P r o j e c t s : C i c a d a s
The social theory of swarming combined with the technique of
electromagnetic frequency (EMF) detection. Users talking on cell
phones at certain locations along our target development area (John
Street, a short street in downtown Toronto which is home to our
lab as well as many media, entertainment and culture institutions)
trigger swarms of virtual cicadas: sound and light emitting devices
installed in trees. This draws parallels between signal emission
as a communication imperative in both the human and insect worlds.
It also creates a situation of passive interaction whereby users
play a role in the experience without necessarily deciding to do
so.

This project reflects the team’s collective interest in users
who don’t see themselves as such, and pass through urban spaces
as solitary users of PDAs, mobile phones or laptop computers. While
members of youth culture or industry people might be engaging in
social networking, mostly through social networking websites such
as Facebook, in order to participate in social or business networks,
most individuals in urban North America still consider their mobile
devices as one-to-one communication devices. Cicadas seeks to remind
passers-by that their mobile devices are actually small computers
capable of a range of interactive experiences, and even able to
trigger experiences without user intention.
Design Steps, Iteration I:
1. Sensing Range: test sensing equipment in urban/park setting to determine range
of effective detection (range of devices, distances, interference, etc.)
2. Mapping: determine optimum test areas based on high traffic and create sample
measurements for prototype testing
3. Triggering: create hardwire patch between sensor and central controller; interpret
signal for detection strength
4. Displaying: create mechanisms to provide visual and/or audio feedback
5. Activating: create linkage between central controller and brood controller
6. Pattern Responses: develop algorithms to correspond with sensor data
Overall Architecture:
1. User walks through urban/park setting and passively engages in sensor-driven
feedback loop.
2. Multiple locations can be installed along a path, that cause
distinct patterns to be displayed. User, if he/she becomes aware
of the interaction, can cycle through
the installations to create his/her own series of feedback loops.
Next Iterations:
• Proximity sensors that can detect presence (this data can be compared to EMF
sensors to determine whether a user has a mobile device or not)
• Users can select the kind of feedback loop that is displayed
|