Self-tracking physiological and psychological data poses the challenge of
presentation and interpretation. Insightful narratives for self-tracking data
can motivate the user towards constructive self-reflection. One powerful form
of narrative that engages audience across various culture and age groups is
animated movies. We collected a week of self-reported mood and behavior data
from each user and created in Unity a personalized animation based on their
data. We evaluated the impact of their video in a randomized control trial with
a non-personalized animated video as control. We found that personalized videos
tend to be more emotionally engaging, encouraging greater and lengthier writing
that indicated self-reflection about moods and behaviors, compared to
non-personalized control videos
