DFG funds project on contact tracing
One of the main strategies in the fight against CoViD-19 is Test and Trace. Data scientists have highlighted a main challenge to this approach: Classic contact tracing may be too slow to keep up with the infection dynamics of CoViD-19. However, there is an additional challenge, which is less well understood. For accurate reporting, interviewees have to remember all their contacts, sometimes going as far back as two weeks. What is the memory bottleneck for contact tracing? Ben and Max have developed a study idea to find out, which just received funding from the DFG.
Susanne Stoll tried to replicate methods from one of Ben's PhD papers and discovered a potential flaw in the analysis. Ben went back to the old data, confirmed the problem and retracted his original publication (retraction notice). He and some of his colleagues joined Susanne in an effort to explain the (surprisingly complicated) problem in a technical paper (preprint), so that others won't have to repeat his mistake. Sam Schwarzkopf wrote a blog post about the ordeal, Retraction Watch featured it as 'doing the right thing' and Ben shared his thoughts on curiosity and correcting our errors in an invited commentary in Nature.
Marcel gave a talk at Fribourg
Ben gave a talk at Berkeley
The gods of Zoom provide us with the opportunity to present our work afar, despite the distance and the virus. Ben kicked off with a talk on 'Where' in the ventral stream at the Neuroimaging Seminar Series hosted by Sonia Bishop's lab at UC Berkeley.
Marcel used the OSIE dataset to develop a short test of gaze behaviour and found that some dimensions of individual gaze biases can be estimated from less than 5 minutes worth of eyetracking data. This will help us and other researchers to probe individual gaze in a much more time-efficient manner, which is especially important for research involving children and other vulnerable individuals. Marcel published this as his very first paper, which just appeared in Journal of Vision. Congrats, Marcel! Also, special thanks to Dr. Stefanie Mueller and the ZPID PsychLab offline for collecting the validation data. The paper, code and data are all open access, so go ahead and use it =)
the group homepage is live - welcome to individual-perception.com =)