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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Los Angeles Quantified Self meetup (3/7/2013) - Show & tell by Amanda Tasse

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  • How can both disciplines benefit one-another?
  • How can both disciplines benefit one-another?
  • Charting a subjective temporal-relational experience via location – An inner space exploration
  • Mapping & Tracking Arousal through Galvanized Skin Response. Adding annotation to compare the quantifiable data with the qualitative user experience. Not real-time but later participants could compare both types of information, (narrative or measure) which triggered memories of the experience, & could determine which felt more real. Rather than just relying on the technology or experiential memory.
  • Aggregrators to combine various tracking applications into one dashboard. They propose to suggest relationships between the varying types of data but so far, the data just reports back in pretty simple analytic form.
  • A path is created based upon where the user goes in real space while visualizing HR. Suggests ways to connect the virtual experience with the real world.
  • Visualize personal, collective, & environmental data as responsive landscape portraits. And then to design an engaging means with which to interact with these worlds & with the underlying data that informs them.
  • Visualize personal, collective, & environmental data as responsive landscape portraits. And then to design an engaging means with which to interact with these worlds & with the underlying data that informs them.
  • Visualize personal, collective, & environmental data as responsive landscape portraits. And then to design an engaging means with which to interact with these worlds & with the underlying data that informs them.
  • The jellyfishlive within and respond to this emergent data-formed landscape. MIRA through scrambled languageand info-graphic portraits which represent the user’s activity and wellness.
  • Data collected through native sensors within the mobile device, sensors within the building, and an optional wearable sensor
  • Begin to learn how to read the landscape.
  • Taxonomy: data metaphors
  • Begin to learn how to read the landscape.
  • LAH will periodically send additional push notifications for further interaction
  • Updates, request for information
  • Through combining straight-forward data viz knowledge with evocative landscape worlds & interaction, I hope to provide opportunities forExperiential engagement with the information Extension of the self, self-expression Personalized interactive experience Relationship between everyday in the world activity, hidden data processes, and internal imaginative viz New ways to communicate info and knowledge
  • 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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