Frame 01-02

(Joyce) #1

SEATING – With his Data Stool, recent
Design Academy Eindhoven graduate
Henri Canivez uses generative design to
literally personalize a seat. After measuring
the intended user’s weight and dimensions,
Canivez plugs this information into a custom
algorithm to generate the micro-architecture
of a stool that is then 3D-printed in two ver-
sions: PLA bioplastic and aluminium, nylon
and glass.
If we look at seats, however, as
essential props for human socializing – made
precisely to be used by any number of people



  • how useful is the Data Stool? By hyper-
    customizing a seat to follow the contours of
    one person’s body, are we making it useless to
    others? Goldilocks had to try a trio of chairs
    before she found one that was just right, but
    the rest of us probably would have just made
    do with Papa Bear’s chair. How long, after
    breaking and entering, was the fair-haired girl
    planning on sitting around there anyway? It
    may be ideal to tailor a suit, to generate a tex-
    tile design, or to add artistic value by freezing
    one frame in an algorithmic animation of a
    chair and printing a unique iteration of an
    ever-shifting design (as Ammar Eloueini did
    with CoReFab#71), but a made-to-measure
    stool may be a customization too far.
    That said, the Data Stool is gratifying
    in its extremity: it makes abstract personal
    data visible, palpable, even sittable, an innova-
    tion that allows us to see ourselves in our
    objects. It is not just ‘mine’, but a representa-
    tion of ‘me’. As Canivez puts it, ‘This is about
    bringing the user back to the origin of the
    creative process.’ – SM
    henricanivez.com


Can hyper-customizing


products cause us to lose sight of


their COMMUNAL FUNCTION?


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OBJECTS 29
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