Crowdsourcing feedback on proposed designs is
an
effective means of gaining insight and
acceptance of a proposed design. Recently
web based
3d
visualisation systems
(Dobos
2012
;
Bugs et al 2010
;
Wu et al 2015)
have enabled crowdsourcing of design feedback on
a larger scale. However such systems rarely p
resent more than
one
design alternative in a
limited design space
and
seldom
provide quantitative analysis on proposed design
scenarios.
This precludes a more participatory
approach
(Borning et al 2004)
including a
wider audience and their insight in the d
esign process.
W
e
propose
a system to assist
the
design team by augmenting a 3d visualisation
crowdsourcing
environment with
quantitative on
-
demand assessment of design variants
run
in the cloud
. This
enables crowdsourced
exploration of
the
design space
.
Automated
participant tracking and submitted feedback on
effective
design options
are collated to
aid
the design team in balancing the demands of urban master planning.