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.
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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 doing.
what you’re
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.
2.
Client-Server 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 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
glasses) (viewed through expensive
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.
AR phone
Camera Bluetooth Qu i ck Ti m e ™ an d a T IF F ( Un co m p re ss ed ) d ec om pr es so r a r e ne ed ed to se e t hi s p ic t ur e.
Display 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
G61B Laboratory