empathic computing
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Hiroshi Ishii – AWE 2014
• daf
ARToolKit (1999)
First open source AR SDK http://artoolkit.sourceforge.net/
MagicBook (2001)
• First AR story book • Transitional AR to VR experience
AR Tennis (2005)
• First collaborative AR game on a mobile phone
Mobile AR Advertising (2007)
• First mobile AR ad campaign (Saatchi & Saatchi)
AR Business Today
• Around $600 Million USD in 2014 (>$2B 2015) • > 80% Games and Marketing applications
“Do you want to sell sugar water for the rest of your life or do you want to come with me and change the world?"
Steve Jobs to John Sculley 1983
Mark’s Midlife Crisis • Then
• Recently Married • Finished sabbatical at Google • Looking for new opportunities
• Now • Resigned my job • Moved to a new country • Creating a new research group
Interaction Technology Natural
Time
Punch Card
Keyboard
Mouse
Speech
Gesture
Emotion
1950 1960 1980 1990 2000 2010
Thought
Physiological Sensing
Emotiv Empatica
Interaction Technology Natural
Time
Punch Card
Keyboard
Mouse
Speech
Gesture
Emotion
1950 1960 1980 1990 2000 2010
Thought
Implicit
Explicit
Content Capture Realism
Time
Photo
Film
Live Video
Panorama
360 Video
3D Space
1850 1900 1940 1990 2000 2010
3D Image/Space Capture
Google Project Tango Samsung Project Beyond
Content Capture Realism
Time
Photo
Film
Live Video
Panorama
360 Video
3D Space
1850 1900 1940 1990 2000 2010
2D Static
Immersive
Live
Experience
Networking Speeds Log (b/s)
Time
100 b/s
10 Kb/s
1 Mb/s
1980 1985 1990 1995 2000 2010
100 Mb/s
2005
Network Innovation
Universal Connectivity
Networking Speeds Log (b/s)
Time
100 b/s
10 Kb/s
1 Mb/s
1980 1985 1990 1995 2000 2010
100 Mb/s
2005
Text
Audio
Natural
Video
Natural Collaboration
Implicit Understanding
Experience Capture
Natural Collaboration
Implicit Understanding
Experience Capture
Empathic Computing
EMPATHIC COMPUTING Systems that Create and Share Understanding
Empathy
“Seeing with the Eyes of another,
Listening with the Ears of another,
and Feeling with the Heart of another..”
Alfred Adler
Empathic Computing
1. Understanding: Systems that can understand your feelings and emotions
2. Sharing: Systems that help you better understand the feelings of others
Understanding: Affective Computing
• Ros Picard – MIT Media Lab • Systems that recognize emotion
Appliances That Make You Happy
• Jun Rekimoto – University of Tokyo/Sony CSL • Smile detection + smart appliances
Sharing
Can we develop systems that allow us to share what we are seeing, hearing and feeling with others?
• sdfs
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Movies are like a machine that generates Empathy
Roger Ebert
Wearable AR for Empathic Interfaces
• Wearable AR can: • Be unobtrusive • Capture emotion • Share sights, and sounds • Support remote collaboration • Enhance interaction in the real world
Example: Google Glass
• Camera + Processing + Display + Connectivity
• Ego-Vision Collaboration (But with Fixed View)
Social Panoramas (ISMAR 2014)
• Capture and share social spaces in real time
• Supports independent views into Panorama
Implementation
• Google Glass • Capture live image panorama (compass + camera)
• Remote device (tablet) • Immersive viewing, live annotation
User Interfaces
Glass View
Tablet View
Lessons Learned
• Good • Communication easy and natural • Users enjoy have view independence • Very natural capturing panorama on Glass • Sharing panorama enhances the shared experience
• Bad • Difficult to support equal input • Need to provide awareness cues
Example: CoSense (CHI 2015)
• Real time sharing - Emotion, video, and audio • Wearable (sender) – Send emotion and view • Desktop (receiver) - See remote view and emotion
Google Glass e-Health 2.0 board
+
Implementation
Data Capture
Feature Detection
Emotion Recognition
Emotion Representation
Empathic User Interface
Hardware
User Interface
Wearable Interface
• Google Glass + e-Health + Spydroid + SSI • Measure GSR, pulse oxygen, ECG, voice pitch • Share video and audio remotely • Representative emotions sent back to Glass user
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Desktop Interface
Lessons Learned
• Good • System was wearable • Sender and receiver mirrored emotion • Minimal cues provided best experience
• Bad • System delays • Need for good stimulus • Difficult to represent emotion
Scaling Up
• Seeing actions of millions of users in the world • Augmentation on city/country level
AR + Smart Sensors + Social Networks
• Track population at city scale (mobile networks) • Match population data to external sensor data • Mine data for applications
Example: MIT SENSEable City Lab
http://senseable.mit.edu/wikicity/rome/
Example: CSIRO WeFeel Tool
• Emotionally mining global Twitter feeds
• http://wefeel.csiro.au
Research Challenges
• How to capture emotion?
• How to measure empathy?
• Interface/interaction models?
• How to communicate emotion?
• How to create strong empathic bonds?
• How to scaling up to city/country scale?
Potential Applications • Education • Sports training • Rich life logging • Remote meeting support • Psychological treatments • Virtual Travel/Entertainment • Surrogate Adventure Tourism • First responders (stress, team cohesion)
Questions to Think About..
What’s your Vision?
How do you want to be remembered?
“Do you want to sell sugar water for the rest of your life or do you want to come with me and change the world?"
