Some of my recent work.

Here, you will find links to ongoing and past projects that don't quite fall under the blog.

Who Am I?

I'm a recent graduate with a MSc in psychology, with one foot firmly in empirical psychology, research and psychological statistics, and the other in digital media and information technology.

I'd love to hear from you and learn more about what you do, so you should drop me a message!
You can read more about me in my CV.

My objective.

I'm looking to develop a career in user experience research and analytics in technology. I'm actively searching for opportunities where I would get to utilize my entire skill-set in a driven mixed professional team, while enjoying opportunities to develop professionally - I view learning new technologies on the job a huge benefit.

My process.

Developing a set of interdisciplinary skills is necessary to navigate and survive on the cutting edge of technology. I spend vast amounts of my free time developing a skill set spanning over data-analysis, research methodology and experimental design, web development, programming and writing.

My principles.

I believe in taking intellectual risks, I approach my life and my work with a healthy dose of exploration, and I believe that this healthy combination of ambition and curiosity is what breeds innovation. I believe in self development as a social obligation and in fully committing myself to things that I find important.

What I'm interested in.

I'm interested in a number of topics under quantitative behavioral sciences, but these are the things that really make me tick.

User experience research.

Anything can be improved with engagement - and what better way to maximize engagement, than to research where it comes from and how to influence it? User experience is about more than just usability - It's about maximizing reach and value through engagement.

Statistics and behavioral analytics.

I think the most insightful type of data science is creative, thought-provoking and methodologically sound while combining a number of different sources. Personally, I'm fascinated by combinations of behavioral artifacts and the ways they can be used in concordance with other sources of data to extract information about users' cognition and motivation.

Web-based experimental psychology.

Experimental psychology has been around since the 19th century, but it has only recently started leaking to the cyberspace. The change of domain has implications for methodology and it creates considerations for research design and data-analysis that are not always apparent on first sight.

An assortment of my thoughts.

Here, you can find an assortment of my most recent posts and articles on topics related to psychology, digital media and information technology.

February 18, 2015

Tutorials - deploying your jsPsych experiment using Node.js, Express and mongoDB on Heroku.

Lately, I've gotten some requests for a tutorial on deploying jsPsych experiments, so I've committed to writing one. It will be slightly better suited for people with some programming experience, but if you're not familiar with the web and the terminology circulating around the technologies I'm using, please don't be intimidated. My intention for this tutorial is to write a solution that is sufficiently simple so that you should be able to deploy your jsPsych experiment with no previous back end experience.

January 28, 2015

Make it pretty! Use styling to make your experiment relevant and prevent it from standing out in a negative way.

For my previous study, I had a total of 290 participants from a very specific population, in just a few days of open recruitment. The completion rate was over 56%, which is amazing when you consider that the 20-30 minutes of participation consisted of tasks that require constant vigilance and mental effort and were really no walk in the park, and definitely not entertaining. Despite of being meant to assess cognitive skills and team cohesion in MOBA players, the experiment served another purpose - to assess the rate of engagement in what I like to refer to as native experiments.

December 3, 2014

How to not make motivated participants quit.

Some participants are excited about your research, but they drop out when they're disappointed with the execution. The first thing you need to do is to polish your user experience to a degree where there is nothing intrinsic to the design that would irritate the user sufficiently to cause them to quit. It is possible that the user will still drop out because the battery is too long or because the task is too difficult, but if they drop out because your instructions are poorly written or because your web page lacks usability, you lose a participant for absolutely no reason.

November 12, 2014

How to minimize participant drop out and maximize their engagement in web-based experiments.

One of the problems cited for web-based experiments is a relatively high rate of participant drop out. In the next three blog posts, we're going to discuss how to minimize drop out and how to maximize participant engagement by using some very simple principles and good habits from product development and customer service. We'll also come up with some more creative ideas on how to keep participants interested and even how to leverage virality to access more participants.

October 30, 2014

My experience developing a web-based experiment with jsPsych on Node.js

Recently, I programmed a set of surveys and cognitive tasks for my master's thesis. For some of the tasks, I used jsPsych - a JavaScript-library for creating web-based experiments, for the back-end I chose Node.js with Express 4.0 and Sequelize. I deployed the experiment on DigitalOceans, and I describe my experience here. If you'd be interested in a series of tutorials on how to deploy jsPsych experiments, throw me an email!

July 30, 2014

The advantages and challenges of web-based experiments.

Web experiments are excellent for maximizing the scope of a study when it comes to the participant pool. Utilizing web experiments, one can expect very large and diverse samples, which can open doors to addressing hypotheses that simply could not be tested in a lab environment. But as always, this major advantage has to be weighted and considered in light of the shortcomings and challenges of setting up and distributing web-based assessment systems.