onsdag 18 december 2013

Blog comments: Part 2 (Theme 4-6)

Theme 4: Quantitative research


Blog No. 1
Author of the blog: Jakob Florell
Date: 2 december 2013 17:27
Comment: Hi!
I highly agree about the point you made on the weakness of quantitative methods: "there is no way for the researchers to verify the information submitted is correct".
I'm often skeptical to questionnaires as respondents can choose whatever option to answer the questions and the answers might depend heavily on the respondents current mood, location, time,.. I feel that a quantitative method usually requires to be followed up by a qualitative method in order to ensure accuracy of the results.
I also agree about your statement that the questions "heavily affects the quality and accuracy of your data". How the questions are phrased, in what order, the type of option/s given to answer the question.. There are so many factors that can affect the results.

Blog No. 2
Author of the blog: Kristoffer Ljung
Date: 2 december 2013 18:34
Comment: Hi. Good post and chosen paper!
I wonder though about the reason the study chose students rather than employees? The research paper is as you stated studying the online behaviours of employees, so it seems odd to me that they didn't choose employees but rather students with limited work experience. Where there any specific student related questions in the questionnaire?
I agree with you that the average age in an office is higher that 22 and thus it seems the study isn't very representable. On top of that I also think that they could have put a minimum number of years with work experience, like at least 3 years or so to eliminate those who might have just (recently) started working or been working too short of a period.
Nonetheless, the topic of the paper is interesting considering the ever growing popularity of computer-mediated communication which makes researches like these important in order to take proper measures.

Blog No. 3
Author of the blog: Zahra Alhouaidy
Date: 3 december 2013 15:52
Comment: Since the use of social platforms has been increasing, the authors had pointed out that it's important to pay attention to children and their effectiveness to use the settings. I think there's an ongoing general concern for children's safety on the internet and especially on social platforms where all kinds of people from different countries, ages, etc, communicate and can reach out to the children. So yes, they did talk about it being an issue today which is one reason for their study, to find whether they are aware of the settings, to what extent, etc. to protect themselves. The authors had given some examples of recent events where young people fall victim to different attacks, not only by adults but also by other young people.

Blog No. 4
Author of the blog: Ingrid Larsson
Date: 3 december 2013 17:40
Comment: Hi! You wrote that the collection of data for the study was done over a period of three years. But I'm wondering how it was done exactly during the period? For example in the article we all read by Fondell about URTI, the questionnaire was sent out by e-mail about once a month, over a period of four month. So I'm curious on other types of strategies for the same method and wondering how they did it in your chosen paper.
I think the major problem with longitudinal studies is the fact that usually a lot of the participants get lazy or bored and drop out. They don't last very long unfortunately. Like in your article, it went from 2 000 to 708. I wonder if there could be a solution to this because it's quite disappointing.

Blog No. 5
Author of the blog: Gustav Boström
Date: 3 december 2013 22:11
Comment: Hi. I agree with you about the disadvantage or limitation with quantitative methods that the respondents are not encouraged to provide honest answers or they may not even be comfortable to answer honestly. They could pick the answer that seems expected of them or so. We don't know the condition of the respondents when they answered so when analyzing a questionnaire for example, we only have the option to take for granted that the answers are honest and represent the thoughts of the respondents. I think we always have to take into consideration when it comes to such methods that the results may not be accurate. At least that's the case when the questions concern thoughts or feelings, that is personal matters and that vary from day to day.
But as you also wrote "This problem may occur independent of physical or non-physical contact". Of course the same problem may actually occur even with qualitative methods like interviews, where the respondents may not answer truthfully.
I guess all methods have their positives and negatives, and we just have to try to be as objective and considerate of different circumstances as possible when analyzing.

Blog No. 6
Author of the blog: Matteo Campostrini
Date: 4 December 2013 00:03
Comment: Hi.
I agree with you that quantitative methods need the support of qualitative methods to give a proper interpretation of the statistical data and provide accurate causalities. As you said very well, answers from quantitative methods are mere numbers. Even if the majority picked a certain answer to one question, is it really fine for us to draw the conclusion that the majority of the people have those thoughts? Maybe sometimes, other times maybe not. But how do we know? I think we need to complete the answers to the quantitative method with findings from the respondents' actual thoughts. Some respondents may have thought that two options of a question were right and didn't know which one to pick, there could have been misunderstandings, etc..
But maybe it could also depend on the number of respondents. If it's high enough, say over 10 000 or so, maybe in that case it's fine to draw conclusions with some supporting literature/research.. what do you think?

