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MyRoR: From sensors to stories

MyRoR: From sensors to stories. Dana Pavel University of Essex 17 March 2011. Main goals. Create systems that provide better support for self-reflection and self-understanding Involve the user in all aspects: data collection, interpretation, correlation and visualization.

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MyRoR: From sensors to stories

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  1. MyRoR: From sensors to stories Dana Pavel University of Essex 17 March 2011

  2. Main goals • Create systems that provide better support for self-reflection and self-understanding • Involve the user in all aspects: data collection, interpretation, correlation and visualization

  3. From sensors to stories • Current self-monitoring systems used for lifestyle management do not offer enough insight into why something happened; they mainly focus on recording what happened. • For that, we need more diverse information, more meaningful correlations and ... • We need better visualizations capable to capture such diverse information

  4. Availability context (people or resource) Social context (communication, identity) Signal strength (phone) Event button (user pressed) Mental context (interest, focus, etc.) Battery level (phone) Application context ECG/Heart rate Emotional context Keystrokes Devices around (BT, WLAN-based) URLs visited Environmental noise level 3-axis accelerometer Email data Physical context (position, direction, distance, speed, proximity) Calendar event Temporal context (absolute, relative, duration) Location (GPS, cell ID, country code, WLAN based) Time Activity context

  5. Visualizations in self-monitoring systems

  6. Calendar-based interface Information collected on demand from remote servers Visualizations for information collected and derived stored in the personal database Daily story

  7. Story creation with Scratch/BYOB

  8. Detailed visualizations

  9. User evaluations • Online survey available at:http://ieg.essex.ac.uk/myror/survey/intro.php • User experiments ongoing focusing on: 1. What information is perceived as more useful 2. What correlations are perceived as more useful 3. How do people want to interact with the system 4. Personalized story creation 5. Explore WHY people consider certain events meaningful (based on the event button)

  10. Thank you! Contact info: dmpave@essex.ac.uk PAL project: http://palproject.org.uk

  11. Background

  12. Scenario MyRoR System

  13. Information modelling

  14. Information processing Environmental noise level Availability context (people or resource) Battery level (phone) Signal strength (phone) Crowdness (number of people/devices around) Devices around (BT, WLAN-based) Location (GPS, cell ID, country code, WLAN based) Activity context ECG/Heart rate 3-axis accelerometer Event button (user pressed) Emotional context URLs visited Social context (communication, identity) Keystrokes Topic (subject/content) Mental context (interest, focus, etc.) Sender/receiver Topic (subject/content) Email data Physical context (position, direction, distance, speed, proximity) Participants Calendar event Location Start/end time Temporal context (absolute, relative, duration) Application context (open/active/closed) Timestamps

  15. Scratch elements Scripts can run in parallel, testing various conditions and using Scratch elements to create the story

  16. Story creation Behaviour scripts are created for each sprite

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