My research focuses on how Personal Informatics (PI) technology (e.g., self-tracking) can empower people with motor disabilities. The use of PI in consumer need space is growing in popularity because it allows people to interact with their data, foster self-awareness, and achieve life goals. While PI is well explored in the Human-Centered Computing (HCC) research domain, they fail to include underrepresented populations, such as people with different level of motor disabilities (e.g., individuals with spinal cord injury/ upper body impairment/ powered wheelchair users). My research aims to bridge this research gap by employing a user-centric lens to answer the following research question: How do individuals with motor disabilities engage with personal informatics systems in daily life? This question includes how people with limited functional abilities can capture self-tracked data, how they want to see and reflect on their recorded data, and what insights they may draw from their tracked data. My research aims to design accessible PI systems based on my deep investigation of user experience data.