Blog No. 7
Author of the blog: Johan Storvall
Date: 4 december 2013 00:39
Comment: Hey.
Interesting choice of paper. I think many computer users multitask, that's usually the case. You argued that they didn't explain though why or how Facebook would induce multitasking. I agree that there should be an explanation to his suggestion. But I think the authors might have thought that's the case because of the reason that people on Facebook link stuff to each other, chat, message and comment. So kind of naturally it would induce multitasking? Clicking on the links brings you to that website and while messaging or commenting, you may go do something else while waiting for a reply. I think that's the case for pretty much every social platform and not exclusively only on Facebook? That'd be my guess. However as you wrote, the authors would be able to support their suggestion with qualitative data gathering, which they could have done after the students' computer tasks.

Blog No. 8
Author of the blog: Amanda Andersson Glass
Date: 4 december 2013 01:07
Comment: Hello!
Your chosen paper seems to be well done. I liked the idea that they did both a quantitative and a qualitative method, and even included previous qualitative research. As you wrote, it sounds like it would boost the credibility of their theory. As I've read other people's blog posts and their chosen papers, most of the papers have only chosen a quantitative method and then presented results from previous studies/literature, and then combined those to a final conclusion.
You mentioned that there were no diagrams of the collected data in the study. I would have wanted the data to be visualized too to better comprehend the relationship between different answers and see the patterns, to complement the descriptions. Since the data would be only numbers, it might become difficult for the reader to follow along, like "10% said XX, while 35% said YY, which could be the reason why 70% answered ZZ...".

Blog No. 9
Author of the blog: Sara Långvik
Date: 4 december 2013 16:41
Comment: Hi Sara!
It's a very relevant study you've picked. Many people spend so much time in front of the computer and it ought to cause some visual harm over the long run. I worry about it sometimes myself.
What kind of questions was it on the computer usage? Except amount of time spent etc, since it's a medical study, where there questions about the distance between eyes and computer screen or number of breaks, for example? I wonder if such factors actually make any difference. You wrote that they had a medical check up. I'm thinking that maybe physical activities and the diet also are factors that can be affecting. But since the paper were of "age" and computer use wasn't as broad then, I would guess that such questions were not thought of.
I also want to add that you explained it well how the more respondents you have, the more issues you may get when trying to analyze the data. Every respondent is an individual with their own way of thinking, etc.





Blog No. 10
Author of the blog: Jenny Sillén
Date: 4 december 2013 17:38
Comment: Hi Jenny!
The used method in your chosen paper was an interesting idea that I don't think I have thought of before, letting the students do the observation themselves by taking note of a friend. That way it could eliminate the risk of the observer having an influence on how the study object behaves. With a friend that they know and are comfortable with, they would likely be able to behave (somewhat?) more "normally", as you wrote.
On the other hand you mentioned that there's no guarantee that the notes are correct. The students aren't experienced observers. I would feel doubtful leaving it up to them. They could have excluded an activity for example.
Observations is a good method to use when analyzing behaviours, but I think that as long as the respondents are aware of them being observed, the results will be doubtful. I think observations might be best suited for observations from a distance and "secretly", for example how the general public behave on the public transportation, out on the streets, in stores, etc.Though thinking about the other different methods (interviews, questionnaires, etc), there's never a guarantee of the accuracy of any delivered data.





Blog No. 11
Author of the blog: Jenny Sillén
Date: 5 december 2013 15:35
Comment: Hi Katerina,
I would like to comment on your comment to my comment. :)
You pointed out that a secret observation might lead to legal issues, but I'm wondering if that's really the case? You seem to have been thinking of applying it into the case of Jenny's research paper, to secretly observe the students' study behaviors. In that case I understand of course and I would want to know too (but it would be very difficult to secretly do an observation there because you will have to sneak around behind the students while they are studying at home/school and look at their phones if they are on Facebook or not.. and without getting caught by them. Might require some ninja skills.).
But I was thinking of more general open behaviours of the public, like out on the streets for example and not as private. You could stand somewhere far away with a pen and paper and take note of how many times people choose to cross a certain street on a certain day and a certain time, or something. The people are random, they are anonymous and the only notes you take are numbers or how/what they do with something or whatever the subject is. Another example of an observation is standing by a street and counting how many red cars pass by during one hour. I doubt such studies are illegal. That's why I thought such cases would be best suited for an observation where only you are aware of the study. That's my explanation. :)


