The article
that I chose for this week’s assignment is ”Knowledge
and networks: An experimental test of how network knowledge affects
coordination” by Daniel Enemark, Mathew D. McCubbins, Nicholas Weller.
The
motivation for the paper lies in a previous argument that adding connections to
a network or changing the structure of existing connections in a network can
support successful coordination. However, changing connections or network
structure can also have negative effects and there is therefor a need to search
for an alternative way to add connections when dealing with network
coordination problems.
The article
presents experimental evidence that a network doesn’t have to change structure
to increase people’s knowledge and coordination, but that people quickly can
coordinate over networks when they have the opportunity to observe the full
network; a more complete view over the network leads to faster coordination.
By using an
experimental method they are able to test how the design of a network affects
the coordination and performance. Their study is built on two main theories –
graph theory and game theory. One issue that is brought up is when performing
experimental tasks there are obstacles to generalizability which means that no
matter of how many tasks they run, they can’t be sure to demonstrate that the
effects are universal. However, by using two different coordination forms and a
broad range of network structures the range of environment helps in improving
the generalization.
For this
particular study the use of a experimental method is really helpful since the
authors wants to observe how people interact and coordinate within certain
networks. One thing that they didn’t consider in their study is the knowledge
of different network structure that the subjects already possess. This may have
an impact on the outcome of the study.
Qualitative
methods are helpful when looking at certain behaviors, and in this case how
people interact with a system. By only collecting data regarding how people for
example think that they would act (a more quantitative method) would not only
be less detailed but could also provide wrong information about what is really
going on in the situation. What people think that they do and what they
actually do are two completely different things.
For this
week we also read the article “Comics,
Robots, Fashion and Programming: outlining the concept of actDresses” by
Fernaeus, Y and Jacobsson, M. The article presents ActDress which is a form of
physical programming using physical markings to be attached directly to a
digital artifact. Examples could be using physical labels, clothing or other
accessories for controlling physically embodied systems.
The
motivation and purpose of the ActDress concept is to provide the end-user with
their own control and programming language when it comes to electronic devices.
A question
that I would like to discuss for next time is whether qualitative or quantitative
methods are becoming more important in our digitalized world?
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