Authors:
Hassan Issa
;
Alaa Shafaee
;
Stefan Agne
;
Stephan Baumann
and
Andreas Dengel
Affiliation:
German Research Center for Artificial Intelligence (DFKI), Germany
Keyword(s):
Activity Monitoring, Fitness Applications, Life Logging, Quantified Self, Sentiment Analysis, Fitness Trackers Evaluation, Fitness, Fitbit One, Jawbone Up, Nike+ Fuelband.
Abstract:
Wearable fitness and health trackers have been in an accelerated growth since their recent introduction to
consumer markets. Given the growth potential of this market sector, much more devices, with unbounded
set of features, are being introduced to the consumer at a fast pace. This makes the task of evaluating fitness
trackers extremely challenging knowing that the results of an evaluation will quickly become obsolete. In this
paper, a user-sentiment based evaluation of fitness trackers is demonstrated on market leading fitness trackers.
The used approach relies on the crowd, expressed by Amazon.com product reviews, to present an aspect-based
evaluation of any market fitness tracker. Utilizing the crowd knowledge acquired, a personalized recommender
system for fitness trackers is also presented.