Yesterday we received Gimbal proximity beacons. These beacons â€“ or iBeacons as Apple calls the technology â€“ have a small battery and submit a low energy bluetooth signal. This signal can be used within apps to detect if someone (a smartphone) is close (proximity) to a beacon. The app can trigger actions based on the signal.
I’m not sure if Bitcoins are “the future of money”, I’m pretty sure they aren’t the only future and that there is a need for digital money with the freedom that we know from coins and paper money.
Bitcoin is a system that can perfectly co-exist with current systems out there. Although it can use some user experience enhancements. It is still quite difficult to understand and you pay with long strings you can’t understand, complex applications and QR-codes. Bitcoins could use a bit of Square Register to make it really work.
Some sketches I made a while ago to illustrate what I think a web-based twitter client could look like. I really like the Tweetdeck application, because it integrates lists in the most obvious way, showing all the posts like a dashboard. I think the basics of Tweetdeck could be very well made into a web-based dashboard.
The Eclectro Last.fm lovewall is an interactive installation that uses bluetooth to scan for mobile phones. Visitors are asked to change the bluetooth name of their phone into their Last.fm username.
A laptop scans the room using the open source Roomware software. It connects to random visitors and searches the Last.fm database for similarity. It then shows the similarity on a big screen by showing the profiles. A percentage and five artists both have in common.
The installation worked well and I got a lot of very positive feedback by enthusiastic visitors. A few things I learned.
It is possible to have a zero percent match but still have artists in common.
Similar artists are often Gorillaz, U2, Muse, Air.
It is very easy to join, people see something happen and they think it’s too difficult to join. If you tell them that all it takes is changing the bluetooth name of their mobile phone they are really surprised.
Explain, explain, explain.
People like seeing their avatars on a screen. Only showing avatars would probably make a successful application by itself.
Make the screen dark. I used grey photographs and still the brightness of the beamer lightened up the entire place.
The internet connection at public places is almost always difficult (unstable/low signal).
This saturday we have the first Eclectro party in De Unie in Rotterdam (which itself is pretty amazing). It’s the first offline event for something (a group of people blogging) that until saturday does only exist online.
To Eclectrofy this evening we started thinking about doing something extra with the location. How can we make the place visually and interactive exciting as well. Without making it too difficult to use or showing computers.
What I’m making for this saturday
Basically Roomware turns my Mac into a server that is able to read bluetooth names and convert this data into xml. We will ask people at the party to change the bluetooth name of their mobile phone into the username of their Last.fm account. With these Last.fm names an application searches the Last.fm API and extracts data about two random visitors and tell them how much Last.fm similarity they have and which artists they have in common.
Meet new people
The project autorepeats and makes new random matches with names of people that are actually in the room. The results are projected on a screen. Showing public information about people is a gimmick, but it might encourage visitors to meet new people.
Things to do before this saturday
All the technology works. What’s left is finding a beamer, finishing the design and the timing of the interface. The application doesn’t need much time to load, but I’m thinking about adding finctional timing to make it more exiting to watch.
For example first show one player. Show the second player a few seconds later. And finally show the bar (hearth) that indicates the percentages. And maybe add some hidden messages when people have 0 or 100% Last.fm similarity.
Based on Twitterpoll by Erik Borra I made this visualization. The animation is created form filtering tweets on content. If someone says he or she voted for Obama or McCain this information is stored and turned into numbers. This creates an election poll based on tweets.
You can say Twitter is pretty much in favor of Obama. To update the results refresh the page.
A point goes to Obama if the regular expression /vote.*?obama/i succeeds, it goes to McCain if the regular expression /vote.*mccain/i succeeds, else it is undecided / unrecognized.
A second version of the first experiment. In this window you can sort Twitter messages on certain words. Try to work with two words or use the more obvious words like McCain / Obama if you want to use more words. Otherwise you won’t get any results.