- It's a cup augmented with sensing, processing and communication capabilities, and broadcast in smart environments with context.
- I think the idea is quite interesting, and they also consider the basic properties - the cup can also be dishwashed, so it is now a cup with more functions and added values that can be helpful to our life and still remain original usage.
- Since this paper is published 7 years ago, I think the information is not enough. Check their website (http://mediacup.teco.edu/) - their associated projects are also (even more) interesting.
- It's a video communication system that uses proximity as an interface to provide smooth transitions between peripheral awareness and very close and intimate forms of communication.
- I enjoy reading this paper since the following respects:
- It's kind of related to carewall, the project we're trying to work on.
- It points out the problem I wanna solve before: "it felt important to us that people could actually look into each other's eyes, so the camera was placed right in the middle of the screen." But the black dot is not natural. I haven't thought any good ways to solve. -> However, they points out "the majority of the people didn't think about the camera at all." (Really? I wanna try!)
- Interesting idea: "By moving forward or backward, people alter not only their own image but also the image of the remote persons." => But I wonder how smooth the image will be.
- The sharing smae space idea is a little bit horrifying, I think.
- attentive object:
- to make people's lives more convenient - by augmenting objects with sensors, communication and computation, and by using intelligent interface techniques to predict what a person may be interested in.
- to enrich people's natural interaction with everyday objects, to enrich (even enlighten) people's live
- I'm looking forward to "interact" with objects - life should be different and more convenient throught this way :)
- It provides a system for recognizing naturally occurring postures and associated affective states related to a child's interest level while performing a learning task on a computer.
- I think the most difficult part is to recognize posture and interpret, i.e. activity recognition is quite challenging.
- Combining with other signals is quite important! e.g. facial expression, etc.
- Can't find video... http://affect.media.mit.edu/projectpages/chair/
Ubicomp course @NTU 2006/3/13
