Understanding user behavior at three scales: The AGoogleADay story
Venue
Computer Games and Software Engineering, Taylor & Francis, Taylor & Francis Group, Abingdon, Oxon, UK (2015), pp. 199-214
Publication Year
2015
Authors
BibTeX
Abstract
How people behave is the central question for data analytics, and a single approach
to understanding user behavior is often limiting. The way people play, the ways
they interact, the kinds of behaviors they bring to the game, these factors all
ultimately drive how our systems perform, and what we can understand about why
users do what they do. I suggest that looking at user data at three different
scales of time and sampling resolution shows us how looking at behavior data at the
micro-, meso-, and macro levels is a superb way to understand what people are doing
in our systems, and why. Knowing this lets you not just understand what’s going on,
but also how to improve the user experience for the next design cycle
