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Title: Ambient Intelligence Work at MIT Media Lab


1
Ambient Intelligence Work at MIT Media Lab
  • Pattie Maes
  • MIT Media Laboratory
  • pattie_at_media.mit.edu

2
Focus Integrating the information world into
the physical world
  • Making available to a user information that
    is highly relevant to what s/he is currently doing

3
Why offer Information while people are on the
move?
  • To make information more easily readily
    available
  • To promote
  • Insight
  • Inspiration
  • Interpersonal connections
  • without disrupting the user

4
Information While on the Move
  • State of the art in mobile computing
  • Too many clicks
  • Not enough screen space

5
Some of our work in this area
  • Software Agents Group (till 2001)
  • Remembrance agent
  • Periscope
  • Impulse
  • Hanging Messages
  • Ambient Intelligence Group (ongoing, since 2003)
  • What would they think?
  • Ether Threads
  • Ambient Semantics
  • Photowhere
  • ReachMedia

6
Remembrance agent (on Wearable) Bradley Rhodes
(2001)
Context-specific reminders of previous notes
taken (based on location, day, time of day, other
people present, conversation topics, )
7
Periscope A virtual Browser for the Real World
Jim Youll (2001)
Camera with compass and range finder shows
webpages about the location the user is focused
on. (currently being implemented on mobile
phone with GPS possibly compass by Dan Relihan)
8
Impulse Information Exchange with Entities in
the Physical Vicinity - Joan Morris Jim Youll
(2000)
Wordsworth Bookstore lowest price 45
9
Hanging Messages Emily Chang (2001)

Using PDA GPS, users can leave or receive
location-based messages
10
ReachMedia On-the-move Interaction with
Augmented Objects Assaf Feldman, Sajid Sadi
2005
  • Wireless RFID reader wristband reads tags in
    objects held by user
  • Touching an object results in a menu of services
    and information
  • Order a copy
  • Read reviews
  • Leave a message
  • Retrieve messages
  • Do a keyword search

11
ReachMedia On-the-move interaction with
Augmented Objects Assaf Feldman, Sajid Sadi
2005
  • Wireless and mobile
  • Natural and seamless, hands-free and eyes-free
    interaction option
  • Gesture input (accelerometers on wristband)
  • Audio output
  • Keypad screen-based
    interaction option

12
ReachMedia Video
13
Glasses subtle interface - Enrico Costanza (2005)
Wearable peripheral display embedded in a pair
of eyeglasses delivers notification cues in a
private, subtle and non-obtrusive way
14
Ambient SemanticsPersonalizing
informationpresented on the ReachMedia Platform
- Hugo Liu 2004
  • E.g. When user picks up a book with
    ReachMedia wristband, users cell pone conveys
  • A prediction of how much user will like the book
  • Which passages are relevant to users interests
  • How it relates to other books recently read
  • Reviews by respected friends/editors
  • Which friends loved/hated it

15

16
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17
Intelligence methods used in Ambient Semantics
project- Hugo Liu
  • Mining the web
  • peoples homepages
  • social networks sites (Friendster, LinkedIn,
    Orkut)
  • Amazon Google
  • Using Natural Language Processing techniques and
    Common Sense knowledge
  • To find relevant connections (between 2 people,
    between person object)

18
InterestMap Hugo Liu 2004

19
PhotowhereAutomated annotation of photographs
- Dan Relihan Bradford Lassey 2004
  • Cell phone communicates with GPS device via
    bluetooth to record location of picture taken
  • Phone interfaces to metacarta.com server to find
    URLs about that location
  • Extracts and offers keywords for the picture
    taken
  • gt Konica-Minolta Nokia research licenses

20
Ether Threadslocation-based messaging using a
cell phone- Bradford Lassey 2004
  • Blue-tooth and GPS data trigger location-based
    messages relevant to the user and the threads
    s/he is
  • interested in
  • France Telecom
  • hired researchers

21
What would they think? Virtual Mentors - Hugo
Liu 2004
Uses NLP and point-of-view processing to show
what some mentors have to say about the topic the
user is focused on
22
Invisible Media Sensing responding to visual
focus of attention - David Merrill 2005
  • User wears earbud with IR emitter/receiver
  • Augmented objects sense the users focus of
    attention
  • Relevant information is presented in audio
    format
  • Speech input
  • Schlumberger
  • trials further
  • development

23
Object AwarenessDrawing the persons attention
to objects of interest in the immediate
environment- David Gatenby 2005
  • Bluetooth-enabled cell phone communicates users
    interests to augmented objects in users vicinity
  • Relevant objects can draw the users attention by
    blinking their LEDs
  • Functions
  • Finding an object
  • Keyword search
  • Recommendations
  • Similarities
  • France Telecom
  • research license

