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) Stick-e’s (University of Kent at Canterbury) GLOSS/HearSay (University of St Andrews) GLOSS/HearSay (University of St Andrews) Taxonomy of location systems (University of Washington) Taxonomy of location systems (University of Washington)  Identity management Roger Clarke’s work on nymity Roger Clarke’s work on nymity  Augmented Reality (AR) MagicBook / ARToolkit (HIT labs). 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 Constraints processing by classification of nym fields Identity fusion. Identity fusion. Identity fusion Constraints

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: 1. Client-Server 2. Peer-Peer 3. 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  E.g. Tag shops with poor service  Freedom of speech!

Adhocracy This fountain is boring! - Jamie

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 Camera Large screen Large screen Bluetooth Bluetooth Too slow for video processing. Too slow for video processing.  Offload AR to server with Bluetooth.

AR phone BluetoothCamera Display Find fiducial marker Augment image

AR phone APPLICATION  Allan Richards’ usability study - real time gaze analysis (

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 G61B Laboratory