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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Transcript 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.

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

[email protected]

G61B Laboratory