Samuel Hewitt, PhD
samuelhewitt.bsky.social
Samuel Hewitt, PhD
@samuelhewitt.bsky.social
Machine Learning Engineer at Limbic
Building AI therapy
Previously, Max Planck Centre for Computational Psychiatry @ UCL
I think that's already the case !! We can stop measuring the function of bored brains now
April 10, 2025 at 1:39 PM
2 prompts attached !
April 10, 2025 at 12:15 PM
it wrote all the front-end code ! just need to connect your database and adjust the trials. I just gave it this image for the style
April 10, 2025 at 10:23 AM
April 9, 2025 at 7:43 PM
Make a choice and get feedback
April 9, 2025 at 7:34 PM
Trial 1
April 9, 2025 at 7:34 PM
Hello world
April 9, 2025 at 7:34 PM
this is super cool and clever. Well done, really like it. Sth like this has been scratching at me for a while too - congrats on putting it together
March 20, 2025 at 10:30 AM
Thanks Quentin!
March 18, 2025 at 9:46 PM
thanks Micah !!
March 18, 2025 at 1:08 PM
mobile study
ema-motivation.web.app
March 18, 2025 at 11:33 AM
woopsy sorry, will correct!

here is a link to the full repo
github.com/DevComPsy/re...

and you can also play a demo of the game on your phone here:
ema-motivation.web.app
GitHub - DevComPsy/reward-effort-2afc-firebase-EMA-motivation: pre-print fork
pre-print fork. Contribute to DevComPsy/reward-effort-2afc-firebase-EMA-motivation development by creating an account on GitHub.
github.com
March 18, 2025 at 11:31 AM
thank you to brilliant collaborators Prof @docqhuys.bsky.social and Dr Agnes Norbury (now Thymia) and my PhD supervisor Prof @tobiasuhauser.bsky.social
March 18, 2025 at 11:23 AM
I hope it goes without saying that all data and code, including the smartphone game are available

osf.io/3mhqb/
EMA motivation
Data and code for the project all task and analysis code: https://github.com/DevComPsy/reward-effort-2afc-firebase-EMA-motivation Hosted on the Open Science Framework
osf.io
March 18, 2025 at 11:23 AM
This suggests that specific transient feelings can drive computational decision mechanisms in the future.

We think this study design can allow many new questions in computational psychiatry, bridging long established lab theories with real, human experiences and potentially clinical translation
March 18, 2025 at 11:23 AM
State motivation-choice coupling was driven by fluctuations in reward sensitivity. This is a fancy way of saying that when more motivated, (the same) rewards seemed more rewarding.

What I think is SUPER 😎 is that this was not only rewards NOW, but also rewards at the NEXT timepoint.
March 18, 2025 at 11:23 AM
State motivation was a critical source of variability in choices over time (leading to greater willingness to make effort, duh).

But state motivation also interacted with trait-motivation, meaning that people with LOWER trait (higher apathy) had even stronger state-choice coupling.
March 18, 2025 at 11:23 AM
N.B. our game could also reliably capture effort-based choices and the model-parameters which govern this value-based decision
March 18, 2025 at 11:23 AM