Nymity (and other made up words)

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Nymity(and other made up words)

• Dan Cutting
• July 2003

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Overview

• Background reading
• Nymity (identity management)
• Conceptual locations
• Adhocracy
• Augmented Reality (AR)
• Schedule and research directions.

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Background reading

• Intelligent Environment (IE)
• Stick-es (University of Kent at Canterbury)
• GLOSS/HearSay (University of St Andrews)
• Taxonomy of location systems (University of
  Washington)
• Identity management
• Roger Clarkes work on nymity
• Augmented Reality (AR)
• MagicBook / ARToolkit (HIT labs).

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Nymity

• BACKGROUND
• IEs need information from people using them, e.g.
  Cinema needs age for R-rated films.
• IDEA
• Only show whats required, e.g. Cinema doesnt
  need name
• Person controls level of anonymity simple,
  unobtrusive.
• MOTIVATION
• Privacy (Big Brother).

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Nymity

• APPROACH
• Nyms - sets of information related to an entity
• Entities can have multiple nyms
• Anonymity ? verinymity.

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Nymity

• RESEARCH
• Reduce probability of entity discovery
• Constraints processing by classification of nym
  fields
• Identity fusion.

Constraints
Identity fusion
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Conceptual locations

• BACKGROUND
• Location holds much context
• Where you are, who youre with ? what youre
  doing.
• IDEA
• Location as point in abstract space
• E.g. location on web
• Need model and distance metric
• Also map between physical and conceptual
  locations.

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Conceptual locations

• MOTIVATION
• Can link people who are close
• More context for IE.
• APPLICATION
• User downloading a Monet painting is close to
  person viewing the real painting in a gallery
• Web user could ask gallery visitor to take close
  ups of certain parts.

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Conceptual locations

• APPROACH
• Where do we get models and metrics?
• Different domains, different needs
• Graph theory, social sciences.
• SAMPLE MODEL / METRIC
• Hierarchical ontology of Yahoo!
• Monet ? Picasso 6.

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Adhocracy

• BACKGROUND
• Three classes of IE
• Client-Server
• Peer-Peer
• Hybrid - some centralised infrastructure but
  communication is peer-peer.
• IDEA
• Data associated with physical locations without
  fixed storage infrastructure
• Use mobile, ad hoc nodes for storage.

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Adhocracy

• MOTIVATION
• Decentralised, hard to control / censor
• Tag places with virtual graffiti
• E.g. Tag shops with poor service ?
• Freedom of speech!

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Adhocracy
This fountain is boring! - Jamie
This fountain is boring!
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Adhocracy

• APPROACH
• Common PDAs / phones
• Wireless data sharing (Bluetooth, WiFi)
• Transient storage in devices when passing through
  physical location
• Replicate, encrypt and distribute graffiti
• Location sensed in many ways - sensor fusion.

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Adhocracy

• CONSTRAINTS
• Requires critical mass of users, graffiti
  vanishes at night!
• Susceptible to jamming.
• APPLICATIONS
• Wiki-style content management, Slashdot-style
  moderation, access reinforcement
• Abstract objects (The Matrix movie) ? multiple
  physical cinemas.

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AR phone

• BACKGROUND
• Virtual objects in real world
• Fiducial markers position virtual objects
• Inaccessible (viewed through expensive glasses)
• Clumsy (viewed with
• computer and web cam).

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Practical use of AR
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AR phone

• IDEA
• Use common mobile device as a view port.
• MOTIVATION
• Increase accessibility
• Reduce clumsiness.

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AR phone

• APPROACH
• Smart-phones (e.g. Ericsson P800)
• Camera
• Large screen
• Bluetooth
• Too slow for video processing.
• Offload AR to server with Bluetooth.

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AR phone
Find fiducial marker
Augment image
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AR phone

• APPLICATION
• Allan Richards usability study - real time gaze
  analysis (http//eyeresponse.com).

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Schedule

• Submitted nymity paper for UbiComp Doctoral
  Colloquium
• Adhocracy UbiComp workshop paper with Aaron and
  David Symonds
• Visiting HIT labs in August with AR phone
• Short paper on AR phone for OZCHI 2003
• Nymity paper with Aaron and John Zic for IEEE
  Internet Computing
• Exploring broad areas, focusing on overlaps.

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Questions?
Dan Cutting dcutting_at_it.usyd.edu.au G61B
Laboratory