Positive Technology Journal

Last Monday I attended Frontiers of Interaction V, where I gave a talk on Participative Ecology. The conference took place in Rome, at the wonderful Acquario Romano, Casa dell'Architettura.

I was really excited to be there, because I consider Frontiers the most interesting interaction design event in Italy.

Frontiers is organized and produced by Leandro Agrò and Matteo Penzo, who are also the founders of the Idearium community, the largest e-community on Interaction Design in Italy.

The format of the conference is very informal and fresh. You can meet people of all sorts, from academic researchers to superstars of interaction design, from anthropologists to futurists and young entrepreneurs, a mix of creativity and talent.

At the end of the meeting I felt physically exhausted but full of positive energy.

Here are some videos

(and, last but not least: Frontiers is completely free of charge, only registration is required. This is great since this makes the event accessible to young students)

W Frontiers!

Neurofeedback-based motor imagery training for brain-computer interface (BCI).

J Neurosci Methods. 2009 Apr 30;179(1):150-156

Authors: Hwang HJ, Kwon K, Im CH

In the present study, we propose a neurofeedback-based motor imagery training system for EEG-based brain-computer interface (BCI). The proposed system can help individuals get the feel of motor imagery by presenting them with real-time brain activation maps on their cortex. Ten healthy participants took part in our experiment, half of whom were trained by the suggested training system and the others did not use any training. All participants in the trained group succeeded in performing motor imagery after a series of trials to activate their motor cortex without any physical movements of their limbs. To confirm the effect of the suggested system, we recorded EEG signals for the trained group around sensorimotor cortex while they were imagining either left or right hand movements according to our experimental design, before and after the motor imagery training. For the control group, we also recorded EEG signals twice without any training sessions. The participants' intentions were then classified using a time-frequency analysis technique, and the results of the trained group showed significant differences in the sensorimotor rhythms between the signals recorded before and after training. Classification accuracy was also enhanced considerably in all participants after motor imagery training, compared to the accuracy before training. On the other hand, the analysis results for the control EEG data set did not show consistent increment in both the number of meaningful time-frequency combinations and the classification accuracy, demonstrating that the suggested system can be used as a tool for training motor imagery tasks in BCI applications. Further, we expect that the motor imagery training system will be useful not only for BCI applications, but for functional brain mapping studies that utilize motor imagery tasks as well.

Google Wave is a new tool for communication and collaboration on the web, coming later this year. A "wave" is equal parts conversation and document, where people can communicate and work together with richly formatted text, photos, videos, maps, and more. In Google Wave you create a wave and add people to it. Everyone on your wave can use richly formatted text, photos, gadgets, and even feeds from other sources on the web. They can insert a reply or edit the wave directly. It's concurrent rich-text editing, where you see on your screen nearly instantly what your fellow collaborators are typing in your wave. That means Google Wave is just as well suited for quick messages as for persistent content — it allows for both collaboration and communication. You can also use "playback" to rewind the wave and see how it evolved.

Watch the demo video below