3 papers
cs.HC2026
Who Gets to Interpret the Workout? User Tensions with AI-Generated Fitness Feedback
Sujay Shalawadi, Joel Wester, Samuel Rhys Cox +1
Fitness tracking platforms increasingly integrate generative AI to interpret activity data, such as Strava's Athlete Intelligence. These integrations raise questions about how athl…
cs.HC2026
DataCrumb: A Physical Probe for Reflections on Background Web Tracking
Sujay Shalawadi, Katrina Hvítklett, Anna Stentoft Ries +2
Cookie banners and privacy settings attempt to give users a sense of control over how their personal data is collected and used, but background tracking of personal information oft…
cs.HC2024
Exploring Plural Perspectives in Self-Tracking Technologies: Trust and Reflection in Self Tracking Practices
Sujay Shalawadi, Rosa van Koningsbruggen, Rikke Hagensby Jensen
Contemporary self-tracking technologies (STTs), such as smartwatches and smartphone apps, allow people to become self-aware through the datafication of their everyday lives. Howeve…