding how Black communities are impacted by technology/understanding the sociotechnical experiences of historically excluded communities more broadly. In doing this, I want to reimagine potential solutions through participatory design and community based approaches.
In my free time I enjoy riding my bike, making spotify playlist's and taking pictures on my film camera!
You can reach me at lisaegede96 [at] gmail.com!
1. [Paper] C. Harrington, L. Egede, “ Trust, Comfort, and Relatability: Understanding Black Older Adults’ Perceptions of
Chatbot Design for Health Information Seeking”, In Proceedings of the 2023 ACM Conference on Human Factors in
Computing Systems (CHI 2023)
2. [Paper] M. Madaio, L. Egede, H. Subramonyam, J. Wortman Vaughan, H. Wallach, “Assessing the Fairness of AI Systems: AI Practitioners’ Processes, Challenges, and Needs for Support”, Proceedings of the ACM on Human-Computer Interaction 6. CSCW1 (2022): 1-26
3. [Paper] J. DeHart, C. Xu, C. Grant and L. Egede, “Proposing an Interactive Audit Pipeline for Visual Privacy Research”, 2021 IEEE International Conference on Big Data (Big Data), 2021, pp. 1249-1255
4. [Poster Presentation] J. DeHart, L. Egede, C. Grant, Poster: “Exploring Biases in Vision Privacy Protection Techniques”, IEEE Symposium on Security Privacy, May 2019