Nymity (and other made up words)

Nymity(and other made up words) Dan Cutting July 2003

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

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

Nymity BACKGROUND • IEs need information from people using them, e.g. Cinema needs age for R-rated films. IDEA • Only show what’s required, e.g. Cinema doesn’t need name • Person controls level of anonymity: simple, unobtrusive. MOTIVATION • Privacy (‘Big Brother’).

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

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

Conceptual locations BACKGROUND • Location holds much context • Where you are, who you’re with  what you’re 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.

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.

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.

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.

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

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

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.

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.

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).

Practical use of AR

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

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

Camera Bluetooth Display AR phone Find fiducial marker Augment image

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

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.

Questions? Dan Cutting dcutting@it.usyd.edu.au G61B Laboratory

Nymity (and other made up words)