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SIMS '04 Final Project
Anita Wilhelm & Erick Herrarte (phD candidates involved: Nathan Good & Kevin Li)
Type:
J2ME client and supporting server engine (Low-fi prototype milestone this term.)
Idea: We
will be creating a mobile game that involves image capture and
annotation. The basic premise of the game is that individuals will
receive “tasks” (“zookes”). The user must complete a set of tasks,
measured in difficulty by each level, to proceed to the next level.
After completing the first set of “tasks” the user will
be able to create the tasks and distribute them to other players. An interesting aspect of the game is the possibility for sponsors to create some of
the zookes/tasks that players complete and award prizes for the first x players who complete the task. It is important to note that note that not all the
tasks are created by sponsors, but that tasks are a mix of what other players create and what sponsors create.
Tasks
Tasks can involve one
of two types of actions:
1. Taking an image of
something - person, place, object, or action.
2. Verifying that
another user in the system has taken an appropriate picture (i.e., that
it is annotated correctly.)
3. Task guidelines and
restrictions will be outlined in further development of the game.
PC Component
There will be a
component of the game which allows players to view their own (and
others’) photos from a PC and continue game play as well.
Players may take photos via the camera and verify photos via the PC.
(Users may also be allowed to take photos with other devices, upload,
and annotate via the browser.)
Reputation Points
Like eBay assigns
reputation stars to sellers, each player will receive reputation
points. If they take photos which do not get verified, these
reputation points decrease. They are penalized for having bad
reputation points (they may have to stay on a level for a longer time
and complete more tasks until their reputation points are sufficient
to proceed.)
Added Value
At the completion of
the game (or on running) a verified correctly annotated photo
database will exist. The system will put all photos which did not
get x% of verification into a trash bin and not add them to the
database. The rich value of this information would be of value to
both sponsors and researchers.
Why? Our Motivation:
The motivation of the
game is sparked from a desire to solve the problem of annotation of
images at time of capture. In this model the added value is actually
end goal. After studying people’s usage patterns with the
phones, we discovered that in general individuals use the phone to
take funny ad-hoc pictures. Leveraging this fact, why not give them
a structure to guide this play and exploration? Therefore we
created a game that will provide an interaction mechanism which makes
annotation transparent and fun to the user. By bringing the user’s
world into the game (this is called Mobile Augmented Gaming), we can
create a very rich interaction exploring social actions of
individuals and communities and also provide a tangible solution to
our primary problem.
Audience:
Anyone with a camera cell phone and has spare time, during which
they sometimes play games. We will be targeting
individuals who have both a mobile camera phone and spare time. Yes,
we know this is a very broad demographic. Our goal, however, is to
target the “every day user”. We also believe that other types of players that are not of the “every day users” type include individuals who geo-cache and who also play mobile
games. By targeting the “every day user” player, we do not want to limit our target audience to only
individuals who geo-cache or mobile game. We are hoping to target an
audience similar to that of the game SIMS: those individuals who are
less concerned with very competitive gaming, but more concerned and
intrigued with society and social interaction in general. It will be
a very simple game to play so, the target population should be
everyday consumers, who are not necessarily technically savvy or a
gamers. They will simply need a camera phone and free time.
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