Theme 5: Design research

Blog No. 1
Author of the blog: Felicia Joneby
Date: 13 december 2013 13:47
Comment: Hi! I agree with you that the scenario with Pleo was the most interesting. I think if that concept idea could be implemented to work in reality, it would really be able to sell in the markets. There are many toys with sounds and various interactions, but Pleo would be a little unique and popular I think since it functions depending on what you do with it (dress it, etc), and not only pressing buttons or something. I think this concept of actDresses is great as the toys would seem more "real". :)

Blog No. 2
Author of the blog: Kristoffer Ljung
Date: 13 december 2013 14:12
Comment: Hi! Prototypes are a great tool for evaluating and testing an idea, a concept for something. As you wrote, it's a cheap way to research a complex idea in an early stage if you don't want to invest much time, money and effort to something that is still doubtful. However, I agree with you that one drawback with testing with prototypes is the conclusions from the tests. Sometimes it might be difficult because the prototypes are not complete and fully functional. To avoid drawing uncertain conclusions, I think several tests have to be done to make sure.

Blog No. 3
Author of the blog: Hannah Fahd
Date: 13 december 2013 14:46
Comment: Hi! Just like you, I also thought it was fascinating how they managed to draw correlations between programming and their concept of actDresses. When I think about it, it's quite a simple concept that doesn't actually need much to be said about to understand, so it was interesting to read how they connected and argued for it with various factors like comics, fashion and semiotics. I think this article for me has taught me ways of seeing things in new/other perspectives, and also another way of how to write a paper.

Blog No. 4
Author of the blog: Lucy Armelin
Date: 13 December 2013 15:39
Comment: Hi!
It's interesting that you mentioned that the difficult part is trying to get a computer act as a human. The question that I had in my blog post was related to just that. I had thought it would have been interesting if the authors had included a scenario with a human robot with the concept of actDresses. Research is already ongoing in that area, trying to make human robots act "real" and human-like with responses, movements, etc. Imagine if it would react to you putting a jacket on, like the example with Pleo. Children would have a human-like friend!


Blog No. 5
Author of the blog: Johannes Hörnfeldt Nordström
Date: 13 december 2013 15:58
Comment: Hey. Yes, I agree with you that many devices or toys today usually don't have a display with feedback, but there's also usually no feedback with physical languages, like putting on accessories or clothes. Such feedback is instead relied on buttons most of the time in order to cue some action from the toy. By using languages that are more natural for us humans to bring feedback (rather than buttons which are robotic), it would be more enjoyable to play with the toys I think? It's easier to understand how to play with it, rather than having to read through instruction manuals as you mentioned.

Blog No. 6
Author of the blog: Ekaterina Sakharova
Date: 13 December 2013 16:29
Comment: Hi. I think it was a good point that you made there about design research, that it is much closer to practice than to theory. Most of the other research methods that we discussed so far have been heavily theory focused, but in the design research, it's much more practical and object-focused. Of course there is theory , but it seems the main point is coming across with your research about the design and convincing about the advantages with your design, concept, object, etc.

Blog No. 7
Author of the blog: Aron Janarv
Date: 13/12/13 16:58
Comment: Hi. I think it's interesting how you pointed out that the world is becoming more and more artificial and simulated, and that's why prototypes will become more common and necessary. Do you think that development is positive or negative? In my blog post, I suggested that the authors of the concept actDresses could have included a similar scenario to Pleo, that instead of a dinosaur robot using a human robot. We will most likely be able to create very realistic human-like robots in the future, as research in that field is already ongoing. It seems that the concept of actDresses was thinking of going into that direction, to make the robots realistic to our own natural behaviors.

Blog No. 8
Author of the blog: Marit Aldén
Date: 13 december 2013 17:20
Comment: Hi. The thought of having a great but yet realistic idea can make one feel locked up and stuck, so I really agree with you that it blocks people from getting into action and realize their ideas. The ideas might feel "too boring", "too unrealistic", "too similar", etc. So an advice should be to screw such criticism and "just do it", as Haibo Li also said, and see where that leads you! Also as Matteo said in his comment, Facebook is an example. Although there were similar social media platforms out there already, somehow it still managed to appeal the masses.
Another thing I want to say is about what Li said, regarding 90% vs 10%. You wrote that 90% is for defining the problem while 10% is for solving it. I don't know if it's just me misunderstanding him then, because as I understood he actually said the opposite?