24
d-touch Printable visual tags Enrico Costanza
  • Recognition of tags based on topology
  • freedom for the shape of the tags
  • personalization
  • can accommodate aesthetic requirements
  • recognizable when bent

25
Challenges in Ubiquitous Information
  • Just-in-time information is useful if it is
  • likely to be relevant to the user
  • Challenges in
  • user profiling
  • detecting context of user
  • recommendation algorithms
  • offered unobtrusively
  • Challenges in
  • Subtle interfaces
  • requires minimal user effort to access
  • Challenges in
  • Natural, on-the-move interfaces
  • safeguards the users privacy

26
Other Projects Augmenting Everyday Objects with
Specific Functionalities
  • Responsive portraits
  • Responsive mirrors
  • Augmented pillows
  • Augmented fabrics for clothing furniture
  • Augmented doors, windows, walls, clocks,

27
Moving Portraits Portraits that react to a
viewers presence actions Orit Zuckerman
  • Adding motion and interaction to traditional
    portraiture
  • Extending the relationship between the viewer,
    subject and artist

28
CASY Responsive PortraitsSupport Staying in
Touch- Orit Zuckerman 2005
  • Context-based delivery of audio/video messages on
    PDA
  • Ex
  • Grandparent records good morning and good
    night video snippets
  • Grandchild is shown the snippet in-context of
    going to sleep or waking up

gt BT collaboration
29
Aesthetiscope- Hugo Liu (2004)
30
Reflective Mirror- David Bouchard, Enrico
Costanza 2005
  • Bathroom mirror
  • allows person to
  • reflect on their
  • recent behavior.
  • Uses half-way mirror
  • hidden LCD screen
  • and camera.
  • Italian fashion
  • industry collaboration

31
Identity Mirror Hugo Liu 2005
Abstracted mirror reflects persons identity
neighborhood as gleaned from users homepage and
public profiles pages
32
Pillow Talk- Amir Bakhtiar, Sajid Sadi David
Merrill 2005
A pair of networked touch-sensitive pillows with
crude LED displays support synchronous, low-tech
messaging
33
Summary
  • Radically rethink user-information
    interaction by
  • Offering ubiquitous information
  • Highly relevant to a unique user and their
    current focus of attention
  • In non-disruptive, easily accessible, privacy
    protecting way
  • May replace traditional keyboard/screen based
    interface

34
Just-in-time Information Technical Challenges
  • Just-in-time information works if it is
  • likely to be relevant to the user
  • Challenges in
  • user profiling
  • detecting context of user
  • recommendation algorithms
    (personalization, contextualization)
  • offered unobtrusively
  • Challenges in
  • Subtle interfaces
  • requires minimal user effort to access
  • Challenges in
  • Natural, on-the-move interfaces

35
Challenge User Modeling/Profiling
  • Approaches
  • Entered explicitly by user
  • Form filling, choosing options in menu
  • Gathered implicitly by system
  • Data mining of observed user behavior
  • Data mining of personal texts
  • Eg homepages, profiles on social networking
    sites, files
  • Combination of approaches

36
Challenge Detecting User Context
  • Detect who, what, where, when
  • Offer info relevant to current focus of user
  • Approaches
  • On desktop
  • Sense users actions in different applications
  • Offline
  • Sensors in the environment on user
  • May involve use of background knowledge
    inferencing
  • E.g. shaking someones hand first time
  • Background info, creating connections, breaking
    the ice
  • versus shaking someones hand nth time
  • Reminders of previous conversations online/offline

37
Challenge Recommender Systems
  • Range of approaches based on
  • Cases/prototypes
  • Features of the content (patterns in content)
  • Collaborative Filtering (patterns among users)
  • Other approaches

38
Challenge Subtle, Natural Interfaces
  • Goals
  • Avoid change of focus/interruption
  • Recommendations are proactive but easily
    ignorable
  • Avoid additional gear/devices/windows
  • Support on-the-move access to details
  • Approaches
  • 1. Either offer suggestions using secondary I/O
    modalities of user
  • Eg peripheral vision, audio, gestures, etc
  • 2. Or provide seamless integration of
    recommendations in existing interface in minimal
    way
  • Offer ramping interface
  • Present minimal hints
  • User controls access to more information/detail

39
Other User Interface Lessons Learned
  • Transparency is key
  • gt trust
  • Avoid dependence/tunnel vision problem
  • Protect users privacy

40
Impact
  • Always-present, pro-active, highly responsive
    interfaces make people more efficient, better
    informed. Examples
  • Better memory (environment/objects around us
    remember and recall information)
  • More effective learning (just-in-time information
    is presented when user is most motivated to learn)

41
For More Information
  • MIT Media Laboratory
  • pattie_at_media.mit.edu
  • www.media.mit.edu
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