Data Visualization: Effects on Motion and Engagement in Health and Fitness is a research project focusing on fitness trackers, how data is presented, and if it has an effect on users.

1. DataVisualization:
By Robin Scales and Carolina Sanabria

2. “The goal is to turn data into information, and information into insight.” – Carly Fiorina
Agenda/Overview

3. Problem Statement

4. Research Questions

5. Do trackers actually motivate users?

7. How do app designers address
motivation issues?

8. Better visualizing of fitness-app data helps discover trends,
reach goals

10. 3 Fitness Apps that UseVisuals andVisualization to Motivate
YourWorkout

13. Keep Fit. UI Design for Fitness Apps

14. Positive Engagement Evaluation
Model for Interactive and MobileTechnologies

16. IDEO method
Fitbit: A UX Case
Study

21. What are the effects on motivation
and engagement in health and
fitness applications?

22. DataVisualization and Engagement: Do Metrics
Motivate?

23. Here is the example they used in the article:

24. Motivation and User Engagement in FitnessTracking: Heuristics for
Mobile HealthcareWearables

25. “Behavior Change with Fitness
Technology in Sedentary Adults: A review of the Evidence for
Increasing Physical Activity”

27. How FitnessTrackers Facilitate Health Behavior Change”,

30. InsideWearables Part 2

32. Conclusion

33. WalkThis Way
https://www.washington.edu/news/2014/07/08/better-visualizing-of-fitness-app-data-
helps-discover-trends-reach-goals/
https://visual.ly/blog/3-fitness-apps-that-use-visuals-and-visualization-to-motivate-your-
workouts
https://uxplanet.org/keep-fit-ui-design-for-fitness-apps-3689dfc01a33
References

34. “Positive Engagement Evaluation Model for Interactive and MobileTechnologies”,
P. Rutledge, PhD, MBA, M. Neal , MA, ABD
https://www.psychologytoday.com/sites/default/files/eee6060_rutledge_ar_positive_engagement_model.pdf
“Fitbit: A UX Case Study” , StaceyWang
https://uxdesign.cc/fitbit-a-usability-case-study-b23e4c539c3c
“DataVisualization and Engagement: Do Metrics Motivate?” , Melissa Pollock March 14, 2018
https://www.icmi.com/Resources/Metrics/2018/03/Data-Visualization-and-Engagement-Do-
Metrics-Motivate
“Motivation and User Engagement in FitnessTracking: Heuristics for Mobile Healthcare Wearables”,
Stavros Asimakopoulos, Grigorios Asimakopoulos, Frank Spillers
http://www.mdpi.com/2227-9709/4/1/5/htm
References Continued

35. “Behavior Change with FitnessTechnology in Sedentary Adults: A Review of the Evidence for
Increasing Physical Activity” ,Alycia N. Sullivan, Margie E. Lachman
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5225122/
“How FitnessTrackers facilitate Health Behavior Change”, Qinge Wu, Kelli Sum, Dan Nathan-Roberts
Proceedings of the Human Factors and Ergonomics Society 2016 Annual Meeting:Volume: 60 issue:
1, page(s): 1068-1072 https://doi.org/10.1177/1541931213601247
“Fitness Wearables andYouths withVisual Impairments: Implications for Practice andApplication”
(KSU Library Link) JoannaC. Colgan, Melissa J . Bopp, Brooke E. Starkoff, Lauren J. Lieberman
Journal ofVisual Impairment & Blindness, Sep/OCT 2016; 110(5): pp. 335-348
“Inside Wearables Part 2” Endeavor Partners
https://blog.endeavour.partners/inside-wearables-part-2-july-2014-ef301d425cdd/
“Data Mine.” (KSU Library Link)
BryanWalsh, Alexandra Sifferlin. Time. 11/24/14,Vol. 184 Issue 20, pp.34-38
References Continued

36. OTHER RELATED ARTICLES:
https://theappsolutions.com/blog/development/fit-app-development/
https://www.sciencedirect.com/science/article/pii/S0164121211001610
https://theconversation.com/a-brief-history-and-a-look-into-the-future-of-
fitness-technology-89884
http://www.pnas.org/content/95/5/2703
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4704953/
http://news.mit.edu/2014/in-the-blink-of-an-eye-0116
http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1216&context=pacis2015
https://dev.fitbit.com/
References Continued