In the Hitchers game, the streets are full of people who are trying to hitchhike their way across the city or up and down the country.

Players can:

- Summon give hitchers tasks or missions. Like: find your way home or to a given place and deliver a message/take a photo. Hitchers [...]]]> Hitchers (Mixed Reality Lab, Nottingham University)

In the Hitchers game, the streets are full of people who are trying to hitchhike their way across the city or up and down the country.

Players can:

- Summon give hitchers tasks or missions. Like: find your way home or to a given place and deliver a message/take a photo. Hitchers might also be programmed with questions to ask the players who pick them up, and might even ask them to take photos or record video on their behalf so that hitchers acquire memories as they travel.

- Pick up hitchers. Players are notified about nearby hitchers and get the opportunity to pick them up as they pass by.

- Interact with hitchers. Players can carry hitchers with them for a while and interact with them as they go, answering questions, taking photos and maybe even modifying them.

- Release hitchers again. Players can release hitchers at a new location, leaving them to wait for the next player to come along. However, the hitcher leaves them with a memory – its card – when it goes.

- Follow their progress and share their memories. A central web site tracks the progress of all hitchers. All players can get some background information about hitchers who are out there. Beyond this, a player who has obtained a hitcher’s card can access more information.

Location aware, using cell ID’s

When hitcher leaves, he asks a question. There is a web visualization where users can see visuals of user’s trails as well as the questions and answers.

They’re adding tasks and missions in the next iteration, using photos & text messages.

asd@cs.nott.ac.uk

Zonetag (yahoo! research Berkeley)
They are trying to aggregate metadata from users to map out cell id’s in the worldwide networks. (like CD song names, but for images uploaded through mobile phones)

Fahim Kawsar, Kaori Fujinami, Susanna Pirttikangas, and Tatsuo Nakajima George Bernard Shaw

- “The reasonble man adapts himself to the world; the unreasonable one persists in trying to adapt the world to himself. herefore, all progress depends on the unreasonable man”

Personalization => proactive, pervasive, preference

Requirements => structured [...]]]> 1. Personalization and Context Aware Services: A Middleware Perspective

Fahim Kawsar, Kaori Fujinami, Susanna Pirttikangas, and Tatsuo Nakajima George Bernard Shaw

- “The reasonble man adapts himself to the world; the unreasonable one persists in trying to adapt the world to himself. herefore, all progress depends on the unreasonable man”

Personalization => proactive, pervasive, preference

Requirements => structured representation (API)

2. MyWorkPlace: Personalised information about a Ubiquitous Computing enabled building

David Carmichael, Judy Kay, Bob Kummerfeld, and William Niu (University of Sydney)

Invisibility Problem: If the ubicomp apps disappear into the environment, users may not discover the available services. You want it to be invisible, but if it is invisible there are many problems.

MyPlace – personalized views of the current context. You can see whats hidden in the environment. Support the scrutiny of personalisation (being able to understand an app). Personalized display of information about devices in the environment. Different people will have different views of the environment.

Modelling Changing Values – http://www.it.usyd.edu.au/research/tr/tr594.pdf

3. Personalization and Context Aware Services: A Middleware Perspective

Pekka Ala-Siuru, and Tapani Rantakokko (VTT Finland)

Personalizing the profile feature in a mobile phone. How to let the mobile phone know where it is. Trying to get information to the phone, in order to automatically change the profile.

Case Based Reasoning – learning from earlier experiences.

Used GSM base station data (cell ID) + Bluetooth

http://wigen.net

4. Applying Inference Engine to Context-Aware Computing Services