LA Quantified Self Meetup (3/13) - Personal Landscape Informatics by Amanda Tasse
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Transcript of LA Quantified Self Meetup (3/13) - Personal Landscape Informatics by Amanda Tasse
Personal Landscape Informatics: Animated worlds as data-visualization,
pattern recognition, emotional cartography, and self-reflection
PhD Candidate, iMAP Media Arts + Practices Amanda TasseSchool of Cinematic Arts [email protected] of Southern California www.amandatasse.com
DATA WORLDS
SENSORY, INSTINCTUAL
NARRATIVE, EMOTIONAL
ANALYTIC, CONCEPTUAL
USC Mobile & Environmental Media Lab
Location-Specific Mobile StorytellingLife-Logging
http://mobilemedia.usc.edu/
Built environment as an interactive storytelling entity+ Personalized responsive environments+ Context-aware interactions+ Emergent ambient stories
PUCK
PUCK
PUCK
AMBIENT STORYTELLING FOR VEHICLE-DRIVER INTERACTION
Augmenting and Deepening the relationship between a vehicle and its driver(s) over the course of its lifecycle
DATA WORLDS
SENSORY, INSTINCTUAL
NARRATIVE, EMOTIONAL
ANALYTIC, CONCEPTUAL
Insisting on Beautiful Maps ”Atlas of Design” Nathan Yau
“Design and aesthetics matter, because form is not secondary to function; form is integral to function. 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 Huffmanhttp://flowingdata.com/2012/10/25/insisting-on-beautiful-maps/
EMOTIONAL CARTOGRAPHY
“Carte de Tendre” Madeleine de Scudéry's 1654-61 novel Clélie
Inner & inter- space exploration
Bio/Emotion Maps – San Francisco http://emotionmap.net/map.htm
Christian Nold
Data Management
TicTrac, RescueTime, etc.
‘Ere Be Dragons
Basic Concept
DATA WORLDS
An Environment that is Built Upon and Responds to data
DATA WORLDS
An Environment that is Built Upon and Responds to data
• Personal• Environmental• Collective
DATA WORLDS
Well-being & activity• Mood• Stress & energy level• Type & quality of activity• Virtual productivity
An Environment that is Built Upon and Responds to data
Colony – “MIRA”
A sentient character that is the interface between the user & the data
Context & platform
DATA WORLDS
Data Inputs
AccelerometerGyroscopeIndoor Location
TemperatureEnergyLightMovement
HRM
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
location aware health QUANTITATIVE
Emergent Landscape
Content
Emergent Landscape
PERSISTANTEFFORT: Consistent time spent studyingin the same room
Emergent Landscape
Forms
Space
Dynamics
Ground Foliage Architecture
BeingsAnimationStyle
WeatherLight AmbienceAir Texture
Engagement
Stress & Activity Level
Patterns of Use
Aquatic sci-fi macro-science
Interaction
MIRA will prompt for input on qualitative personal information, which will be location and time stamped.
Amanda Tasse
USER INPUT • mood• energy level• type of activity• notes
Amanda Tasse
QUALITATIVE
The large display will show the influence on the visualization, but will not display sensitive user input information.
Amanda Tasse
• Observations• Prompts• Visualization shares• Suggestions• Questions
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Asks for clarification.
Amanda Tasse
Amanda Tasse
User annotation
Personal Landscape Informatics: Animated worlds as data-visualization,
pattern recognition, emotional cartography, and self-reflection
PhD Candidate, iMAP Media Arts + Practices Amanda TasseSchool of Cinematic Arts [email protected] of Southern California