That is one confusing title! The point is this: When light reaches your eyes, you’re not immediately aware of that. It takes some time for your visual system to process the light, and to translate it into something the rest of your brain can work with. When that’s done, you consciously ‘see’. In a new paper, we show that the process of becoming aware of what you see, is affected by how large an object is. With an oversimplified example: If light bounces of a puppy, into your eyes, it takes a fraction of a second for you to become aware of the puppy. And it takes a fraction of a second longer if it’s a fat puppy.
Open Science (#openscience) is great! It entails sharing data and code between scientists, so that we can all benefit from each other’s efforts. However, there is a downside to sharing your stuff: You become a helpdesk for people who would like to use it, and sharing distracts from a core part of the job: publishing papers! Because research positions are offered to those who publish a lot, distracting yourself from doing so might put you out of a job in the long run. To solve this problem, publishing open data and software should be valued as much as publishing papers.
The Dutch Psychonomic Society’s biennial Winter Conference is upon us! Here, Dutch and international members of the Society meet to discuss cutting edge research. I’ll be there to listen to all of the amazing speakers, and to present a poster on our work in speed skating. Read this post for some additional info, and for a digital copy of the poster.
Two weeks ago, we published a Perspective article on how the starting procedure in racing sports could bias competitions. Some speed skating enthusiasts suggested we analyse the 100-meter times from the races we reported on. So we did! The results are very similar to our earlier results: Longer ready-start intervals lead to slower 100-meter times in Olympic speed skating.
Threatening elements (think spiders) in your surroundings tend to grasp your attention more strongly than non-threatening things (think puppies). Some scientists believe that your brain is wired to notice threatening stimuli quicker, via a special sub-cortical route. In a new experiment, we show that task-irrelevant threatening stimuli are prioritised over non-threatening stimuli, but that they are not processed any quicker.
Yesterday, we reported that random variability in the starting procedure of racing sports can bias competitions, even at Olympic events. Not everyone agreed. In this post we address all questions and criticisms, and provide an extra analysis that looks at within-athlete effects of changes in the ready-start interval on changes in race times. This analysis is robust to differences between skaters’ individual qualities, and has causal power. Our results indicate that there still is evidence that random differences in ready-start intervals might bias competitions. At the very least, this calls for future research into the starting procedure of racing sports. Which is exactly what we intended to provoke with yesterday’s publication.
At Olympic racing sports, the gold goes to whoever is the most talented and has trained the hardest. Or does it? Our new research shows that subtle random differences in starting procedures can bias athletes’ alertness. This makes them slower to respond to the starting shot, resulting in a higher finishing time. This small bias can the difference between winning gold, and not even being on the podium!
One underlying issue in psychopathy is an inability to use contextual information (e.g. the look on someone’s face) to guide attention. New research shows that psychopathic traits are associated with top-down, but not with bottom-up attention. In non-psych lingo: psychopaths are very focussed on the task at hand, and have issues in directing their attention to information that is irrelevant to said task (even if it might have helped them perform better).
Defining and treating neurological and psychiatric conditions by their symptoms alone is too narrow an approach. In order to create effective rehabilitation programmes, we need to look beyond symptoms, and uncover the basic building blocks of behaviour that underlie conditions. Fundamental research on healthy individuals is a crucial part of this process.
The EyeTribe tracker is really cheap, and you can now use it in Python and in Matlab. It’s not as bad as you would expect from its price, and you could probably use it in fixation or pupillometry studies. For in-depth info, read this validation study.