Enabling Self-tracking and Personal Data.

Exploring visualization tools and methods of reflection

Many people track their own data as part of living more healthily, and increasingly health professionals encourage people to participate in self-tracking. The more things we track, the more we come to understand ourselves, but the more statistical ability you need to make sense of the large amounts of data.

I believe self-tracking and visualization tools can be more than a dashboard or a spreadsheet, and that physical toolkits can play a role in both personal data tracking and personal data visualization. I've explored toolkits or methods that integrate reflection, visualization and tracking into a single, physical environment.

MSc Elective Course: Data-Enabled Design

Chance-based narrative interventions for CO2 emissions of video streaming

Key Developments:   Design & Research Processes, Math, Data & Computing, Creativity & Aesthetics

This design study makes apparent the environmental consequences of video streaming in CO2, and disrupts the ‘mindless’ video streaming habits.

Participants 'roll' an amount of time they can stream. They record their amount watched by placing the equivalent weight of CO2 on a scale. A screen establishes how much CO2 was created through the video streaming, and how this compares to other activities such as driving a car.

The process is inspired by rich and aesthetic interactions to create a new tracking narrative surrounding video streaming. The study allowed me to explore new aesthetic self-tracking methods and new data-based design narratives that inspired my graduation project 'DataChest'.