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Beyond the product / Service envy
Process
working with live|work and Olivetti Technost
This project was developed under the tutoring of Lavrans Lovelie
Chris Downs and Ben Reason from live|work
London.
They, as service designer, suggested us the tecnique of fake
evidences to get in touch immediately with the social and
individual consequences of a service.
The background technology we had to enhance with an innovative
service was the security system developed by Olivetti
Technost.
Inspirations
We as a class discuss a lot about security, throwing out some
verbs to represent it. I concentrate in particular on these:
not feeling alone, to connect, to mother.
Another inspiration came from Banana Yoshimoto's book "Deep
Sleep", where she speaks about a woman that has a strange
job: she is a "sleeping partner" for people that
are scared during the night.
Starting concept
My starting point was the idea to take care not of objects
but of the emotional space at home: the confort and warmth,
the sound and the smell, the memory and subjective value in
every object.
How to preserve them?
How to preserve them in me?
How to take care of myself when I scared and don't feel that
confort around me?
My idea was to basically misdirect the fear enhacing the ambient
around me and feeling the precence of someone else taking
care of me.
I got stuck for a long time on the concept in itself because
I couldn't decide wheter was useful a machine or a human interface.
After long talk with Lavrans and Chris I decided write a story
that could contain one of the solution: a human interface
through a video and a community of users.
Fake evidences
Building fake evidences of the concept allowed me to get rid
of the it and look at it from out of the box, making me more
critical.
First of all I wrote an article [see Scenario]
supposing the service was already there, trying to imagine
the story and the immediate consequences.
After I developed the website (faking an existing one) of
the doctor who started the community.
Then I shot a video (from the viewer point of view) of myself
having a bad night. In the video, through an indicator, you
can see how the system tune the ambient around me when I'm
nervous and when a voice try to calm me down.
Next step
I think as a next step I've to deepen my knowledge of the
social interaction through a machine in such an intimate space
and find out more on affective computing and how machine can
effectively recognize our emotions.
Applications
_a broadband service for taking care of your health
_an affective computing application to model your emotional
space
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