1. The empirical data of Finding Design Qualities in
a Tangible Programming Space is the evidence
that was gained by observing the kids while they were trying out the ‘creator
block’. And the empirical data of Differentiated Driving Range: Exploring a Solution to the
Problems with the “Guess-O-Meter” in Electric Cars was the results that was gained by doing a state-of the art analysis,
testing their prototype ‘Guess-0-Meter’ and earlier interviews.
Examples of data of Differentiated Driving Range:
Exploring a Solution to the Problems with the “Guess-O-Meter” in Electric
Cars
-The two arrows that they
added in their concept ‘Differentiated Driving Range’ needs more work concerning, colour, size, shape and location to
make it easier for the drivers to see and understand it.
-That depending on the climate control the speed that gives the longest
driving range can differ
-They also came to the realization that the battery probably needs to become more transparent, so that drivers can easily
understand the correlations.
-That the maximum driving range changes with the seasons.
-The car display should be more naturally integrated with the
speedometer on the dashboard. So that there will be more space for details.
Examples of data of Finding Design
Qualities in a Tangible Programming Space
-Mapping between the physical and the virtual actions is only required
at certain points in the interaction.
-The creator blocks can be made to work as interactive resources, not
only to build a system, but also for interaction with the system that has been
created.
-The creator blocks can be used for tangible representation of actions
beyond adding pictures and behaviors to specific positions on the screen.
-Offline activities play as much part in the user interaction as do
actions that affect the system displayed on the screen.
2. It can be considered a knowledge contribution as the data that is
gathered during this research is meant to benefit design
processes. Design work explores a certain area of interest in a creative
way. The results can be information that was not known before the research.
An example is when the ‘Differentiated
Driving Range’ was tested, they came to the realization that depending on
climate control the speed that gives the longest driving range can differ. If
they wouldn’t have tested their prototype, this information might not have
become public.
3. I don’t think that
there is a difference between these two concepts. I rather think that design intentions is one step before design in general.
So, I see design intentions as a way to gain information by exploring a
certain area and this information helps for an object, idea or a model.
In short, design intentions is a supplement of design in general.
4. I do think that it
is replicable, for an example; a prototype can be duplicated in different
experiments. But I don’t think that the same results will be gained.
As in this kind of research, time, historical setting, skills of the
designers etc. are very important. And except from the available tools and the
skills of the designers, none of the other aspects can be replicated such as time and historical setting.
5.
-In design research it is important that there is made use of new ideas. And other research practices don’t necessary need to use new ideas.
-In design research it is important that there is made use of new ideas. And other research practices don’t necessary need to use new ideas.
-The whole research process is different from that of other researches, as adjustment can be made during the process.
Sources
-http://reboot.org/2012/02/19/design-research-what-is-it-and-why-do-it/
- Faste, T. Faste, H.
(2012) DEMYSTIFYING “DESIGN RESEARCH”: DESIGN IS NOT RESEARCH, RESEARCH IS
DESIGN, Education Symposium 2012, Boston.
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