LA Quantified Self Meetup (3/13) - Personal Landscape Informatics by Amanda Tasse
1. Personal Landscape Informatics:
Animated worlds as data-visualization,
pattern recognition, emotional
cartography, and self-reflection
PhD Candidate, iMAP Media Arts + Practices Amanda Tasse
School of Cinematic Arts atasse@gmail.com
University of Southern California www.amandatasse.com
2. DATA WORLDS
ANALYTIC,
CONCEPTUAL
NARRATIVE,
EMOTIONAL
SENSORY,
INSTINCTUAL
3. USC Mobile & Environmental Media Lab
Location-Specific Mobile Storytelling
Life-Logging
Built environment as an interactive storytelling entity
+ Personalized responsive environments
+ Context-aware interactions
+ Emergent ambient stories
http://mobilemedia.usc.edu/
7. AMBIENT STORYTELLING FOR VEHICLE-
DRIVER INTERACTION
Augmenting and Deepening the relationship between a
vehicle and its driver(s) over the course of its lifecycle
8. DATA WORLDS
ANALYTIC,
CONCEPTUAL
NARRATIVE,
EMOTIONAL
SENSORY,
INSTINCTUAL
9. 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 Huffman
http://flowingdata.com/2012/10/25/insisting-on-beautiful-maps/
10. EMOTIONAL CARTOGRAPHY
Inner & inter- space exploration
“Carte de Tendre” Madeleine de Scudéry's 1654-61 novel Clélie
11. Bio/Emotion Maps – San Francisco
http://emotionmap.net/map.htm
Christian Nold
16. DATA WORLDS
An Environment that is Built Upon and Responds to data
• Personal
• Environmental
• Collective
17. DATA WORLDS
An Environment that is Built Upon and Responds to data
Well-being & activity
• Mood
• Stress & energy level
• Type & quality of activity
• Virtual productivity
18. Colony – “MIRA”
A sentient character that is the
interface between the user & the data
20. DATA WORLDS
Data Inputs
Accelerometer
Gyroscope
Indoor Location
HRM
Temperature
Energy
Light
Movement
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
34. Personal Landscape Informatics:
Animated worlds as data-visualization,
pattern recognition, emotional
cartography, and self-reflection
PhD Candidate, iMAP Media Arts + Practices Amanda Tasse
School of Cinematic Arts atasse@gmail.com
University of Southern California
Hinweis der Redaktion
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