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. 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/
- 4. PUCK
- 5. PUCK
- 6. PUCK
- 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
- 12. Data Management TicTrac, RescueTime, etc.
- 13. ‘Ere Be Dragons
- 14. Basic Concept
- 15. DATA WORLDS An Environment that is Built Upon and Responds to data
- 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
- 23. Content
- 24. Emergent Landscape PERSISTANT EFFORT: Consistent time spent studying in the same room
- 25. Emergent Landscape Space Weather Light Ambience Stress & Activity Level Air Texture Forms Ground Foliage Patterns of Use Architecture Dynamics Beings Animation Engagement Style
- 27. Interaction
- 28. MIRA will prompt for input on qualitative personal information, which will be location and time stamped. Amanda Tasse
- 29. QUALITATIVE USER INPUT • mood • energy level • type of activity • notes Amanda Tasse
- 30. The large display will show the influence on the visualization, but will not display sensitive user input information. Amanda Tasse
- 31. • Observations • Prompts • Visualization shares • Suggestions • Questions Amanda Tasse
- 32. Asks for clarification. Amanda Tasse
- 33. User annotation 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
Notes de l'éditeur
- 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