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Modeling Information from Modeling Information from Wearable Sensors Wearable Sensors Florence Balagtas-Fernandez & Heinrich Hussmann Media Informatics Group Department of Computer Science University of Munich Outline The Mobi le A


  1. Modeling Information from Modeling Information from Wearable Sensors Wearable Sensors Florence Balagtas-Fernandez & Heinrich Hussmann Media Informatics Group Department of Computer Science University of Munich

  2. Outline • The Mobi le A pplications ( Mobia ) Modeling Framework • Application Scenario • Modeling Medgets and User Interactions • Evaluation: Collecting User Preference • Summary and Conclusion F. Balagtas-Fernandez & H. Hussmann ● MDDAUI Workshop at IUI ● February 8, 2009 2

  3. Mobia Modeling Framework • Mobia Modeling Tool – Allow non-expert users to easily create mobile applications by modeling the mobile application and having a tool automatically transform the model to code • Easy to learn • Feature modeling constructs that are intuitive – Extend to different application domains • Current focus: Mobile Health Monitoring F. Balagtas-Fernandez & H. Hussmann ● MDDAUI Workshop at IUI ● February 8, 2009 3

  4. Mobia Modeling Framework F. Balagtas-Fernandez & H. Hussmann ● MDDAUI Workshop at IUI ● February 8, 2009 4

  5. Mobile Health Monitoring Application Scenario F. Balagtas-Fernandez & H. Hussmann ● MDDAUI Workshop at IUI ● February 8, 2009 5

  6. Modeling the Sensor and Data F. Balagtas-Fernandez & H. Hussmann ● MDDAUI Workshop at IUI ● February 8, 2009 6

  7. Modeling the Sensor and Data F. Balagtas-Fernandez & H. Hussmann ● MDDAUI Workshop at IUI ● February 8, 2009 7

  8. Modeling the Sensor and Data • Dealing with complex scenarios wherein input from one sensor is a prerequisite for another sensor F. Balagtas-Fernandez & H. Hussmann ● MDDAUI Workshop at IUI ● February 8, 2009 8

  9. Modeling User Interaction • Given – Medget Instances: A, B, C – Medget Data: x, y, z, a, b – Actions: Choose, Drag, Drop, Click, Connect • User’s Goal – Select the Medget A and the MedgetData x F. Balagtas-Fernandez & H. Hussmann ● MDDAUI Workshop at IUI ● February 8, 2009 9

  10. Choose, Drag and Drop F. Balagtas-Fernandez & H. Hussmann ● MDDAUI Workshop at IUI ● February 8, 2009 10

  11. Drag, Connect and Click F. Balagtas-Fernandez & H. Hussmann ● MDDAUI Workshop at IUI ● February 8, 2009 11

  12. Drag, Drop and Click F. Balagtas-Fernandez & H. Hussmann ● MDDAUI Workshop at IUI ● February 8, 2009 12

  13. Modeling User Interaction • Open Questions – Evaluating the interactions • Efficient? • Intuitive? • Easily Learnable? F. Balagtas-Fernandez & H. Hussmann ● MDDAUI Workshop at IUI ● February 8, 2009 13

  14. Evaluation • Preferred – Presentation of a 14 Participants Medget and Related data – Presentation of all Available Medgets – Preferred Interaction Technique F. Balagtas-Fernandez & H. Hussmann ● MDDAUI Workshop at IUI ● February 8, 2009 14

  15. Presentation of a Medget & Related data F. Balagtas-Fernandez & H. Hussmann ● MDDAUI Workshop at IUI ● February 8, 2009 15

  16. Presentation of all Available Medgets 46% 31% 23% Grouped Display Minimalist Display Individual Display F. Balagtas-Fernandez & H. Hussmann ● MDDAUI Workshop at IUI ● February 8, 2009 16

  17. Preferred Interaction Technique 46% Choose, Drag and Drop Approach Drag, Drop and Click Approach 38% 16% Drag, Connect and Click Approach F. Balagtas-Fernandez & H. Hussmann ● MDDAUI Workshop at IUI ● February 8, 2009 17

  18. Summary and Conclusion • Overview of the Mobia Framework • Medget Model Construct to represent information from wearable sensors used for mobile health monitoring • Model User Interaction • Evaluation results based on user preference F. Balagtas-Fernandez & H. Hussmann ● MDDAUI Workshop at IUI ● February 8, 2009 18

  19. Thank you for your Thank you for your attention. attention. Questions?

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