Blog No. 9
Author of the blog: Alexandros Sombo
Date: 13 december 2013 17:47
Comment: Hi. I agree that prototypes are a good help in exploration and experimenting new areas or scenarios. Especially if we have a new idea that has not or very little been practiced before, then it's wise to use prototypes in order to explore this new area more in depth and gain a better understanding. Since the area would be still doubtful, then it obviously needs a lot of testing before producing the actual thing. Maybe if it's a well known design area, with a lot of research and practice done before, then some things can be taken for granted I guess. In those cases, maybe it's not necessary using prototypes and it's just enough to refer to the previous research.

Blog No. 10
Author of the blog: Olle Bergendahl
Date: 13 december 2013 18:59
Comment: Hey. I think it's interesting how you wrote that since technology is growing increasingly complex, it's also growing as increasingly difficult for users to imagine a product or service. It's a good point because as you mentioned, "consumers don't know what they want until they see it" which is true. It's really funny too how you cited Henry Ford about faster horses! It's a clever thing to say because sometimes I think people get stuck only thinking about what other people need or want, instead of focusing on the idea. Prototypes are great to explore the eventual behaviors of people with the thought product/service and how well it would work, but sometimes I think there could be a risk that the prototypes will be altered and adjusted too much based on the opinions of the test persons. I think there is a need to also have that in mind and take into consideration that you want to create something new and so what people say about a prototype, which is an unfinished product, may turn to the opposite when they finally see the final product.


Theme 6: Qualitative and case study research


Blog No. 1
Author of the blog: Zahra Alhouaidy
Date: 14 december 2013 16:20
Comment: Hi Filip. Yes, I'm like you that have mostly read papers that usually used one or two methods to answer their research questions. So it indeed was interesting to read a paper that combined three methods and learn how they manage to argue for them and draw conclusions. I agree that the used methods need a purpose and be truly relevant. However it depends on the research questions. It doesn't mean that it's better to have multiple methods. It doesn't always strengthen the paper more than if there were "only" two or even one method. Obviously it would depend on how well the methods used are conducted. I think that in the end that's what it all comes down to; the approach taken to the method/s.


Blog No. 2
Author of the blog: Jakob Florell
Date: 16 december 2013 16:37
Comment: Hi. You wrote that new user behaviors were discovered by researchers that they hadn't thought about before during their pilot interviews. Because of that discovery, they could adjust their study. That sounds interesting to me as the pilot affected their study to that degree. Without that adjustment, I wonder if the conclusions would have been different. Was it mentioned in the paper what kind of user behaviors were discovered or what adjustments were made? That's something that we can learn from, reading their motivations and reasonings.


Blog No. 3
Author of the blog: Jakob Florell
Date: 16 december 2013 17:01
Comment: Hi Carl. You're asking about the differences between the methods of semi-structured interviews and focus groups. I'd like to give my answer to that. As far as I have understood it, semi-structured interviews are usually done one-on-one, as Filip also mentioned briefly in his comment below. While focus groups are, as the name suggests, done in groups focusing on openly discussing a subject (a relevant topic to the research question/s for example).
The semi-structured interviews have a set of questions made up beforehand to be asked to the interviewees, but they are not locked up to those questions only. They are also open for bringing up other relevant questions and follow-up questions of interest during the interviews.
This is what I think mainly separates them. The things they have in common in my opinion would be the possibility to bring up a discussion with both methods, but it's a little more difficult with the interview as they would be discussing with only you and you might unintentionally lead their answers to a certain direction if you're too involved.


Blog No. 4
Author of the blog: Ragnar Schön
Date: 16 december 2013 17:28
Comment: Hi. You wrote that your paper used focus groups with 3-5 participants in each group, which I think is a good idea. As you mentioned that they argued, it allows for deeper discussions with the participants. I think it also gives more space for every participant to take part in the discussion and better reflect upon their own opinions as they are given enough time to express them. This could lead to more genuine answers I guess.
I also agree with your idea that the focus groups could have been followed up with a short questionnaire to make sure that all possible valuable opinions or thoughts of the participants are picked up. It's also a great suggestion to do this iteratively. That could strengthen the study even more as it would assure the results, that the analysis of the data is agreed upon by the participants too so the matter of subjectivity is minimized.


