This follows from work showing random generation can be used to elicit beliefs in non-numerical domains which I mentioned the other day!
https://t.co/IyNh0USB4T
🎉New preprint out led by @PabloLenVillag1! We use random generation as a way to elicit people's beliefs. This is as accurate as other elicitation methods, but it can be used in non-numeric domains. Check it out here https://t.co/dFKe1IUfQr
It does so better than using participants' explicit estimates of the proportions of men and women in those jobs as a predictor, and better than the true proportions.
🚨NEW PAPER🚨
Proud and excited to see this paper out in print @PNASNews@dirkuwulff and I asked ourselves: How do people search for information before making a choice? We analyzed over 1M information-search decisions to answer that.
Open access: https://t.co/Stx86kHfgT
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🎉New preprint out led by @PabloLenVillag1! We use random generation as a way to elicit people's beliefs. This is as accurate as other elicitation methods, but it can be used in non-numeric domains. Check it out here https://t.co/dFKe1IUfQr
Our work on the interplay of perceptual and economic decision-making is now out in @eLife as a reviewed preprint:
https://t.co/051a1w5NeX
By @PrashantiGanesh Radek Cichy @nico_schuck@carstenfinke and myself @CCNBerlin@CMDNLab
Stay tuned for our next preprint w\ pupil data
Gino's case against us has been dismissed.
Scientists cannot effectively sue other scientists for exposing fraud/errors in their work.
Those who work to correct the scientific record can sleep better tonight. Those who don’t want it corrected, well, I don’t care how they sleep.
We had a fantastic time at our first lab retreat at the North Sea Coast in Büsum! Besides catching up on our research projects, we discussed challenges in modeling, the future of our field and lab, and career opportunities in science. Thanks to all for this great experience! 🌅
✅New Paper (with @SebastianGluth ) is now available online (https://t.co/awd8BRsG14)
Here, we review the cognitive models incorporating eye-movement data and outline their assumptions and predictions about the interactions between visual attention, options, and choices. 👀💡
🥳 Excited to announce that the R package "samplr" developed by Lucas Castillo, Adam N Sanborn, and me, has just been published!
It is a tool for simulating the process of mental sampling and decisions. Feel free to try it, and let us know your thoughts! https://t.co/MUFndDGCYL
Hi!
The samplr package is now on CRAN!! 🥳🥳🥳https://t.co/j7DxiW8iog
This is work that @YunXiao_Li814, Adam Sanborn and I have been doing for some time now (thanks for your work and help!!), so I'm very excited to have reached this milestone. Some notes follow (1/6)
Which you can do as: Castillo, L., Li, Y.-X., & Sanborn, A. N. (2024). samplr: Compare Human Performance to Sampling Algorithms (Version 1.0.1) [Computer software]. https://t.co/wAuxg8tBOo
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