Future directions

As founding principle of newlylabs we have want to develop research through our three core statements: Research, Quality, Progress

We have identified directions that we want to pioneer in collaboration with leading university researchers.

Are you interested in participating in those projects or have a project proposal, please contact us.

Experimental platform evaluation

This aim involves the experimental investigation of "competing" and complementing platforms for research. We are keen to examine, for example, how our online research is different when participants do the research tasks at home in their own environment compared to doing the same task in the laboratory. Additionally we are interested in how research tools that we develop perform in a rigorous 1-on-1 comparison with (quite costly) lab software with web-plugins. Our own research suggests that the difference is very small to non-existent, but we think an experiment here is important and interesting.

Algorithm optimisation

We use our own algorithms to perform stimulus optimisation selections. For example, in reaction-time tasks, it can be important to display only those words or pictures that have a special saliency to a participant or have been responded to in a certain way earlier. We want to broaden such computer adaptive testing approaches more and are interested in novel ways to accomplish this. In other words, we are interested in improving our algorithms so that all during-the-experiment-adjustments that often happen in lab research are performed instantly and without any human error.

Mobile research integration

Research tools have not yet explored the potential of mobile integrations of lab research. Although surveys and less complex research tasks are being developed for mobile use, research with more complexity is confined to the laboratory. This is not an evil act but it has far-reaching limitations. To address this problem, we are currently in the process of phasing in complex research on mobile platforms. To master this field, we need more research, for example. extending the platform comparison by adding mobile apps. We see the greatest potential in this sub-area of our research development and are very interested in innovative research ideas and project proposals.

Setting the stage for dynamic research

When we founded newlylabs, one major concern with current research was that it is static, that is we only measure our variables at one point in space and time. However, this can impact upon the validity in that we assume that variables are constant throughout the year, the week, and even the day and not affected by movements in space. For example, it could be that people react slower (faster) to stimuli in the morning that during lunch time. This in turn will provide invaluable insights to practitioners using reaction times for memory detection. We would also open research for unknown longitudinal research methodologies by making use of powerful mobile application managements (e.g. notifying participants of their participation).