Nicolas Maisonneuve ,

1

• Nicolas Maisonneuve ,
• SONY Computer science Laboratory , Paris
• (Tagora EU-project)
• http//nico.maisonneuve.free.fr
• Interest for this seminar?
• Use web 2.0 community user experience/ design/
  properties to improve urban citizen experience
  for city 2.0
• Collective attention collective emotion
• Managing SN connection overload
• Community building and viability

2
Current work urban community sustainability
City 2.0 How to transfert online usages and the
user experience from web 2.0 into the city for
empowering citizens to participate more actively
in the city and commons management?
NoiseTube.net participatory sensing for noise
pollution
Tracking/ monitoring the collective exposure of
noise pollution as experienced by urban citizens.
Sensors decibel level annoyance level
source tagging GPS
Raised questions How much I am personally
polluted?  Who are the people with similar
exposure profils (to support action)? What is the
collective exposure of the citizens ? Where are
the bad areas? What is the evolution since April?

• Which best practice / incentive mechanism from
  Web 2.0 communities to support interactivity/parti
  cipation?
• Add of online sensors? (twitter my neighbour
  is noisy).
• How to model/visualize pollution exposure
• in mixing all the sensors (e.g.
  decibel/tagging) ?

3
Previous work not finished /ideas

• Collective Attention / Attention management
• Attention profil metrics at the collective
  individual level Alignment , burst, engagement,
  dispersion/concentration, velocity of shifts
  (viability indicitors?)
• scenarios for users feedbacks/recommendations
• SN connection overload 300 online friends vs
  Dunbar number
• How to filter what social activities are
  important in my SN? Can we improve facebook
  filter mechanisms? Can we compress social
  activity (e.g. a summary of my SN activity since
  my last visit) using CS compression algorithm for
  social information? (or visual attention models/
  or aviation cockpit design research)
• How the computer can help to manage my social
  capital?
• Collective emotion extraction in Flickr using
  tags?
• Studying feeling related tags in flickr (tired,
  hate, think, safe,love) a la
  wefeelfine.org (for blog) or Twistori.com (for
  twitter)
• Is there more people feeling happy in NY than in
  SF? Are there temporal feelings pattern (summer/
  winter)? Can we detect offline emotional events (
  a sudden burst of sad tagged pictures?) Is there
  a topic people feeling in love take in picture
  the most? Distribution of feelings?