How can media technologies be evaluated?
Products of media technology today are often
products that we can see, hear or interact with. That makes them dependent on
user studies that is more than just a survey. The evaluation of how good a
product are depends on not only the data itself but how the user perceive it.
The product can be outstanding in theory but if the users don’t like the
product it is useless. In the paper they used a questionnaire and human tests
to evaluate how good their product is. I believe that combining these methods
are a good way of evaluating media technologies.
What role will prototypes play in research?
A prototype is often the early version of the
finished product. It have all the functions that the finished product are
supposed to have, but in a simpler way. This makes it easy to find errors and
fix them. By using prototypes one can detect errors early and fix them and
after that make a new prototype. This workflow will end up with the finished
product and hopefully without any errors or question marks.
Why could it be necessary to develop a proof of concept prototype?
A proof of concept is the stage before the
product prototype. The purpose of a proof of concept prototype is to determine
whether the idea is good or bad. By this kind of prototype one can determine if
the consumers are interested in the concept. If they aren’t, one does not need
to develop the idea further and therefore save a lot of work.
What are characteristics and limitations of prototypes?
A limitation of prototypes is that it can be
very expensive due to inefficiency in materials and processes. It is often
expensive and time-consuming to build the fully design, especially when the
procedure of prototyping is expensive, building a design -> fixing problems
-> build new design etc. In the end, the finished product could have been
cheaper to produce without producing a lot of prototypes on the way.
The characteristics of prototypes is that they are not fully the same as the
final product. The prototype represents some compromise from the design of the
final product.
How can design research be communicated/presented?
I believe a good way to present a design
research is by using a prototype. It is easy to really show the design and functionality
in a prototype rather than writing everything down for the consumer to read. It
is also easier for the consumers to give relevant feedback if they can see the
design on a prototype, otherwise the consumers might visualize the design
differently and they cannot give proper feedback.
How does a collaborative setting differ from a single user setting as
regards methodology used and the results obtained?
A collaborative setting means that the study is
tested on more than one person i.e. two or more. In a single user setting the
study is tested on only one person. That makes it easier to get a deeper analysis
than a collaborative setting. A collaborative setting can get different kind of
views from people since they have more persons than just one. One does also
have to make sure that the group of people in a collaborative study are
representative.
How can qualitative and quantitative methods in the same study complement
each other?
Since they are a bit different and one can use the results in different ways I
think it is good to combine these two because then one can get a really good
result. For example one can start with a quantitative method like a
questionnaire survey and send that one out to the target group. When the survey
has got enough answers to get a good view of the situation, with graphs or
tables, one can complete this with a qualitative method. Within the survey one
can pick a few participants to study further with e.g. interviews. That would
give a deeper analysis of the results because some things that might have been
unclear in the survey can be straighten out.
How can using both subjective and objective methods give a better
understanding of a phenomenon?
I think that subjective methods are based on
personal experiences and knowledge while objective methods are based on
experiments and measurements. To understand a phenomenon one need to do
experiments and collect data, which are objective methods. One does also need
to make observations and compare with our knowledge, which are subjective
methods. To get a better understanding one does also need to analyze the
results which can be both subjective and objective.