How can media technologies be evaluated?
I think that media technologies need to have a prototype in its early state of evaluation because of different reasons. Firstly, the design needs to be appealing and it’s not that simple to explain how the product in question will look like without having a showable prototype. It’s also important that the technology is both user-friendly and easy to use so that it doesn’t arise any questions when using it. By letting people do a think-aloud analysis (meaning that when they’re testing the prototype they directly tell you what they liked and didn’t like about it) it’s easy to get direct feedback. Haibo Li et al. also did a survey which is a good compliment to the prototype-tests.
What role will prototypes play in research?
Prototypes can play an important role in research because it gives the evaluator a better understanding. When testing an idea of a product on someone it’s much easier to instead of saying “it will most likely have these features” show them a prototype or mock-up and let them try for themselves. In some researches it’s difficult to develop a prototype to examine the main questions, for example, when wanting to study the relationship between Facebook-use and the establishing and maintenance of social capital there’s no need for a prototype. But when examine a future product or application a prototype can come in handy.
Why could it be necessary to develop a proof of concept prototype?
I understood “proof of concept prototype” as a way to demonstrate a concept using a prototype. It could be necessary to develop a proof of concept prototype to test the idea more thorough. The concept alone can sometimes be difficult to visualize and therefore it’s good to develop a proof of concept prototype.
What are characteristics and limitations of prototypes?
The characteristic is that a prototype might lack some of the features or is a simplified version of the product. The limitations with a prototype are that it is an extra cost to produce them and you may not discover all the possible defects. Testing a prototype isn’t a guarantee to find all the things that need to be changed before developing the final product.
How can design research be communicated/presented?
I think that prototypes and mock-ups is great for presenting design research because this makes it easier for people to test and evaluate them. Another way is to demonstrate the concept/prototype/mock-up with explanations and images.
How does a collaborative setting differ from a single user setting as regards methodology used and the results obtained?
A “collaborative setting” is when many users are using multiple devices and a “single user setting” is when only one device is used, if I understand it correctly. The difficulty with a collaborative setting, and the difference between a collaborative and a single user setting, is that with many devices and many users the challenges to collect useful data becomes more confounded. If, for example, different users are testing a prototype on different computers the results might get affected in a way that they won’t if only using one device.
How can qualitative and quantitative methods in the same study complement each other?
Quantitative methods are often used to get an overall and general answer. Qualitative methods are used for more exploratory purposes, to do deeper analyses on selected case-studies. For example, a quantitative method could be used for answering questions like how many teenages read books and a qualitative method could answer questions like what does books mean for teenagers. To use both a qualitative and a quantitative method in the same study can often be useful. A qualitative method can tell us what the findings in a quantitative method means. It can analyze the general findings on a more deeper level.
How can using both subjective and objective methods give a better understanding of a phenomenon?
To understand a phenomenon we need to use both subjective and objective methods. The objective methods are for example collected data and measurements and the subjective methods are the observers personal judgement and experiences. We often need the data and measurements as a starting point when understanding a phenomenon and then we study them and use our knowledge, judgement and experiences to understand them.