Positive Technology Journal

The world's first robot with its own Facebook page (and that can use its information in conversations with "friends") has been developed by Nikolaos Mavridis and collaborators from the Interactive Robots and Media Lab at the United Arab Emirates University.

The main hypothesis of the FaceBots project is that long-term human robot interaction will benefit by reference to "shared memories" and "events relevant to shared friends" in human-robot dialogues.

More to explore:

• N. Mavridis, W. Kazmi and P. Toulis, "Friends with Faces: How Social Networks Can Enhance Face Recognition and Vice Versa", contributed book chapter to Computational Social Networks Analysis: Trends, Tools and Research Advances, Springer Verlag, 2009. pdf

  N. Mavridis, W. Kazmi, P. Toulis, C. Ben-AbdelKader, "On the synergies between online social networking, Face Recognition, and Interactive Robotics", CaSoN 2009. pdf

  N. Mavridis, C. Datta et al,  "Facebots: Social robots utilizing and publishing social information in Facebook", IEEE HRI 2009. pdf

I and my colleague Giuseppe Riva have just published a letter in Science, where we propose crowd-funding - a form of crowdsourcing applied to finance - as a possible strategy to cope with the lack of investments in research.

The full text of the article is available here: gaggioli_riva_science08.pdf

Video (Italian only)

Re-blogged from InfoAesthetics

a web-based application prototype that allows participants to provide direct responses to current issues facing their governments on a selection of social scales (e.g. housing, health, immigration, social rights). the "Waterfall" interfaces visualizes the issues, votes & opinions of participants, with size depending on importance. "Where in the World" aligns contributing authors with their geographical location. "In Context" displays issues in a quantative by a matrix of horizontal stacked bar graphs.

 

links:

undiscovered-country.net 

restlesseye.com

From Textually.org

The Cell Freak reports on a cell phone experiment by 27 year-old Luke Johnson from Arizona, solliciting calls to his cellphone through a video published on YouTube.

 

"The idea is to find out how many people will call me if I post my cell phone on the Internet for the whole world to see. Call my cell phone. I don't care why you call or what you say. .. Meanwhile, I'm going to keep track of how many calls I receive to find out how many strangers will call someone they've never met before in their entire life."

So far 11,914 people have taken Luke Johnson up on his offer, some from as far away as Japan, Thailand, and South Africa and and his social project has been picked up by CNN.

Via Networked Performance 

Networks have become a powerful metaphor for explaining the social realities of our times. A network, defined minimally, is a system of interconnected elements or nodes, where each node represents an intersection of flows within the network. Everywhere we look there are attempts to explain all kinds of social formations in terms of networks: citizen networks, corporate networks, gamer networks, terrorist networks, learning networks, networks of production, networks of distribution... and so on. The metaphor of the network can be superimposed over just about any form of multiplicity, including non-social ones (for instance, cells in the brain can be described in terms of a network). For the purposes of this study, however, every reference to networks, unless otherwise specified, is meant to allude to technosocial assemblages in which ICT's facilitate social relations between humans unconstrained by the physical distance between them. If Cognitive Science attempted to explain individual consciousness by adopting the metaphor of the brain as a computer, with its inputs and outputs, Social Science is extending the metaphor a step further by attempting to explain the social in terms of networks-or, in this context, sets of interconnected computers/brains."

 

Continue reading Networked Proximity - Section 1 by Ulises Ali Mejias. Also see Networked Proximity - Introduction.

Via 3DPoint 

The Tokyo Ubiquitous Network Project seeks to outfit Tokyo’s high-end shopping district, the Ginza, with 10,000 RFID tags and other digital beacons. The project, led by Ken Sakamura, a professor at the University of Tokyo, will bring location-based information to people carrying prototype readers developed for the trial.

From the PC Advisor article:

“Bringing the terminal close to an RFID tag on a street lamp will pinpoint the user’s location and the system will be able to guide them to the nearest railway station, while walking past a radio beacon in front of a shop might bring up details of current special offers or a menu for a restaurant.”

Via LADS

SLAM is a mobile based social networking application deveoped by Microsoft Research’s Community Technologies Group, which enables lightweight, group-centric real-time communication, photo-sharing and location awareness.

From LADS:

From the user perspective, “Slam” means a group of people with whom you can share you exchange messages and share photos easily through your mobile phone. Slam works on group level, which means that any messages sent to a Slam gets delivered to all the members in the group. To use Slam you need to install the Slam application on your Windows Mobile based devices and need a unlimited data plan. So any messages sent from your smart phone will be over HTTP instead of using SMS. If you don’t have Windows based device, you can still communicate with your Slams through SMS, since each Slam has a different phone number to enable SMS delivery.
Slam delivers a pretty impressive feature set on the smart phones. Besides exchanging messages, users can view private and public Slams, create Slam, invite people to an existing Slam, join Slams, view Slam members, view and upload photos, manage their Slams, and view unread messages. While viewing a member profile Slam also indicates if you the user has any an intersecting Slam group with you.
One of the best features Slam team is working on is to provide location information of people in your Slam group. Once group members set their privacy level to allow appropriate Slam groups to view their location information, Slam maps the location information onto a Windows Live map on your mobile. This feature is more of a proof of concept and works only on few phone including Audiovox 5600, I-Mate Sp3 and i-Mate SP5 for some of the Seattle users of Cingular/AT&T and T-Mobile.

 

Visit also the Microsoft Slam Team Blog