I am a PhD student specializing in human-computer interaction. Currently, my work focuses on deceptive design patterns, and the effect of perceiving devices as social actors on privacy attitudes. I like to write code; I love to do UX research.
Zhang-Kennedy, L., Keleher, M., and Valiquette, M. (2024) Navigating the Gray: Design Practitioners’ Mental Processes and Rationalization of Deceptive Design Patterns that Negatively Impact Privacy. CSCW 2024. 23 pages doi.org/10.1145/3637374
Keleher, M., Westin, F., Nagabandi, P., Chiasson, S. (2022) How Well Do Experts Understand End-users’ Perceptions of Manipulative Patterns? NordiCHI 2022 21 pages doi.org/10.1145/3546155.3546656
Keleher, M. (2021) Adaptive Colouring of Video Captions using a Fuzzy Expert System. NCUR 2021 1 page abstract Link
Conducted a game theoretical analysis of the proposed Artificial Intelligence and Data Act (AIDA) by modeling the act as an extensive form game between a system developer and an end-user. See final paper
Designed and conducted a pilot eye-tracking study evaluating the usability of bright patterns as an alternative to deceptive patterns. See final paper
We designed and evaluated 3 prototypes using a survey and semi-structured interviews. We analyzed our results with descriptive statistics and reflexive thematic analysis. See final paper
I designed 2 distinct pasword manager prototypes which adhear to the direct manipulation and command language interaction styles respectively. In the end, adhering so strictly to a interaction style seems to limit both its utility and its ability to appeal to large audiences. See final paper
I conducted usability studies and semi-structured interviews to analyze the usability of the film-based social media website, Letterboxd. I used descriptive statistics and reflexive thematic analysis to analyze my results. See poster
We conducted semi-structured interviews to understand end-users perceptions and mental models of online targeted advertising. We analyzed our results with reflexive thematic analysis. See final paper
Eye-OS is a mock operating system that leverages eye-gazing as a primary interaction method. Our proof of concept focuses on video playing as a high-level goal, and explores ways in which video playing’s sub-tasks can be optimized for this new interaction. I conducted pilot usability tests to evaluate our prototype and found that despite some issues with task efficiency, participants generally found Eye-OS intuitive and pleasent to use. See project
Email: maxwellkeleher@gmail.com
LinkedIn: Maxwell Keleher
Twitter: @maxwell_keleher