Paper Reading - Self-Tracking to Do Less
Self-Tracking to Do Less
Author
Sarah Homewood, CHI 2023
Keywords
Self-Tracking, Phenomenology, Long COVID, COVID 19, Fitbit, Heart-rate monitor, Step counting, Post COVID-19 syndrome, pacing technologies, autoethnography, fitness tracking technologies
WHAT
- autoethnography of long COVID, using Fitbit
WHY
- the extraordinary experience of living with a new illness 
- in line with a recent shift within the feld of HCI towards frst-person methodologies and phenomenological approaches 
HOW
- Autoethnography and self-tracking - Forlano: to capture, examine and communicate the sensorial and emotional richness and complexity of the experience of using a technological device during illness 
- tracking medical expertise, heart rate, step counting 
- notes app and voice memo 
 
- Method - 3 synthesis 
- 3 vignettes 
 
Experimental Design
- Fitbit Charge 4 - heart rate data 
- mid-price and good reviews 
- tracking step-count, heart rate, sleep quality and menstrual cycle data 
 
- Cardiogram - a finer grain of detail about heart rate
 
Vignette / Results
- First Vignette - every time I went from sitting or lying down to standing up, the initial value of heart rate would slowly start increasing faster and faster 
- The value at the peak of this spike in heart rate shaped how I viewed the severity of my long COVID illness 
- the higher the value, the sicker I would see myself on that day 
 
- Second Vignette - 3 months 
- 10000 steps but flash of horror 
- limiting my daily activity was much more important to me than leading Fitbit’s defnition of a “healthy lifestyle” 
- using my Fitbit to set my walking pace 
 
- Third Vignette - 15 months 
- cognitive symptoms were almost gone 
- exercise and physical exertion were the last hurdle 
- start increasing physical activity to avoid other health problems 
- use blue and orange zone to organise life 
- Living without needing to track was my defnition of full health 
 
Discussion
- Misuse of Self-Tracking Technologies 
- Modes of Pacing 
- The Design of Pacing Technologies - Relegating Interoceptive Information 
- Supporting Decision Making During Pacing 
- Understanding and Designing for Dynamic Illnesses 
 
