Simone Lira Calabrich, Bangor University
@Simonecalabrich
The Covid-19 pandemic has restructured behavioural research, driving scientists to adapt and move traditionally in-lab studies to online experiment deployment platforms. While adult participants are generally able to undertake remote experimental tasks unassisted, most studies involving child subjects still require the presence of a researcher monitoring and ensuring participants stay on task. To ensure high-quality data collection, it is imperative that the researcher not only be appropriately trained to test children remotely, but also that the task be child-friendly and sufficiently engaging to keep the children focused in front of their screens for the duration of the experiment.
Here, we will share tips on how different freely and widely available resources (e.g., Microsoft Teams, Praat, Wuggy, Audacity, attribution-free content websites) can be employed to build an engaging and child-friendly mouse-tracking task for assisted administration on Gorilla Experiment Builder. We will present a novel gamified mouse-tracking paradigm which we have used to investigate paired associate learning in skilled and less-skilled Key Stage 2 children remotely. The gamified task, which included a short narrative and animations to keep the participants engaged, was remotely monitored by trained research assistants who provided support and coded verbal responses live.
Full Transcript:
Simone Calabrich:
Hi, everyone. I’m Simone and I’m a PhD student at Bangor University. And today I’ll show you some of the things that we do to make our online experiments on paired associate learning, more engaging and child-friendly as well. Needless to say, the children and adults are two completely different populations. So the way children engage with experiments and online testing is completely different from adults in many different aspects. With few exceptions, I would say most adults will complete our experiments with no major problems, provided that they’re given clear and detailed instructions. Children, on the other hand, will inevitably need more help and guidance and they might get bored faster as well. And another issue is that sometimes parents or guardians might want to help the child during an experimental task, which I appreciate its something that they do with the best intention, but the data collected under certain circumstances will probably not be a true reflection of the child’s performance and we won’t be able to use their data in our reports.
Simone Calabrich:
I’m not sure if this is on top of the… So to circumvent that we found that having a research assistant guiding and motivating the child through the experiments will produce the best quality data, and the application which we have been using for that is Microsoft Teams. And what we do is we request the child to share their screen with us so that we can keep track of what they’re doing in the experiment as if we were with them in the lab. And with the parents or guardians permission, we also sometimes ask them to give us control of their screen, to make sure that relevant details are entered correctly, and also that the several steps in our experiment are followed as expected. What we also did was we provided our research assistants with lots of training so that they could be able to administer the tasks effectively.
Simone Calabrich:
And this was especially relevant because our paradigm required verbal responses to be scored online, and we also had multiple lists. So it was important that they were on top of everything. And we also made sure that the research assistants themselves piloted the task as if they were participants. And because we also administered a battery of cognitive and literacy tests, we made sure that the research assistants spent some time administering the tasks to each other as well. And we believe that these steps allowed us to anticipate and even fix some of the issues prior to starting data collection with the children. And in addition to having a research assistant supporting and encouraging the children, one thing which we also introduced to our task was gamification, which I know that it’s going to be discussed extensively later today, but put simply, gamification is the application of game mechanisms in non-game environments.
Simone Calabrich:
And one of the main goals of gamification is to enhance motivation levels. And there are many different game elements which can potentially be applied in behavioral science. But this has something to do with one of the questions in the chat earlier today, but it’s really important that we evaluate and decide which of these elements are the most suitable for the purposes of our investigation. And I think the gamification element, which most people probably think about first, is the introduction of some sort of reward based on the participant’s performance. But we know that this is not always feasible for some investigations because sometimes when we provide feedback to participants or when we tell them how well or how badly they’re doing, we might end up introducing some sort of bias to their performance, which could negatively affect our findings. So this was the case for us, to some extent, we wanted to run a mousetracking experiment in Gorilla, which would have the classical elements of most mousetracking tasks.
Simone Calabrich:
We had two response options at the top of the screen. We had a button at the bottom, which upon clicking on it, it would play an audio file. But apart from a colorful button, which we added to make it slightly more child-friendly, we felt that there was not much that could be added to the experimental task itself because any major modifications such as providing the children with scores and things like that, could potentially influence our findings. So what we did was we embedded our experimental tasks in the context of a fictional story, which is a very, very easy to implement gamification element. And we think that by introducing characters to our experiments, we could then use these characters at several different points throughout the experiment.
