This week was a bit different from the previous ones when we didn’t had a
seminar but instead two
lectures. I will discuss these lectures separately. In preparation to
this theme I read the assigned texts and during the week I revisited some HCI books and some
literature concerning design
process.
The first lecture was held by
Haibo Li on the Wednesday. He talked about how we can go from idea to a prototype. He
started off with how we can come up with an idea and pointed out that many
times we tend to spend too
little time in defining the real problem/s and instead starts too early
to solve a problem. This might be problematic both because we might have missed
the real problem but it is also a chance that we miss the best solutions. He
talked about spending 90% of the time to define the problem and only 10 % on
the solution. I think much of this is true however I thing the 9:1 ratio is a
bit extreme. But we need to focus much energy on defining the problem, but it
might be hard to do that because we might need to show to our employer results
or have shortage of time.
Some of us have a lot of ideas, which we should consider as a great
resource, which we need to filter in some way to choose the best of them. I
think there are many ways to do this Haibo pointed that we should do a technical evaluation. And
to choose the idea with biggest potential. It is important that it address a real pain problem and appeal the market. However
the most important is probably to ask ourselves if we have the skills to develop
it to be a great product. I found this part of the lecture really good. However
I myself have often come to encounter myself with restricting myself to only
work on one idea to solve a problem and then you get attached to it and it is
hard to reevaluate the idea later. I think it is important to stay open minded and work with
more than one idea in the beginning of a project. What seems to be the best
solution in the beginning doesn’t always turn out to be the best in the end
when you have gained more knowledge and experience of your idea. In other word
we should maybe chose more ideas than one to continue to work with and then
decide later.
The second lecture held by
Anders Lundström was more about this week’s topic when he was more about what Design Research or RtD
(Research through Design) is. He didn’t had the business approach that Haibo
presented but rather a more
research approach. The thing that was most interesting during the
lecture I think was when he talked about how we can use prototypes as tools to provoke the answers to
the research question. When we apply this tool it can often be hard to see what
the empirical data
of the research is. The empirical data could be as an example the whole process or actually
only the pre study
(as in the two articles that was preparation for this theme).
Before I have
always thought about prototypes as something that tries to solve a problem (business).
Another important insight I got during the lecture was when we discussed
that only usage of methods, such as qualitative and quantitative, doesn’t make it contribute with knowledge.
Instead it is the analysis
of the gathered data. I wasn’t surprised by it but I think we often
focus much on the methods and data. When we might invest more time in analyzing
the result we get.
In summary it could be said that design itself is a kind of knowledge. By designing and communicating the findings
we can learn a lot. Designing is a much more complex action that it could be
seen as from the beginning especially when it involves humans. We need to know
a lot of current designs and what the goals humans have. We often need to iterate through the design
process many times and for each iteration we will gain some knowledge.
Dear Calle,
SvaraRaderaIt seems you have put down a lot of effort and time trying to formulate your thoughts in this themes topic, which you have done with excellency! I really like your take on the business vs. the research when it comes to design developing and the open mindedness that you have to keep in order to succeed. I also strongly agree with you on Haibo's 9:1 ratio is extreme but also a really good point when thinking about problem solving!
Keep up the good work!
Hi Calle,
SvaraRaderaI think you clearly summarized what you have learnt during this week. In the first part, I liked that you raised questions, and shared your opinion. I would agree with you that at the first look the best idea later it might be turned out as not so worth. I think definition of the problem and filter system are the ways to minimize the level of errors (unsuccessful ideas). I also pointed out that the second lecture revealed the importance of analysis, as you well described that method will not let you gain knowledge, analysis is the core process. Finally, you wrote down an accurate definition of prototype. That it provokes the answers to reach questions. Do you think that it could be said that prototype also provokes the questions? I understood that designing research is the process where research questions arise even during the process.
Hi!
SvaraRaderaI agree that the 9:1 ratio Haibo spoke of seems a bit extreme when defining/solving problems, but I believe it to be have metaphorical values rather than a purely scientific one. The way I see it, “Haibo’s theory” exists to highlight and work against the fact that people who conduct research of some kind often times value the problem’s solution far more highly than the problem’s definition. I also agree that design can be viewed as knowledge, or at least that a design process is also a production of knowledge. Regardless of which situation it is in, business/research, results from a design process or design research are obviously usable to further research or work - otherwise, wouln’t the entire concept of design be rather redundant? You’ve managed to summarize the week’s theme in a great way even though we didn’t have a seminar in which we could discuss each an everybody’s different interpretation of design research. Keep up the good work!
I like your summary of this theme a lot. Apparently you put some effort in gaining a good understanding of this theme. I totally agree with you that the numbers that Haibo used to emphasize the distribution of time you should spend on the definition and the solution of a problem were too extreme. I guess that he only used them to illustrate the importance of the way of viewing a problem. Nevertheless, I would have preferred if he would not have used concrete numbers if they are not a proven scientific theory.
SvaraRaderaMoreover, I also like that you pointed out the difference between a prototype in research and in the industry. I agree that a business prototype is rather used as a general solution model to a problem and not so much as tool to provoke solutions like in research.
Hi Calle!
SvaraRaderaThanks for your reflection, I missed the lecture by Haibo so it was great to read about it. It seems to have been a good one! I agree that it's hard to leave an idea or an approach on a problem, I too get easily attached to it and want to continue to work on it. I think this was really interesting in the course "Reflekterande designprocess" where I think most of us had to leave our original ideas to work with new ones after feedback from our teachers.
I agree that it was interesting to discuss that data in itself isn't knowledge, it's part of the method. Knowledge comes from analyzing the data. I guess we make some sort of analyzing directly when we see data since we've considered it knowledge even without processing the information we've gathered. To analyze data is tricky though, especially when there is a huge amount of it. It would have been interesting to have some lectures on how to handle and analyze data, and what a smart approach would be.
Hello!
SvaraRaderaI wholly agree with you that we often tend to spend more time worrying about how to get data and less on analyzing it or even thinking about what data we need for our research ("is the data I'm gathering relevant for my study?"). I believe that this is very crucial to research, since we always, always need to focus on our formulated problem or question in our research.
Otherwise all else fails and we can't write good theory on the research.
Good reflection, I too think the 9:1 ration is a bit extreme, but it gets the point accross and from my personal experience with this I think it's better to be a little bit over the top to begin with. You summarized the lectured well and since I missed the second lecture this was a good read for me.
SvaraRaderaKeep it up!
Hi ,
SvaraRaderaThanks for sharing , I can see that you have really put a lot effort in doing this theme and I think you did clearly summarized what you have learnt during this week. I totally agree with you that the numbers that the 9:1 ratio Haibo used were too extreme , but I think that he only used them to illustrate the importance of the way to view a problem.
Hi ,
SvaraRaderaThanks for sharing , I can see that you have really put a lot effort in doing this theme and I think you did clearly summarized what you have learnt during this week. I totally agree with you that the numbers that the 9:1 ratio Haibo used were too extreme , but I think that he only used them to illustrate the importance of the way to view a problem.
Hi!
SvaraRaderaA well-conducted analysis of theme 5 with interesting key concepts. It appears in your blog post you've conducted a thorough preliminary reading where you read the supposed articles and supplemented by other relevant literature. Your review of our two lectures are interesting and I agree with you in your analysis. Well done!
/Paul