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 atasse@gmail.comUniversity 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

Amanda Tasse

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 atasse@gmail.comUniversity of Southern California