Simone Calabrich:
So for example, the characters in our case provided the children with instructions, they gave the children words of encouragement after a certain number of trials, as if this was an actual game, but that was actually done at regular intervals, regardless of the children’s performance. And the narrative we introduced also had a logical plot line. So we had a beginning and end to that story so that the children could have something to look forward to as they did the task. And in our experiment, we were investigating children’s ability to learn novel visual phonological associations, but we told the children that the symbols ans pseudo-words that they would be exposed to, came from an alien language and that by playing the game, they would learn some words from that language and the decode a message at the end of the experiment.
Simone Calabrich:
And the main point with this was just to make the children forget, to some extent, that they were participating in an experiment and get them interested and curious about the task as much as possible. So we primarily use attribution-free websites to select pictures, short animations, and also sound effects for our tasks. And some of these websites even allow us to modify the stimuli and adapt them to suit the purposes of our task. So we creatively used those screens and also the audio zones in Gorilla to generate a stop motion-like animation in order to demonstrate how the experimental task was supposed to be done. So we recorded a narrative and then we separated the audio files into smaller clips. And when we combined that with some of the illustrations, we were able to tell a simple but effective story to the children without having to rely on a lot of technical expertise, we didn’t even have to code for that.
Simone Calabrich:
We also used a speech software package to manipulate some audio recordings. We used specifically the change gender function in Praat in order to make the instructions of our task styles a little bit more whimsical.
Zop:
Hi, My name is Zop and I come from a galaxy far, far away called Bip.
Simone Calabrich:
I’m not sure if you could hear this. But what we did was we tried to do our best to make every step of the way fun, colorful, intriguing. If we had a start button or a relevant translation between the screens, we added sound effects like this one. [crosstalk 00:07:33]
Simone Calabrich:
Whatever we found that was relevant. And these were all very simple changes, which we introduced to provide the children with, to some extent, a multisensory experience as much as possible, even though we were testing them remotely. And we tried to do that without changing the paradigm of our experimental task. And just one last thing which I would like to emphasize is that a very important step is piloting our tasks with adults, because adults can tell us about potential technical issues they found in the task or even problems that they think they could emerge, or they can tell us about a potential lack of clarity in the instructions and things like that. But even more important than that, is that we should pilot the task with an actual child prior to data collection, because kids are generally honest and they will let you know exactly what they think about your task.
Simone Calabrich:
They’re also very creative. So if you ask them, they can give you some tips on some aspects, which you could perhaps add to the experiment to make it more engaging from the point of view of a child. And because they are your target group, it’s probably a good idea to listen to them.
Simone Calabrich:
This is all I have to share for today. I would like to thank my supervisor and one of our collaborators for their input. And thank you everyone for your attention.
Speaker 3:
Thank you very much. Thank you. So just a reminder, please do put your questions in the Q&A section and the speakers will be picking up on those throughout the rest of the afternoon. But just quickly, do you have any experience or any thoughts about the best way of adapting your really nice online paradigms for normally developing children? For if you were working with different groups of children, you might have issues around learning disability.
Simone Calabrich:
Sorry, I think I’m having some difficulties here with my Zoom.
Speaker 3:
That’s okay. Can you hear me? Did you hear the question?
Simone Calabrich:
Hello? Can you hear me?
Speaker 3:
Hi. Can you hear me?
Simone Calabrich:
Okay, I can now.
Speaker 3:
Excellent. Very quickly. A lovely study and a really nice example of how to modify things for good online experimentation with children. And the first question that’s come through is about what… Do you have any hints or tips or ideas about how you could modify the sort of thing you’re already doing for work with children with learning disabilities or learning challenges?
Simone Calabrich:
To be honest, I haven’t done any studies with children with learning disabilities, but I think probably the only thing that I would say is not to have a long experiment because it’s probably very exhausting for them to be staring at a screen for such a long time. And I know that we’re trying to do experiments remotely, and the idea is to do that differently from what we used to do in the lab, but definitely having someone with them, talking them through the experiment, I know it’s probably very time-consuming and it’s the opposite of what we’ve been doing with online research, but having a research assistant with them is probably the best thing to do for children with some sort of disability.
Speaker 3:
That’s wonderful. Thank you very much.