1. ALICE TURCHANINOVA UNIVERSITY OF HOUSTON-DOWNTOWN PROF. IOANNIS PAVLIDIS Analyzing Human Activity Patterns via Mobile App

2. Introduction 2 Overview 4 Activity Analysis 7 Network analysis 14 Goals 16 Acknowledgements iBurnCalorie: health and fitness app released by CPL. Current goal: carry out observational study of users in iBurnCalorie social network. Ultimate goal: offer users optimal pairing with other users to motivate physical activity. Method: analyze human walking and driving patterns and social network behavior with iBurnCalorie. 2

3. iBurnCalorie 2 Overview 4 Activity Analysis 7 Network analysis 14 Goals 16 Acknowledgements Allows users to keep track of their daily walking, biking, and driving activity. Includes a social networking component: users choose “buddies” to follow and compete against. 3

4. Persistency categories 2 Overview 4 Activity Analysis 7 Network analysis 14 Goals 16 Acknowledgements Users are divided into low, medium, and high persistency categories based on the number of days they have consistently used the application. Low persistency: 5 or less Medium persistency: more than 5, less than 10 High persistency: 10 or more 4

5. Walking patterns 2 Overview 4 Activity Analysis 7 Network analysis 14 Goals 16 Acknowledgements 5

6. Driving patterns 2 Overview 4 Activity Analysis 7 Network analysis 14 Goals 16 Acknowledgements 6

7. Gephi 2 Overview 4 Activity Analysis 7 Network analysis 14 Goals 16 Acknowledgements 7 www.flickr.com/photos/gephi/

8. Graph components 2 Overview 4 Activity Analysis 7 Network analysis 14 Goals 16 Acknowledgements Nodes in the graph represent users in the iBurnCalorie social network. Edges between nodes represent connections between users. Curved edges should be read clockwise from source to target. 8

9. Graph attributes 2 Overview 4 Activity Analysis 7 Network analysis 14 Goals 16 Acknowledgements 9 Normal Overweight Obese Statistical user

10. Graph of all users 2 Overview 4 Activity Analysis 7 Network analysis 14 Goals 16 Acknowledgements 10

11. Graph of low persistency users 2 Overview 4 Activity Analysis 7 Network analysis 14 Goals 16 Acknowledgements 11

12. Graph of high persistency users 2 Overview 4 Activity Analysis 7 Network analysis 14 Goals 16 Acknowledgements 12

13. Evolution of the network 2 Overview 4 Activity Analysis 7 Network analysis 14 Goals 16 Acknowledgements 13

14. Interventional networking 2 Overview 4 Activity Analysis 7 Network analysis 14 Goals 16 Acknowledgements Track user performance as they follow others. Suggest optimal pairing for users. Better connections, better motivation! 14

15. Further work 2 Overview 4 Activity Analysis 7 Network analysis 14 Goals 16 Acknowledgements Analyze new, larger set of social network data. Write full paper to submit to CHI 2015 (leading conference in Human-Computer Interaction). Write abstract to present at SACNAS conference. 15

16. Acknowledgements 2 Overview 4 Activity Analysis 7 Network analysis 14 Goals 16 Acknowledgements Prof. Ioannis Pavlidis, advisor Ilyas Uyanik, mentor (research assistant, Ph.D. student) 16

17. Questions? Thank you! 17