In chapter 7 we
are introduced to the concept of data gathering and all the standardized structures
around data gathering such as interviews, observation and questionnaires. The
text goes on to describe sub-structures to each of the above mentioned data
gathering methods, for example interviews can be structured, semi-structured or
unstructured.
This chapter
presented these concepts, that I believe are familiar to most in a way that
made me realize that there is actually a fairly rigid structure around
something as simple as an interview for example. The two key concepts that
stood out to me from this chapter was:
1)
Its is extremely important that the data gathering is
done with focus on a target group.
2)
Triangulation, which is when the thing we want to study
is viewed from many different angles.
Chapter 8
teaches us how to analyze the data that we have gathered. The difference
between quantitative and qualitative analysis is explained to great detail and
a few frameworks such as grounded theory, distributed cognition and activity
theory is presented.
I find the parts
about the theoretical frameworks to be really interesting, in particular
activity theory. Reason being that we could use this theoretical framework to
identify how people use the current technologies at the end points of the route
we have chosen for this project i.e. we could use this find reoccurring
patterns.
Chapter 10
describes the importance of setting up clear requirements for each part of the project,
and indeed the interactive product itself. Not surprisingly we are presented
with different standard methods for finding the right requirements such as Task
analysis which helps us get a better understanding of existing systems and
practises.
I think that our
group should really look into the Essential Use Cases method since it allows
for abstraction of what the user is supposed to do and what the system that is
to be designed should do. I believe that this would give a great deal of
clarity regarding what the system we are to design should have as it’s main
focus.
Question : how do we ensure that the data we get correlates with what they do in reality?
Question : how do we ensure that the data we get correlates with what they do in reality?
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