Blog No. 5
Author of the blog: Havva Göcmenoglu
Date: 16 december 2013 18:13
Comment: Hi. Your paper used a focus group with 80 middle and high school students. But I suppose that they further divided them into smaller groups, right?
As you mentioned, I also think that using the method focus groups on children or youths can be very difficult since they are at that age where they are easily affected by another, feel embarrassed, too shy, even uncertain of their own opinions but get led on to an opinion by others, etc. You wrote that the authors considered this difficulty and so tried to create a more relaxed and comfortable setting. Was it mentioned in what way they tried doing that? It would be interesting to know the details. We discussed the topic briefly in my seminar group, doing research with children as the group being studied, and I started reflecting on that. I don't have personal experience in research with children so it awakened my curiosity.


Blog No. 6
Author of the blog: Johannes Hörnfeldt Nordström
Date: 16 december 2013 18:44
Comment: Hi.
I'm wondering whether they used participants from one particular dating website or used participants from different websites? It sounds like it was from one site. Did they want to specifically analyse that website? If not and they wanted more general results for their questions, I think they should have used users from different sites. What do you think?
You wrote that they asked questions about how they shaped their identity on the site. I'm thinking whether those questions aren't considered private. Maybe they could have asked the more sensitive questions in a survey or something. In a paper I chose in a previous theme, they had done interviews with youths and then let them answer the more sensitive questions that they might not be able to say out loud in a survey.
I would also like to ask regarding this "snowball method". I don't think I recognize it. What kind of method is it?


Blog No. 7
Author of the blog: Christoffer Carlsson
Date: 16 december 2013 19:09
Comment: Hi!
Just as "Brainy" commented above, I was also surprised by the time each interview lasted for, up to two hours!(!!) I think that's just too much, isn't it? There should definitely be a time limit or some other strategy done if there are many questions that researchers want answered. The interviewees wouldn't be as optimistic in their answers after maybe 20-30 minutes already.. At least for me personally, I think I would quickly get bored and tired. Interviews require quite a lot from you as an interviewee (at least if you're genuine and want to answer properly). Was the time not mentioned in the paper by the authors, if they did any consideration in any way or why the interviews lasted so long?


Blog No. 8
Author of the blog: Alexandros Sombo
Date: 17 december 2013 017:35
Comment: Hey. It's interesting that they used a program for analyzing their data from the interviews. Does that mean that their conclusions are based on the results they got from the program? Did they give any explanation on how the program works, in what ways it was helpful? Through this course, I have found that there are plenty of such programs available to help researchers. I've been wondering about the disadvantages & advantages of using such programs. Do you think it's really a good idea to rely on them? I think that even if it requires a lot of effort to analyze a huge amount of data, it's still better to do it yourself in order to have full control of exactly how the data is analyzed, etc. Maybe there would be other results if they analyzed the data themselves? I don't know anything about those programs though. Maybe there is research examining the reliability of such programs.
Also, I think it's an interesting suggestion you had there about making this study into a documentary! Actually I think every paper could be made into a documentary. They would be a little more interesting that way rather than just plain text.


Blog No. 9
Author of the blog: Isabella Arningsmark
Date: 17 december 2013 19:19
Comment: Hey. Your paper seems to be quite mysterious and questionable! It's really strange if they didn't explain how they conducted their interviews or given examples of what type of questions they asked. Also, they did observations but didn't say what it was they observed? Hmm, really odd! Then what kind of results did they present from the observations, because that description must have given some clues on what they actually observed?
I'd also like to comment on what you wrote about semi-structured interviews, that you usually obtain relevant info since the participants are carefully chosen. I agree with that, and I'd like to add that I think you're also able to have random participants for interviews with the exception that they have some common qualities that are required for them to be able to answer the questions and thus get relevant info. In that sense, it's quite similar to questionnaires where your target usually have some specific qualities. But I understand your point, that with interviews the participants are usually especially hand-picked.


Blog No. 10
Author of the blog: Maria Strömbäck
Date: 17 december 2013 18:03
Comment: Hey. Very interesting that your paper used interviews and that they conducted them in different ways, because that was exactly the case with my paper too. In my paper, they interviewed face-to-face, by phone and by chat. Just like you, I also suggested that they should have conducted them all in one way considering the different conditions the different ways have which might influence the results. It's interesting that you also thought so!
Because I was thinking whether it's a good suggestion or not, maybe it doesn't really matter that much? We still (should) have the same opinions even if we are interviewed in a different way. I wouldn't have one opinion if I was interviewed by phone and another opinion if I was interviewed by chat. I guess the difference would be not the opinions but just the way the opinions are expressed, explained, etc? So in the end, you might get the same data but the data would be described differently which could affect the results.