Exploring and Designing to Support Gig Workers' Self-Tracking Practices

My doctoral research examines the intersection of the gig economy and self-tracking, exploring how gig workers use self-tracking to navigate their jobs. It outlines two main objectives: first, to investigate gig workers’ self-tracking behaviors and practices through interviews and surveys; and second, to design effective tools for gig workers by systematically evaluating self-tracking apps and enhancing their design through co-design workshops. By integrating findings from these studies, the dissertation aims to enhance self-tracking systems, improve gig worker support, and contribute to human-computer interaction (HCI) research.