Personal Landscape Informatics:      Animated worlds as data-visualization,         pattern recognition, emotional        ...
DATA WORLDS               ANALYTIC,               CONCEPTUALNARRATIVE,EMOTIONAL               SENSORY,               INSTI...
USC Mobile & Environmental Media LabLocation-Specific Mobile StorytellingLife-Logging Built environment as an interactive ...
PUCK
PUCK
PUCK
AMBIENT STORYTELLING FOR VEHICLE-                         DRIVER INTERACTIONAugmenting and Deepening the relationship betw...
DATA WORLDS               ANALYTIC,               CONCEPTUALNARRATIVE,EMOTIONAL               SENSORY,               INSTI...
Insisting on Beautiful Maps                    ”Atlas of Design” Nathan Yau “Design and aesthetics matter, because form is...
EMOTIONAL CARTOGRAPHYInner & inter- space exploration      “Carte de Tendre” Madeleine de Scudérys 1654-61 novel Clélie
Bio/Emotion Maps – San Francisco                     http://emotionmap.net/map.htmChristian Nold
Data ManagementTicTrac, RescueTime, etc.
‘Ere Be Dragons
Basic Concept
DATA WORLDSAn Environment that is Built Upon and Responds to data
DATA WORLDSAn Environment that is Built Upon and Responds to data                        • Personal                       ...
DATA WORLDSAn Environment that is Built Upon and Responds to data                      Well-being & activity              ...
Colony – “MIRA”A sentient character that is theinterface between the user & the data
Context & platform
DATA WORLDSData Inputs        Accelerometer        Gyroscope        Indoor Location                                 HRM   ...
location aware health       QUANTITATIVE SENSOR INPUT – MOBILE DEVICE & HR • amount & type of activity (accelerometer) • s...
Emergent Landscape
Content
Emergent LandscapePERSISTANTEFFORT:Consistent timespent studyingin the same room
Emergent LandscapeSpaceWeatherLight Ambience   Stress & Activity LevelAir TextureFormsGroundFoliage          Patterns of U...
Aquatic sci-fi macro-science
Interaction
MIRA will prompt for inputon qualitative personalinformation, which will belocation and time stamped.                  Ama...
QUALITATIVEUSER INPUT• mood• energy level• type of activity• notes                     Amanda Tasse
The large display will showthe influence on thevisualization, but will notdisplay sensitive user inputinformation.        ...
• Observations• Prompts• Visualization shares• Suggestions• Questions                    Amanda Tasse
Asks for clarification.                     Amanda Tasse
User annotation                  Amanda Tasse
Personal Landscape Informatics:      Animated worlds as data-visualization,         pattern recognition, emotional        ...
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LA Quantified Self Meetup (3/13) - Personal Landscape Informatics by Amanda Tasse

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LA Quantified Self Meetup (3/13) - Personal Landscape Informatics by Amanda Tasse

  1. 1. Personal Landscape Informatics: Animated worlds as data-visualization, pattern recognition, emotional cartography, and self-reflectionPhD Candidate, iMAP Media Arts + Practices Amanda TasseSchool of Cinematic Arts atasse@gmail.comUniversity of Southern California www.amandatasse.com
  2. 2. DATA WORLDS ANALYTIC, CONCEPTUALNARRATIVE,EMOTIONAL SENSORY, INSTINCTUAL
  3. 3. USC Mobile & Environmental Media LabLocation-Specific Mobile StorytellingLife-Logging Built environment as an interactive storytelling entity + Personalized responsive environments + Context-aware interactions + Emergent ambient stories http://mobilemedia.usc.edu/
  4. 4. PUCK
  5. 5. PUCK
  6. 6. PUCK
  7. 7. AMBIENT STORYTELLING FOR VEHICLE- DRIVER INTERACTIONAugmenting and Deepening the relationship between avehicle and its driver(s) over the course of its lifecycle
  8. 8. DATA WORLDS ANALYTIC, CONCEPTUALNARRATIVE,EMOTIONAL SENSORY, INSTINCTUAL
  9. 9. Insisting on Beautiful Maps ”Atlas of Design” Nathan Yau “Design and aesthetics matter, because form is not secondary to function; form is integral tofunction. A map cannot function if it remains unread. To truly engage map users requires that we present them with something worth looking at. Something that they will want to spend time studying. Something that acknowledges the human need for beauty. Something that causes the user to think about the map in terms beyond whether or not it simply "works.“ -Timothy Wallace and Daniel Huffman http://flowingdata.com/2012/10/25/insisting-on-beautiful-maps/
  10. 10. EMOTIONAL CARTOGRAPHYInner & inter- space exploration “Carte de Tendre” Madeleine de Scudérys 1654-61 novel Clélie
  11. 11. Bio/Emotion Maps – San Francisco http://emotionmap.net/map.htmChristian Nold
  12. 12. Data ManagementTicTrac, RescueTime, etc.
  13. 13. ‘Ere Be Dragons
  14. 14. Basic Concept
  15. 15. DATA WORLDSAn Environment that is Built Upon and Responds to data
  16. 16. DATA WORLDSAn Environment that is Built Upon and Responds to data • Personal • Environmental • Collective
  17. 17. DATA WORLDSAn Environment that is Built Upon and Responds to data Well-being & activity • Mood • Stress & energy level • Type & quality of activity • Virtual productivity
  18. 18. Colony – “MIRA”A sentient character that is theinterface between the user & the data
  19. 19. Context & platform
  20. 20. DATA WORLDSData Inputs Accelerometer Gyroscope Indoor Location HRM Temperature Energy Light Movement
  21. 21. location aware health QUANTITATIVE SENSOR INPUT – MOBILE DEVICE & HR • amount & type of activity (accelerometer) • stress level (change in HR + activity) • energy expenditure (calories) • virtual activity • building temperature Amanda Tasse
  22. 22. Emergent Landscape
  23. 23. Content
  24. 24. Emergent LandscapePERSISTANTEFFORT:Consistent timespent studyingin the same room
  25. 25. Emergent LandscapeSpaceWeatherLight Ambience Stress & Activity LevelAir TextureFormsGroundFoliage Patterns of UseArchitectureDynamicsBeingsAnimation EngagementStyle
  26. 26. Aquatic sci-fi macro-science
  27. 27. Interaction
  28. 28. MIRA will prompt for inputon qualitative personalinformation, which will belocation and time stamped. Amanda Tasse
  29. 29. QUALITATIVEUSER INPUT• mood• energy level• type of activity• notes Amanda Tasse
  30. 30. The large display will showthe influence on thevisualization, but will notdisplay sensitive user inputinformation. Amanda Tasse
  31. 31. • Observations• Prompts• Visualization shares• Suggestions• Questions Amanda Tasse
  32. 32. Asks for clarification. Amanda Tasse
  33. 33. User annotation Amanda Tasse
  34. 34. Personal Landscape Informatics: Animated worlds as data-visualization, pattern recognition, emotional cartography, and self-reflectionPhD Candidate, iMAP Media Arts + Practices Amanda TasseSchool of Cinematic Arts atasse@gmail.comUniversity of Southern California

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